Models

432 resultados

StepFun: Step 5 Preview

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and professional...

by stepfun|Oct 8, 2026|1,000K context|ARS$ 3.098,66/M input tokens|ARS$ 8.366,37/M output tokens|text+image+video->text

Anthropic: Claude Haiku 5.5

ZDR

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...

by anthropic|Oct 7, 2026|1,000K context|ARS$ 309,87/M input tokens|ARS$ 1.549,33/M output tokens|text+image+file->text

Anthropic: Claude Haiku 5.5 (batch)

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...

by anthropic|Oct 7, 2026|1,000K context|ARS$ 154,93/M input tokens|ARS$ 774,66/M output tokens|text+image+file->text

Google: Nano Banana 2.1

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...

by google|Oct 6, 2026|65.536K context|ARS$ 4.647,98/M input tokens|ARS$ 23.239,91/M output tokens|text+image->text+image

Mistral: Mistral Large 4

ZDR

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...

by mistralai|Oct 6, 2026|1,048.576K context|ARS$ 2.107,09/M input tokens|ARS$ 6.476,19/M output tokens|text+image->text

Pareto 26.10 Preview

ZDR

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks. This is a preview of the...

by unbiased|Oct 1, 2026|1,048.576K context|ARS$ 2.478,92/M input tokens|ARS$ 9.915,70/M output tokens|text+image->text

OpenAI: GPT-6.1 Sol Pro

ZDR

GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Sep 29, 2026|1,050K context|ARS$ 6.197,31/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

OpenAI: GPT-6.1 Sol Pro (batch)

GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Sep 29, 2026|1,050K context|ARS$ 3.098,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

OpenAI: GPT-6.1 Sol

ZDR

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...

by openai|Sep 29, 2026|1,050K context|ARS$ 6.197,31/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

OpenAI: GPT-6.1 Sol (batch)

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...

by openai|Sep 29, 2026|1,050K context|ARS$ 3.098,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

Anthropic: Claude Sonnet 5.5

ZDR

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...

by anthropic|Sep 28, 2026|1,000K context|ARS$ 6.197,31/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

Anthropic: Claude Sonnet 5.5 (batch)

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...

by anthropic|Sep 28, 2026|1,000K context|ARS$ 3.098,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

Perceptron: Perceptron Mk1.5

ZDR

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...

by perceptron|Sep 25, 2026|36.864K context|ARS$ 464,80/M input tokens|ARS$ 4.647,98/M output tokens|text+image+audio+video->text

Fireworks: Ember-1

ZDR

Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi K3](https://openrouter.ai/moonshotai/kimi-k3). It is designed to make every token go further: it produces shorter reasoning traces, using roughly 40%...

by fireworks|Sep 24, 2026|1,048.576K context|ARS$ 9.295,97/M input tokens|ARS$ 46.479,83/M output tokens|text+image->text

Z.ai: GLM 5.3 Prime

GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration. It supports text input and output with a 1M-token...

by z-ai|Sep 23, 2026|1,000K context|ARS$ 8.676,23/M input tokens|ARS$ 27.268,16/M output tokens|text->text

Qwen: Qwen3.8 Max Prime

Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point. It accepts text, image, and video...

by qwen|Sep 23, 2026|1,000K context|ARS$ 12.394,62/M input tokens|ARS$ 37.183,86/M output tokens|text+image+video->text

AionLabs: Aion 3.5 Mini

Aion 3.5 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It is the smaller, lower-cost sibling of Aion 3.5 and uses...

by aion-labs|Sep 23, 2026|262.144K context|ARS$ 2.169,06/M input tokens|ARS$ 4.338,12/M output tokens|text->text

AionLabs: Aion 3.5

Aion 3.5 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple specialized models each...

by aion-labs|Sep 23, 2026|262.144K context|ARS$ 9.295,97/M input tokens|ARS$ 18.591,93/M output tokens|text->text

Upstage: Solar Mini 4

ZDR

Solar Mini 4 is Upstage's compact, cost-efficient language model, a 35B-parameter mixture-of-experts with 3B active parameters and a 524K context window. It is built for agentic use cases where response...

by upstage|Sep 23, 2026|524.288K context|ARS$ 154,93/M input tokens|ARS$ 619,73/M output tokens|text->text

Cohere: Command A+

ZDR

Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured...

by cohere|Sep 22, 2026|192K context|ARS$ 929,60/M input tokens|ARS$ 4.647,98/M output tokens|text+image->text

OpenAI: GPT-6 Luna Pro

ZDR

GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Sep 22, 2026|1,050K context|ARS$ 309,87/M input tokens|ARS$ 1.549,33/M output tokens|text+image+file->text

OpenAI: GPT-6 Luna Pro (batch)

GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Sep 22, 2026|1,050K context|ARS$ 154,93/M input tokens|ARS$ 774,66/M output tokens|text+image+file->text

OpenAI: GPT-6 Luna

ZDR

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...

by openai|Sep 22, 2026|1,050K context|ARS$ 309,87/M input tokens|ARS$ 1.549,33/M output tokens|text+image+file->text

OpenAI: GPT-6 Luna (batch)

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...

by openai|Sep 22, 2026|1,050K context|ARS$ 154,93/M input tokens|ARS$ 774,66/M output tokens|text+image+file->text

OpenAI: GPT-6 Sol Pro

ZDR

GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Sep 22, 2026|1,050K context|ARS$ 6.197,31/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

OpenAI: GPT-6 Sol Pro (batch)

GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Sep 22, 2026|1,050K context|ARS$ 3.098,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

OpenAI: GPT-6 Sol

ZDR

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...

by openai|Sep 22, 2026|1,050K context|ARS$ 6.197,31/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

OpenAI: GPT-6 Sol (batch)

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...

by openai|Sep 22, 2026|1,050K context|ARS$ 3.098,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

Anthropic: Claude Opus 5.5

ZDR

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...

by anthropic|Sep 22, 2026|1,000K context|ARS$ 12.394,62/M input tokens|ARS$ 61.973,10/M output tokens|text+image+file->text

Anthropic: Claude Opus 5.5 (batch)

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...

by anthropic|Sep 22, 2026|1,000K context|ARS$ 6.197,31/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

Xiaomi: MiMo-V2.6-Pro-UltraSpeed

MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro. Built from the same 1T MiMo-V2.6-Pro checkpoint, it matches the original model in quality while delivering roughly 10x...

by xiaomi|Sep 21, 2026|1,048.576K context|ARS$ 13.479,15/M input tokens|ARS$ 26.958,30/M output tokens|text+image+audio+video->text

Xiaomi: MiMo-V2.6-Flash

ZDR

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...

by xiaomi|Sep 21, 2026|1,050K context|ARS$ 433,81/M input tokens|ARS$ 867,62/M output tokens|text+image+audio+video->text

Xiaomi: MiMo-V2.6-Pro

ZDR

MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...

by xiaomi|Sep 21, 2026|1,050K context|ARS$ 1.347,91/M input tokens|ARS$ 2.695,83/M output tokens|text+image+audio+video->text

SpaceXAI: Grok 4.7

ZDR

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and...

by x-ai|Sep 21, 2026|500K context|ARS$ 6.197,31/M input tokens|ARS$ 18.591,93/M output tokens|text+image+file->text

Qwen: Qwen3.8 Omni Flash

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...

by qwen|Sep 21, 2026|1,000K context|ARS$ 464,80/M input tokens|ARS$ 1.456,37/M output tokens|text+image+audio+video->text

PrismML: Ternary Bonsai 2 27B

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...

by prism-ml|Sep 18, 2026|262.144K context|ARS$ 232,40/M input tokens|ARS$ 1.549,33/M output tokens|text+image->text

Z.ai: GLM 5.3 FlashX

ZDR

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...

by z-ai|Sep 18, 2026|1,048.576K context|ARS$ 1.146,50/M input tokens|ARS$ 3.873,32/M output tokens|text+image+video->text

Pareto

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

by unbiased|Sep 17, 2026|262.144K context|ARS$ 7.746,64/M input tokens|ARS$ 23.239,91/M output tokens|text+image->text

DeepSeek: DeepSeek Pro Latest

This model always redirects to the latest model in the DeepSeek Pro family.

by ~deepseek|Sep 14, 2026|1,048.576K context|ARS$ 678,98/M input tokens|ARS$ 2.036,93/M output tokens|text->text

DeepSeek: DeepSeek Flash Latest

This model always redirects to the latest model in the DeepSeek Flash family.

by ~deepseek|Sep 14, 2026|1,048.576K context|ARS$ 107,83/M input tokens|ARS$ 431,33/M output tokens|text+image->text

Inference.net: Schematron V2 Turbo

ZDR

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...

by inference-net|Sep 12, 2026|128K context|ARS$ 92,96/M input tokens|ARS$ 464,80/M output tokens|text->text

Inference.net: Schematron V2 Small

ZDR

Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...

by inference-net|Sep 12, 2026|128K context|ARS$ 154,93/M input tokens|ARS$ 712,69/M output tokens|text->text

OpenAI: GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

by ~openai|Sep 11, 2026|1,050K context|ARS$ 30.986,55/M input tokens|ARS$ 154.932,75/M output tokens|text+image+file->text

OpenAI: GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

by ~openai|Sep 11, 2026|1,050K context|ARS$ 6.197,31/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

OpenAI: GPT Terra Latest

This model always redirects to the latest model in the GPT Terra family.

by ~openai|Sep 11, 2026|1,050K context|ARS$ 6.197,31/M input tokens|ARS$ 37.183,86/M output tokens|text+image+file->text

OpenAI: GPT Luna Latest

This model always redirects to the latest model in the GPT Luna family.

by ~openai|Sep 11, 2026|1,050K context|ARS$ 309,87/M input tokens|ARS$ 1.549,33/M output tokens|text+image+file->text

Sakana: Fugu Ultra v2

Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to...

by sakana|Sep 11, 2026|1,000K context|ARS$ 15.493,28/M input tokens|ARS$ 92.959,65/M output tokens|text+image+file->text

Sakana: Fugu Max

Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

by sakana|Sep 11, 2026|1,000K context|ARS$ 6.197,31/M input tokens|ARS$ 18.591,93/M output tokens|text+image+file->text

inclusionAI: Ling 3.0 Flash VL

ZDR

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...

by inclusionai|Sep 10, 2026|262.144K context|ARS$ 65,07/M input tokens|ARS$ 190,88/M output tokens|text+image+video->text

DeepSeek: DeepSeek V4.1 Flash

ZDR

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

by deepseek|Sep 10, 2026|1,048.576K context|ARS$ 929,60/M input tokens|ARS$ 3.718,39/M output tokens|text+image->text

DeepSeek: DeepSeek V4.1 Flash (batch)

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

by deepseek|Sep 10, 2026|1,048.576K context|ARS$ 347,05/M input tokens|ARS$ 1.041,15/M output tokens|text+image->text

Inception: Mercury 2.5

ZDR

Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...

by inception|Sep 8, 2026|260K context|ARS$ 123,95/M input tokens|ARS$ 464,80/M output tokens|text->text

Nex AGI: Nex-N2.5-Mini

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

by nex-agi|Sep 8, 2026|262.144K context|ARS$ 77,47/M input tokens|ARS$ 309,87/M output tokens|text+image->text

Nex AGI: Nex-N2.5-Pro

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...

by nex-agi|Sep 8, 2026|262.144K context|ARS$ 232,40/M input tokens|ARS$ 774,66/M output tokens|text+image->text

OpenAI: GPT-6 Astra

ZDR

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...

by openai|Sep 4, 2026|1,050K context|ARS$ 30.986,55/M input tokens|ARS$ 154.932,75/M output tokens|text+image+file->text

OpenAI: GPT-6 Astra (batch)

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...

by openai|Sep 4, 2026|1,050K context|ARS$ 15.493,28/M input tokens|ARS$ 77.466,38/M output tokens|text+image+file->text

OpenAI: GPT-6 Astra Pro

ZDR

GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Sep 4, 2026|1,050K context|ARS$ 30.986,55/M input tokens|ARS$ 154.932,75/M output tokens|text+image+file->text

OpenAI: GPT-6 Astra Pro (batch)

GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Sep 4, 2026|1,050K context|ARS$ 15.493,28/M input tokens|ARS$ 77.466,38/M output tokens|text+image+file->text

inclusionAI: Ling 3.0 Flash Sante

ZDR

Ling 3.0 Flash Sante is a health and medicine-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for...

by inclusionai|Sep 4, 2026|262.144K context|ARS$ 130,14/M input tokens|ARS$ 381,75/M output tokens|text->text

Qwen: Qwen3.8 Max (0902)

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

by qwen|Sep 3, 2026|1,000K context|ARS$ 6.197,31/M input tokens|ARS$ 18.591,93/M output tokens|text+image+video->text

Meta: Muse Spark 1.3 Contributor

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

by meta|Sep 2, 2026|1,048.576K context|ARS$ 309,87/M input tokens|ARS$ 619,73/M output tokens|text+image+file+video->text

Meta: Muse Spark 1.3

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...

by meta|Sep 2, 2026|1,048.576K context|ARS$ 3.873,32/M input tokens|ARS$ 13.169,28/M output tokens|text+image+file+video->text

Google: Gemini 3.8 Flash

ZDR

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

by google|Sep 2, 2026|1,048.576K context|ARS$ 2.323,99/M input tokens|ARS$ 11.619,96/M output tokens|text+image+file+audio+video->text

Google: Gemini 3.8 Flash (batch)

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

by google|Sep 2, 2026|1,048.576K context|ARS$ 1.162,00/M input tokens|ARS$ 5.809,98/M output tokens|text+image+file+audio+video->text

Anthropic: Claude Fable 5.1

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

by anthropic|Sep 1, 2026|1,000K context|ARS$ 30.986,55/M input tokens|ARS$ 154.932,75/M output tokens|text+image+file->text

Anthropic: Claude Fable 5.1 (batch)

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

by anthropic|Sep 1, 2026|1,000K context|ARS$ 15.493,28/M input tokens|ARS$ 77.466,38/M output tokens|text+image+file->text

IBM: Granite 4.2 8B

ZDR

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...

by ibm-granite|Aug 31, 2026|131.072K context|ARS$ 185,92/M input tokens|ARS$ 774,66/M output tokens|text->text

Tencent: Hy4 preview

ZDR

Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that...

by tencent|Aug 28, 2026|1,048.576K context|ARS$ 2.325,85/M input tokens|ARS$ 6.974,76/M output tokens|text->text

inclusionAI: Ling 3.0 Flash Fin

ZDR

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...

by inclusionai|Aug 27, 2026|262.144K context|ARS$ 130,14/M input tokens|ARS$ 381,75/M output tokens|text->text

Z.ai: GLM Flash Latest

This model always redirects to the latest model in the GLM Flash family.

by ~z-ai|Aug 27, 2026|1,048.576K context|ARS$ 123,95/M input tokens|ARS$ 1.549,33/M output tokens|text+image+video->text

Qwen: Qwen3.8 Flash

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

by qwen|Aug 26, 2026|1,000K context|ARS$ 464,80/M input tokens|ARS$ 1.456,37/M output tokens|text+image+video->text

Z.ai: GLM 5.3 Flash

ZDR

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

by z-ai|Aug 26, 2026|1,048.576K context|ARS$ 464,80/M input tokens|ARS$ 1.549,33/M output tokens|text+image+video->text

Z.ai: GLM 5.3 Flash (batch)

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

by z-ai|Aug 26, 2026|1,048.576K context|ARS$ 185,92/M input tokens|ARS$ 619,73/M output tokens|text+image+video->text

Meta: Muse Spark 1.2 Contributor

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

by meta|Aug 21, 2026|1,048.576K context|ARS$ 309,87/M input tokens|ARS$ 619,73/M output tokens|text+image+file+video->text

DeepSeek: DeepSeek V4 Flash Vision Exp

ZDR

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...

by deepseek|Aug 21, 2026|1,048.576K context|ARS$ 668,07/M input tokens|ARS$ 2.004,21/M output tokens|text+image->text

Tencent: Hy-MT2-1.8B

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Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided...

by tencent|Aug 20, 2026|8.192K context|ARS$ 136,34/M input tokens|ARS$ 548,46/M output tokens|text->text

Tencent: Hy-MT2-30B-A3B

ZDR

Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and...

by tencent|Aug 20, 2026|8.192K context|ARS$ 229,30/M input tokens|ARS$ 914,10/M output tokens|text->text

Z.ai: GLM Latest

This model always redirects to the latest GLM model from Z.ai.

by ~z-ai|Aug 19, 2026|1,048.576K context|ARS$ 216,91/M input tokens|ARS$ 14.873,54/M output tokens|text->text

Tencent: Hy-MT2-7B

ZDR

Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.

by tencent|Aug 19, 2026|8.192K context|ARS$ 229,30/M input tokens|ARS$ 914,10/M output tokens|text->text

Z.ai: GLM 5.3

ZDR

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

by z-ai|Aug 18, 2026|1,048.576K context|ARS$ 216,91/M input tokens|ARS$ 14.873,54/M output tokens|text->text

Z.ai: GLM 5.3 (batch)

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

by z-ai|Aug 18, 2026|1,048.576K context|ARS$ 1.394,39/M input tokens|ARS$ 6.197,31/M output tokens|text->text

Qwen: Qwen3.8 27B

ZDR

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

by qwen|Aug 14, 2026|1,000K context|ARS$ 123,95/M input tokens|ARS$ 7.126,91/M output tokens|text+image+video->text

Google: Gemini 3.7 Flash

ZDR

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

by google|Aug 13, 2026|1,048.576K context|ARS$ 2.323,99/M input tokens|ARS$ 11.619,96/M output tokens|text+image+file+audio+video->text

Google: Gemini 3.7 Flash (batch)

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

by google|Aug 13, 2026|1,048.576K context|ARS$ 1.162,00/M input tokens|ARS$ 5.809,98/M output tokens|text+image+file+audio+video->text

ByteDance Seed: Seed 2.1 Turbo

ZDR

Seed 2.1 Turbo is a multimodal model from ByteDance Seed for coding and long-horizon agent workflows. It is suited for end-to-end software delivery, multi-step task execution, and understanding visual and...

by bytedance-seed|Aug 12, 2026|262.144K context|ARS$ 1.549,33/M input tokens|ARS$ 7.746,64/M output tokens|text+image+video->text

Qwen: Qwen3.8 2.4T A95B

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Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...

by qwen|Aug 12, 2026|1,048.576K context|ARS$ 6.197,31/M input tokens|ARS$ 18.591,93/M output tokens|text->text

ByteDance Seed: Seed-2.0-Code

ZDR

Seed 2.0 Code is a model from ByteDance Seed optimized for agentic coding. It is suited for frontend development, multilingual programming tasks, and coding-agent workflows in tools such as Claude...

by bytedance-seed|Aug 12, 2026|262.144K context|ARS$ 1.549,33/M input tokens|ARS$ 9.295,97/M output tokens|text+image+video->text

DeepSeek: DeepSeek V4 Pro 0813

ZDR

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.

by deepseek|Aug 12, 2026|1,048.576K context|ARS$ 2.045,11/M input tokens|ARS$ 6.135,34/M output tokens|text->text

SpaceXAI: Grok 4.6

ZDR

Grok 4.6 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM. It is succeeded by [Grok 4.7](/x-ai/grok-4.7).

by x-ai|Aug 12, 2026|500K context|ARS$ 6.197,31/M input tokens|ARS$ 18.591,93/M output tokens|text+image+file->text

NVIDIA: Nemotron 3.5 Lightning

ZDR

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...

by nvidia|Aug 11, 2026|262.144K context|ARS$ 216,91/M input tokens|ARS$ 619,73/M output tokens|text->text

Sakana: Sakana Namazu

Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following,...

by sakana|Aug 11, 2026|262.144K context|ARS$ 2.943,72/M input tokens|ARS$ 12.394,62/M output tokens|text+image+file->text

Upstage: Solar Pro 4

ZDR

Solar Pro 4 is Upstage's cost-efficient large language model, featuring a 524K context window. It is built for long-horizon tasks and agentic workflows, with strong capabilities in office productivity, document-intensive...

by upstage|Aug 10, 2026|524.288K context|ARS$ 278,88/M input tokens|ARS$ 1.115,52/M output tokens|text->text

Meta: Muse Glimmer 30B

ZDR

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

by meta|Aug 9, 2026|131.072K context|ARS$ 929,60/M input tokens|ARS$ 3.718,39/M output tokens|text+image->text

Meta: Muse Spark 1.2

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window....

by meta|Aug 5, 2026|1,048.576K context|ARS$ 3.873,32/M input tokens|ARS$ 13.169,28/M output tokens|text+image+file+video->text

DeepSeek: DeepSeek V4 Flash Latest

This model always redirects to the latest model in the DeepSeek V4 Flash family.

by ~deepseek|Aug 1, 2026|1,048.576K context|ARS$ 55,78/M input tokens|ARS$ 1.983,14/M output tokens|text->text

DeepSeek: DeepSeek V4 Flash 0731

ZDR

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....

by deepseek|Jul 31, 2026|1,048.576K context|ARS$ 55,78/M input tokens|ARS$ 1.983,14/M output tokens|text->text

Thinking Machines: Inkling Small

ZDR

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

by thinkingmachines|Jul 30, 2026|524.288K context|ARS$ 1.394,39/M input tokens|ARS$ 3.718,39/M output tokens|text+image+audio->text

Qwen: Qwen3.7 Flash

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...

by qwen|Jul 27, 2026|1,000K context|ARS$ 92,96/M input tokens|ARS$ 402,83/M output tokens|text+image+video->text

Anthropic: Claude Opus 5

ZDR

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

by anthropic|Jul 24, 2026|1,000K context|ARS$ 15.493,28/M input tokens|ARS$ 77.466,38/M output tokens|text+image+file->text

Anthropic: Claude Opus 5 (batch)

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

by anthropic|Jul 24, 2026|1,000K context|ARS$ 7.746,64/M input tokens|ARS$ 38.733,19/M output tokens|text+image+file->text

inclusionAI: Ling 3.0 Flash

ZDR

*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...

by inclusionai|Jul 23, 2026|262.144K context|ARS$ 65,07/M input tokens|ARS$ 195,22/M output tokens|text->text

Poolside: Laguna S 2.1

Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...

by poolside|Jul 21, 2026|1,048.576K context|ARS$ 278,88/M input tokens|ARS$ 557,76/M output tokens|text->text

Google: Gemini 3.6 Flash

ZDR

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

by google|Jul 21, 2026|1,048.576K context|ARS$ 2.323,99/M input tokens|ARS$ 11.619,96/M output tokens|text+image+file+audio+video->text

Google: Gemini 3.6 Flash (batch)

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

by google|Jul 21, 2026|1,048.576K context|ARS$ 1.162,00/M input tokens|ARS$ 5.809,98/M output tokens|text+image+file+audio+video->text

Google: Gemini 3.5 Flash Lite

ZDR

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

by google|Jul 21, 2026|1,048.576K context|ARS$ 929,60/M input tokens|ARS$ 7.746,64/M output tokens|text+image+file+audio+video->text

Google: Gemini 3.5 Flash Lite (batch)

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

by google|Jul 21, 2026|1,048.576K context|ARS$ 464,80/M input tokens|ARS$ 3.873,32/M output tokens|text+image+file+audio+video->text

Meituan: LongCat 2.0

LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...

by meituan|Jul 20, 2026|1,048.756K context|ARS$ 929,60/M input tokens|ARS$ 3.718,39/M output tokens|text->text

Thinking Machines: Inkling

ZDR

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

by thinkingmachines|Jul 17, 2026|524.288K context|ARS$ 3.098,66/M input tokens|ARS$ 12.549,55/M output tokens|text+image+audio->text

MoonshotAI: Kimi K3

ZDR

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

by moonshotai|Jul 16, 2026|1,048.576K context|ARS$ 2.478,92/M input tokens|ARS$ 41.831,84/M output tokens|text+image+video->text

MoonshotAI: Kimi K3 (batch)

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

by moonshotai|Jul 16, 2026|1,048.576K context|ARS$ 7.064,93/M input tokens|ARS$ 35.324,67/M output tokens|text+image+video->text

Meta: Muse Spark 1.1

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window....

by meta|Jul 16, 2026|1,048.576K context|ARS$ 3.873,32/M input tokens|ARS$ 13.169,28/M output tokens|text+image+file+video->text

OpenAI: GPT-5.6 Luna Pro

ZDR

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Jul 9, 2026|1,050K context|ARS$ 619,73/M input tokens|ARS$ 3.718,39/M output tokens|text+image+file->text

OpenAI: GPT-5.6 Luna Pro (batch)

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Jul 9, 2026|1,050K context|ARS$ 309,87/M input tokens|ARS$ 1.859,19/M output tokens|text+image+file->text

OpenAI: GPT-5.6 Luna

ZDR

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

by openai|Jul 9, 2026|1,050K context|ARS$ 619,73/M input tokens|ARS$ 3.718,39/M output tokens|text+image+file->text

OpenAI: GPT-5.6 Luna (batch)

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

by openai|Jul 9, 2026|1,050K context|ARS$ 309,87/M input tokens|ARS$ 1.859,19/M output tokens|text+image+file->text

OpenAI: GPT-5.6 Terra Pro

ZDR

GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Jul 9, 2026|1,050K context|ARS$ 6.197,31/M input tokens|ARS$ 37.183,86/M output tokens|text+image+file->text

OpenAI: GPT-5.6 Terra Pro (batch)

GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Jul 9, 2026|1,050K context|ARS$ 3.098,66/M input tokens|ARS$ 18.591,93/M output tokens|text+image+file->text

OpenAI: GPT-5.6 Terra

ZDR

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

by openai|Jul 9, 2026|1,050K context|ARS$ 6.197,31/M input tokens|ARS$ 37.183,86/M output tokens|text+image+file->text

OpenAI: GPT-5.6 Terra (batch)

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

by openai|Jul 9, 2026|1,050K context|ARS$ 3.098,66/M input tokens|ARS$ 18.591,93/M output tokens|text+image+file->text

OpenAI: GPT-5.6 Sol Pro

ZDR

GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Jul 9, 2026|1,050K context|ARS$ 6.197,31/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

OpenAI: GPT-5.6 Sol Pro (batch)

GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

by openai|Jul 9, 2026|1,050K context|ARS$ 3.098,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

OpenAI: GPT-5.6 Sol

ZDR

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...

by openai|Jul 9, 2026|1,050K context|ARS$ 6.197,31/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

OpenAI: GPT-5.6 Sol (batch)

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...

by openai|Jul 9, 2026|1,050K context|ARS$ 3.098,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

SpaceXAI: Grok 4.5

ZDR

Grok 4.5 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM.

by x-ai|Jul 8, 2026|500K context|ARS$ 6.197,31/M input tokens|ARS$ 18.591,93/M output tokens|text+image+file->text

xAI: Grok Latest

This model always redirects to the latest Grok model from xAI.

by ~x-ai|Jul 8, 2026|500K context|ARS$ 6.197,31/M input tokens|ARS$ 18.591,93/M output tokens|text+image+file->text

AionLabs: Aion-3.0-Mini

Aion-3.0 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the DeepSeek family of models. It uses a collaborative generation process in which multiple specialized models each...

by aion-labs|Jul 7, 2026|131.072K context|ARS$ 2.169,06/M input tokens|ARS$ 4.338,12/M output tokens|text->text

AionLabs: Aion-3.0

Aion-3.0 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple specialized models each contribute...

by aion-labs|Jul 7, 2026|131.072K context|ARS$ 9.295,97/M input tokens|ARS$ 18.591,93/M output tokens|text->text

Tencent: Hy3

ZDR

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...

by tencent|Jul 6, 2026|262.144K context|ARS$ 255,64/M input tokens|ARS$ 1.022,56/M output tokens|text->text

Poolside: Laguna XS 2.1

Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026). It combines...

by poolside|Jul 2, 2026|262.144K context|ARS$ 185,92/M input tokens|ARS$ 371,84/M output tokens|text->text

Anthropic: Claude Sonnet 5

ZDR

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...

by anthropic|Jun 30, 2026|1,000K context|ARS$ 6.197,31/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

Anthropic: Claude Sonnet 5 (batch)

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...

by anthropic|Jun 30, 2026|1,000K context|ARS$ 3.098,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

ZDR

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...

by google|Jun 30, 2026|65.536K context|ARS$ 774,66/M input tokens|ARS$ 4.647,98/M output tokens|text+image->text+image

Sakana: Fugu Ultra

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

by sakana|Jun 24, 2026|1,000K context|ARS$ 15.493,28/M input tokens|ARS$ 92.959,65/M output tokens|text+image->text

Google: Nano Banana 2 (Gemini 3.1 Flash Image)

ZDR

Gemini 3.1 Flash Image, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced...

by google|Jun 18, 2026|131.072K context|ARS$ 1.549,33/M input tokens|ARS$ 9.295,97/M output tokens|text+image->text+image

Google: Nano Banana Pro (Gemini 3 Pro Image)

ZDR

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...

by google|Jun 18, 2026|131.072K context|ARS$ 6.197,31/M input tokens|ARS$ 37.183,86/M output tokens|text+image->text+image

Z.ai: GLM 5.2

ZDR

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

by z-ai|Jun 16, 2026|1,048.576K context|ARS$ 185,92/M input tokens|ARS$ 21.690,59/M output tokens|text->text

MoonshotAI: Kimi K2.7 Code

ZDR

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

by moonshotai|Jun 12, 2026|262.144K context|ARS$ 2.079,82/M input tokens|ARS$ 10.380,49/M output tokens|text+image->text

Anthropic: Claude Fable Latest

This model always redirects to the latest model in the Claude Fable family.

by ~anthropic|Jun 9, 2026|1,000K context|ARS$ 30.986,55/M input tokens|ARS$ 154.932,75/M output tokens|text+image+file->text

Anthropic: Claude Fable 5

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...

by anthropic|Jun 9, 2026|1,000K context|ARS$ 30.986,55/M input tokens|ARS$ 154.932,75/M output tokens|text+image+file->text

Anthropic: Claude Fable 5 (batch)

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...

by anthropic|Jun 9, 2026|1,000K context|ARS$ 15.493,28/M input tokens|ARS$ 77.466,38/M output tokens|text+image+file->text

NVIDIA: Nemotron 3.5 Content Safety

ZDR

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...

by nvidia|Jun 4, 2026|131.072K context|ARS$ 619,73/M input tokens|ARS$ 619,73/M output tokens|text+image->text

NVIDIA: Nemotron 3 Ultra

ZDR

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...

by nvidia|Jun 4, 2026|262.144K context|ARS$ 1.859,19/M input tokens|ARS$ 7.436,77/M output tokens|text->text

Qwen: Qwen3.7 Plus

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...

by qwen|Jun 3, 2026|1,000K context|ARS$ 991,57/M input tokens|ARS$ 3.966,28/M output tokens|text+image->text

MiniMax: MiniMax M3

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MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

by minimax|May 31, 2026|1,048.576K context|ARS$ 929,60/M input tokens|ARS$ 3.718,39/M output tokens|text+image+video->text

StepFun: Step 3.7 Flash

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Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...

by stepfun|May 28, 2026|262.144K context|ARS$ 619,73/M input tokens|ARS$ 3.563,45/M output tokens|text+image+video->text

Anthropic: Claude Opus 4.8

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Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

by anthropic|May 27, 2026|1,000K context|ARS$ 15.493,28/M input tokens|ARS$ 77.466,38/M output tokens|text+image+file->text

Anthropic: Claude Opus 4.8 (batch)

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

by anthropic|May 27, 2026|1,000K context|ARS$ 7.746,64/M input tokens|ARS$ 38.733,19/M output tokens|text+image+file->text

Qwen: Qwen3.7 Max

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...

by qwen|May 21, 2026|1,000K context|ARS$ 4.570,52/M input tokens|ARS$ 13.711,55/M output tokens|text->text

SpaceXAI: Grok Build 0.1

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Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...

by x-ai|May 20, 2026|256K context|ARS$ 3.098,66/M input tokens|ARS$ 6.197,31/M output tokens|text+image+file->text

Google: Gemini 3.5 Flash

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Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

by google|May 19, 2026|1,048.576K context|ARS$ 4.647,98/M input tokens|ARS$ 27.887,90/M output tokens|text+image+file+audio+video->text

Google: Gemini 3.5 Flash (batch)

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

by google|May 19, 2026|1,048.576K context|ARS$ 2.323,99/M input tokens|ARS$ 13.943,95/M output tokens|text+image+file+audio+video->text

Perceptron: Perceptron Mk1

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Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...

by perceptron|May 12, 2026|32.768K context|ARS$ 464,80/M input tokens|ARS$ 4.647,98/M output tokens|text+image+video->text

Google: Gemini 3.1 Flash Lite

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Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...

by google|May 7, 2026|1,048.576K context|ARS$ 774,66/M input tokens|ARS$ 4.647,98/M output tokens|text+image+file+audio+video->text

Google: Gemini 3.1 Flash Lite (batch)

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...

by google|May 7, 2026|1,048.576K context|ARS$ 387,33/M input tokens|ARS$ 2.323,99/M output tokens|text+image+file+audio+video->text

OpenAI: GPT Chat Latest

GPT Chat Latest points to OpenAI's stable API alias `chat-latest` that always resolves to the latest Instant chat model used in ChatGPT. As OpenAI rolls out new Instant model updates...

by openai|May 5, 2026|400K context|ARS$ 15.493,28/M input tokens|ARS$ 92.959,65/M output tokens|text+image+file->text

SpaceXAI: Grok 4.3

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Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

by x-ai|Apr 30, 2026|1,000K context|ARS$ 3.873,32/M input tokens|ARS$ 7.746,64/M output tokens|text+image+file->text

SpaceXAI: Grok 4.3 (batch)

Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

by x-ai|Apr 30, 2026|1,000K context|ARS$ 3.098,66/M input tokens|ARS$ 6.197,31/M output tokens|text+image+file->text

Mistral: Mistral Medium 3.5

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Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

by mistralai|Apr 30, 2026|262.144K context|ARS$ 4.647,98/M input tokens|ARS$ 23.239,91/M output tokens|text+image+file->text

Mistral: Mistral Medium 3.5 (batch)

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

by mistralai|Apr 30, 2026|262.144K context|ARS$ 2.323,99/M input tokens|ARS$ 11.619,96/M output tokens|text+image+file->text

Anthropic: Claude Haiku Latest

This model always redirects to the latest model in the Claude Haiku family.

by ~anthropic|Apr 27, 2026|1,000K context|ARS$ 309,87/M input tokens|ARS$ 1.549,33/M output tokens|text+image+file->text

OpenAI: GPT Mini Latest

This model always redirects to the latest model in the GPT Mini family.

by ~openai|Apr 27, 2026|400K context|ARS$ 2.323,99/M input tokens|ARS$ 13.943,95/M output tokens|text+image+file->text

Google: Gemini Pro Latest

This model always redirects to the latest model in the Gemini Pro family.

by ~google|Apr 27, 2026|1,048.576K context|ARS$ 6.197,31/M input tokens|ARS$ 37.183,86/M output tokens|text+image+file+audio+video->text

MoonshotAI: Kimi Latest

This model always redirects to the latest model in the Kimi family.

by ~moonshotai|Apr 27, 2026|1,048.576K context|ARS$ 2.323,99/M input tokens|ARS$ 46.169,96/M output tokens|text+image+video->text

Google: Gemini Flash Latest

This model always redirects to the latest model in the Gemini Flash family.

by ~google|Apr 27, 2026|1,048.576K context|ARS$ 2.323,99/M input tokens|ARS$ 11.619,96/M output tokens|text+image+file+audio+video->text

Anthropic: Claude Sonnet Latest

This model always redirects to the latest model in the Claude Sonnet family.

by ~anthropic|Apr 27, 2026|1,000K context|ARS$ 6.197,31/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

Qwen: Qwen3.5 Plus 2026-04-20

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...

by qwen|Apr 27, 2026|1,000K context|ARS$ 929,60/M input tokens|ARS$ 5.577,58/M output tokens|text+image+video->text

Qwen: Qwen3.6 Flash

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...

by qwen|Apr 27, 2026|1,000K context|ARS$ 581,00/M input tokens|ARS$ 3.485,99/M output tokens|text+image+video->text

Qwen: Qwen3.6 35B A3B

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Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...

by qwen|Apr 27, 2026|262.144K context|ARS$ 309,87/M input tokens|ARS$ 2.943,72/M output tokens|text+image+video->text

Qwen: Qwen3.6 27B

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Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...

by qwen|Apr 27, 2026|262.144K context|ARS$ 991,57/M input tokens|ARS$ 9.915,70/M output tokens|text+image+video->text

OpenAI: GPT-5.5 Pro

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...

by openai|Apr 24, 2026|1,050K context|ARS$ 92.959,65/M input tokens|ARS$ 557.757,90/M output tokens|text+image+file->text

OpenAI: GPT-5.5 Pro (batch)

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...

by openai|Apr 24, 2026|1,050K context|ARS$ 46.479,83/M input tokens|ARS$ 278.878,95/M output tokens|text+image+file->text

OpenAI: GPT-5.5

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GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

by openai|Apr 24, 2026|1,050K context|ARS$ 15.493,28/M input tokens|ARS$ 92.959,65/M output tokens|text+image+file->text

OpenAI: GPT-5.5 (batch)

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

by openai|Apr 24, 2026|1,050K context|ARS$ 7.746,64/M input tokens|ARS$ 46.479,83/M output tokens|text+image+file->text

DeepSeek: DeepSeek V4 Pro 0423

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DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...

by deepseek|Apr 24, 2026|1,048.576K context|ARS$ 647,00/M input tokens|ARS$ 1.294,00/M output tokens|text->text

DeepSeek: DeepSeek V4 Flash 0423

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DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...

by deepseek|Apr 24, 2026|1,048.576K context|ARS$ 92,96/M input tokens|ARS$ 3.966,28/M output tokens|text->text

Tencent: Hy3 preview

Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to...

by tencent|Apr 22, 2026|262.144K context|ARS$ 557,76/M input tokens|ARS$ 1.859,19/M output tokens|text->text

Xiaomi: MiMo-V2.5-Pro

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MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....

by xiaomi|Apr 22, 2026|1,050K context|ARS$ 1.347,91/M input tokens|ARS$ 2.695,83/M output tokens|text->text

Xiaomi: MiMo-V2.5

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MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...

by xiaomi|Apr 22, 2026|1,050K context|ARS$ 433,81/M input tokens|ARS$ 867,62/M output tokens|text+image+audio+video->text

OpenAI: GPT-5.4 Image 2

[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and...

by openai|Apr 21, 2026|272K context|ARS$ 24.789,24/M input tokens|ARS$ 46.479,83/M output tokens|text+image+file->text+image

Anthropic: Claude Opus Latest

This model always redirects to the latest model in the Claude Opus family.

by ~anthropic|Apr 21, 2026|1,000K context|ARS$ 12.394,62/M input tokens|ARS$ 61.973,10/M output tokens|text+image+file->text

MoonshotAI: Kimi K2.6

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Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...

by moonshotai|Apr 20, 2026|262.144K context|ARS$ 2.014,13/M input tokens|ARS$ 10.566,41/M output tokens|text+image->text

Anthropic: Claude Opus 4.7

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Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

by anthropic|Apr 16, 2026|1,000K context|ARS$ 15.493,28/M input tokens|ARS$ 77.466,38/M output tokens|text+image+file->text

Anthropic: Claude Opus 4.7 (batch)

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

by anthropic|Apr 16, 2026|1,000K context|ARS$ 7.746,64/M input tokens|ARS$ 38.733,19/M output tokens|text+image+file->text

Z.ai: GLM 5.1

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GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...

by z-ai|Apr 7, 2026|204.8K context|ARS$ 2.993,30/M input tokens|ARS$ 9.407,52/M output tokens|text->text

Google: Gemma 4 26B A4B

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Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

by google|Apr 3, 2026|262.144K context|ARS$ 209,16/M input tokens|ARS$ 697,20/M output tokens|text+image+video->text

Google: Gemma 4 31B

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Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

by google|Apr 2, 2026|262.144K context|ARS$ 278,88/M input tokens|ARS$ 1.053,54/M output tokens|text+image+video->text

Qwen: Qwen3.6 Plus

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...

by qwen|Apr 2, 2026|1,000K context|ARS$ 1.007,06/M input tokens|ARS$ 6.042,38/M output tokens|text+image+video->text

Z.ai: GLM 5V Turbo

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GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...

by z-ai|Apr 1, 2026|202.752K context|ARS$ 3.718,39/M input tokens|ARS$ 12.394,62/M output tokens|text+image+video->text

Arcee AI: Trinity Large Thinking

Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...

by arcee-ai|Apr 1, 2026|262.144K context|ARS$ 774,66/M input tokens|ARS$ 2.478,92/M output tokens|text->text

SpaceXAI: Grok 4.20 Multi-Agent

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Grok 4.20 Multi-Agent is a variant of SpaceXAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...

by x-ai|Mar 31, 2026|2,000K context|ARS$ 3.873,32/M input tokens|ARS$ 7.746,64/M output tokens|text+image+file->text

SpaceXAI: Grok 4.20

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Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

by x-ai|Mar 31, 2026|2,000K context|ARS$ 3.873,32/M input tokens|ARS$ 7.746,64/M output tokens|text+image+file->text

Reka Edge

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Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading performance in image understanding,...

by rekaai|Mar 20, 2026|16.384K context|ARS$ 309,87/M input tokens|ARS$ 309,87/M output tokens|text+image+video->text

MiniMax: MiniMax M2.7

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MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

by minimax|Mar 18, 2026|204.8K context|ARS$ 650,72/M input tokens|ARS$ 2.602,87/M output tokens|text->text

OpenAI: GPT-5.4 Nano

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GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...

by openai|Mar 17, 2026|400K context|ARS$ 619,73/M input tokens|ARS$ 3.873,32/M output tokens|text+image+file->text

OpenAI: GPT-5.4 Nano (batch)

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...

by openai|Mar 17, 2026|400K context|ARS$ 309,87/M input tokens|ARS$ 1.936,66/M output tokens|text+image+file->text

OpenAI: GPT-5.4 Mini

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GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...

by openai|Mar 17, 2026|400K context|ARS$ 2.323,99/M input tokens|ARS$ 13.943,95/M output tokens|text+image+file->text

OpenAI: GPT-5.4 Mini (batch)

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...

by openai|Mar 17, 2026|400K context|ARS$ 1.162,00/M input tokens|ARS$ 6.971,97/M output tokens|text+image+file->text

Mistral: Mistral Small 4

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Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...

by mistralai|Mar 16, 2026|262.144K context|ARS$ 464,80/M input tokens|ARS$ 1.859,19/M output tokens|text+image->text

Mistral: Mistral Small 4 (batch)

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...

by mistralai|Mar 16, 2026|262.144K context|ARS$ 232,40/M input tokens|ARS$ 929,60/M output tokens|text+image->text

Z.ai: GLM 5 Turbo

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GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows...

by z-ai|Mar 15, 2026|202.752K context|ARS$ 3.718,39/M input tokens|ARS$ 12.394,62/M output tokens|text->text

NVIDIA: Nemotron 3 Super

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NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...

by nvidia|Mar 11, 2026|262.144K context|ARS$ 247,89/M input tokens|ARS$ 1.394,39/M output tokens|text->text

ByteDance Seed: Seed-2.0-Lite

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Seed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency, making it a practical default choice for most production workloads across...

by bytedance-seed|Mar 10, 2026|262.144K context|ARS$ 774,66/M input tokens|ARS$ 6.197,31/M output tokens|text+image+video->text

Qwen: Qwen3.5-9B

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Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

by qwen|Mar 10, 2026|262.144K context|ARS$ 309,87/M input tokens|ARS$ 464,80/M output tokens|text+image+video->text

OpenAI: GPT-5.4 Pro

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GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...

by openai|Mar 5, 2026|1,050K context|ARS$ 92.959,65/M input tokens|ARS$ 557.757,90/M output tokens|text+image+file->text

OpenAI: GPT-5.4 Pro (batch)

GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...

by openai|Mar 5, 2026|1,050K context|ARS$ 46.479,83/M input tokens|ARS$ 278.878,95/M output tokens|text+image+file->text

OpenAI: GPT-5.4

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GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...

by openai|Mar 5, 2026|1,050K context|ARS$ 7.746,64/M input tokens|ARS$ 46.479,83/M output tokens|text+image+file->text

OpenAI: GPT-5.4 (batch)

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...

by openai|Mar 5, 2026|1,050K context|ARS$ 3.873,32/M input tokens|ARS$ 23.239,91/M output tokens|text+image+file->text

Inception: Mercury 2

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Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...

by inception|Mar 4, 2026|128K context|ARS$ 774,66/M input tokens|ARS$ 2.323,99/M output tokens|text->text

Google: Gemini 3.1 Flash Lite Preview

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across...

by google|Mar 3, 2026|1,048.576K context|ARS$ 774,66/M input tokens|ARS$ 4.647,98/M output tokens|text+image+file+audio+video->text

ByteDance Seed: Seed-2.0-Mini

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Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...

by bytedance-seed|Feb 26, 2026|262.144K context|ARS$ 309,87/M input tokens|ARS$ 1.239,46/M output tokens|text+image+video->text

Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines...

by google|Feb 26, 2026|65.536K context|ARS$ 1.549,33/M input tokens|ARS$ 9.295,97/M output tokens|text+image->text+image

Qwen: Qwen3.5-35B-A3B

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The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

by qwen|Feb 25, 2026|262.144K context|ARS$ 247,89/M input tokens|ARS$ 2.323,99/M output tokens|text+image+video->text

Qwen: Qwen3.5-27B

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The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...

by qwen|Feb 25, 2026|262.144K context|ARS$ 805,65/M input tokens|ARS$ 8.056,50/M output tokens|text+image+video->text

Qwen: Qwen3.5-122B-A10B

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The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

by qwen|Feb 25, 2026|262.144K context|ARS$ 805,65/M input tokens|ARS$ 6.445,20/M output tokens|text+image+video->text

Qwen: Qwen3.5-Flash

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...

by qwen|Feb 25, 2026|1,000K context|ARS$ 201,41/M input tokens|ARS$ 805,65/M output tokens|text+image+video->text

Google: Gemini 3.1 Pro Preview Custom Tools

Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-party...

by google|Feb 25, 2026|1,048.576K context|ARS$ 6.197,31/M input tokens|ARS$ 37.183,86/M output tokens|text+image+file+audio+video->text

OpenAI: GPT-5.3-Codex

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GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...

by openai|Feb 24, 2026|400K context|ARS$ 5.422,65/M input tokens|ARS$ 43.381,17/M output tokens|text+image+file->text

AionLabs: Aion-2.0

Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and conflict into stories, making narratives feel more engaging....

by aion-labs|Feb 23, 2026|131.072K context|ARS$ 2.478,92/M input tokens|ARS$ 4.957,85/M output tokens|text->text

Google: Gemini 3.1 Pro Preview

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Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

by google|Feb 19, 2026|1,048.576K context|ARS$ 6.197,31/M input tokens|ARS$ 37.183,86/M output tokens|text+image+file+audio+video->text

Google: Gemini 3.1 Pro Preview (batch)

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

by google|Feb 19, 2026|1,048.576K context|ARS$ 3.098,66/M input tokens|ARS$ 18.591,93/M output tokens|text+image+file+audio+video->text

Anthropic: Claude Sonnet 4.6

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Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...

by anthropic|Feb 17, 2026|1,000K context|ARS$ 9.295,97/M input tokens|ARS$ 46.479,83/M output tokens|text+image+file->text

Anthropic: Claude Sonnet 4.6 (batch)

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...

by anthropic|Feb 17, 2026|1,000K context|ARS$ 4.647,98/M input tokens|ARS$ 23.239,91/M output tokens|text+image+file->text

Qwen: Qwen3.5 Plus 2026-02-15

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...

by qwen|Feb 16, 2026|1,000K context|ARS$ 805,65/M input tokens|ARS$ 4.833,90/M output tokens|text+image+video->text

Qwen: Qwen3.5 397B A17B

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The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

by qwen|Feb 16, 2026|262.144K context|ARS$ 1.704,26/M input tokens|ARS$ 10.845,29/M output tokens|text+image+video->text

MiniMax: MiniMax M2.5

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MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...

by minimax|Feb 12, 2026|204.8K context|ARS$ 836,64/M input tokens|ARS$ 3.346,55/M output tokens|text->text

Z.ai: GLM 5

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GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...

by z-ai|Feb 11, 2026|204.8K context|ARS$ 1.859,19/M input tokens|ARS$ 5.949,42/M output tokens|text->text

Anthropic: Claude Opus 4.6

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Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

by anthropic|Feb 4, 2026|1,000K context|ARS$ 15.493,28/M input tokens|ARS$ 77.466,38/M output tokens|text+image+file->text

Anthropic: Claude Opus 4.6 (batch)

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

by anthropic|Feb 4, 2026|1,000K context|ARS$ 7.746,64/M input tokens|ARS$ 38.733,19/M output tokens|text+image+file->text

Qwen: Qwen3 Coder Next

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Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

by qwen|Feb 4, 2026|262.144K context|ARS$ 371,84/M input tokens|ARS$ 2.478,92/M output tokens|text->text

StepFun: Step 3.5 Flash

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Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....

by stepfun|Jan 29, 2026|262.144K context|ARS$ 309,87/M input tokens|ARS$ 929,60/M output tokens|text->text

MoonshotAI: Kimi K2.5

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Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...

by moonshotai|Jan 27, 2026|262.144K context|ARS$ 1.549,33/M input tokens|ARS$ 7.746,64/M output tokens|text+image->text

Upstage: Solar Pro 3

Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized...

by upstage|Jan 27, 2026|131.072K context|ARS$ 464,80/M input tokens|ARS$ 1.859,19/M output tokens|text->text

MiniMax: MiniMax M2-her

MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...

by minimax|Jan 23, 2026|65.536K context|ARS$ 929,60/M input tokens|ARS$ 3.718,39/M output tokens|text->text

Writer: Palmyra X5

ZDR

Palmyra X5 is Writer's most advanced model, purpose-built for building and scaling AI agents across the enterprise. It delivers industry-leading speed and efficiency on context windows up to 1 million...

by writer|Jan 21, 2026|1,040K context|ARS$ 1.859,19/M input tokens|ARS$ 18.591,93/M output tokens|text->text

OpenAI: GPT Audio

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...

by openai|Jan 19, 2026|128K context|ARS$ 7.746,64/M input tokens|ARS$ 30.986,55/M output tokens|text+audio->text+audio

OpenAI: GPT Audio Mini

A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...

by openai|Jan 19, 2026|128K context|ARS$ 1.859,19/M input tokens|ARS$ 7.436,77/M output tokens|text+audio->text+audio

Z.ai: GLM 4.7 Flash

ZDR

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

by z-ai|Jan 19, 2026|200K context|ARS$ 187,47/M input tokens|ARS$ 1.239,46/M output tokens|text->text

OpenAI: GPT-5.2-Codex

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GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....

by openai|Jan 14, 2026|400K context|ARS$ 5.422,65/M input tokens|ARS$ 43.381,17/M output tokens|text+image->text

ByteDance Seed: Seed 1.6 Flash

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Seed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual understanding. It features a 256k context window and can generate outputs of...

by bytedance-seed|Dec 23, 2025|262.144K context|ARS$ 232,40/M input tokens|ARS$ 929,60/M output tokens|text+image+video->text

ByteDance Seed: Seed 1.6

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Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.

by bytedance-seed|Dec 23, 2025|262.144K context|ARS$ 774,66/M input tokens|ARS$ 6.197,31/M output tokens|text+image+video->text

MiniMax: MiniMax M2.1

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MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...

by minimax|Dec 23, 2025|204.8K context|ARS$ 929,60/M input tokens|ARS$ 3.718,39/M output tokens|text->text

Z.ai: GLM 4.7

ZDR

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...

by z-ai|Dec 22, 2025|204.8K context|ARS$ 1.859,19/M input tokens|ARS$ 6.817,04/M output tokens|text->text

Google: Gemini 3 Flash Preview

ZDR

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...

by google|Dec 17, 2025|1,048.576K context|ARS$ 1.549,33/M input tokens|ARS$ 9.295,97/M output tokens|text+image+file+audio+video->text

Google: Gemini 3 Flash Preview (batch)

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...

by google|Dec 17, 2025|1,048.576K context|ARS$ 774,66/M input tokens|ARS$ 4.647,98/M output tokens|text+image+file+audio+video->text

NVIDIA: Nemotron 3 Nano 30B A3B

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NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...

by nvidia|Dec 14, 2025|262.144K context|ARS$ 185,92/M input tokens|ARS$ 743,68/M output tokens|text->text

OpenAI: GPT-5.2 Chat

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GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...

by openai|Dec 10, 2025|128K context|ARS$ 5.422,65/M input tokens|ARS$ 43.381,17/M output tokens|text+image+file->text

OpenAI: GPT-5.2 Pro

GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...

by openai|Dec 10, 2025|400K context|ARS$ 65.071,76/M input tokens|ARS$ 520.574,04/M output tokens|text+image+file->text

OpenAI: GPT-5.2 Pro (batch)

GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...

by openai|Dec 10, 2025|400K context|ARS$ 32.535,88/M input tokens|ARS$ 260.287,02/M output tokens|text+image+file->text

OpenAI: GPT-5.2

ZDR

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...

by openai|Dec 10, 2025|400K context|ARS$ 5.422,65/M input tokens|ARS$ 43.381,17/M output tokens|text+image+file->text

OpenAI: GPT-5.2 (batch)

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...

by openai|Dec 10, 2025|400K context|ARS$ 2.711,32/M input tokens|ARS$ 21.690,59/M output tokens|text+image+file->text

Mistral: Devstral 2 2512

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Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...

by mistralai|Dec 9, 2025|262.144K context|ARS$ 1.239,46/M input tokens|ARS$ 6.197,31/M output tokens|text+file->text

Relace: Relace Search

ZDR

The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic...

by relace|Dec 8, 2025|256K context|ARS$ 3.098,66/M input tokens|ARS$ 9.295,97/M output tokens|text->text

Z.ai: GLM 4.6V

ZDR

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...

by z-ai|Dec 8, 2025|131.072K context|ARS$ 929,60/M input tokens|ARS$ 2.788,79/M output tokens|text+image+video->text

OpenAI: GPT-5.1-Codex-Max

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GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...

by openai|Dec 4, 2025|400K context|ARS$ 3.873,32/M input tokens|ARS$ 30.986,55/M output tokens|text+image->text

Amazon: Nova 2 Lite

ZDR

Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing...

by amazon|Dec 2, 2025|1,000K context|ARS$ 929,60/M input tokens|ARS$ 7.746,64/M output tokens|text+image+file+video->text

Mistral: Ministral 3 14B 2512

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The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...

by mistralai|Dec 2, 2025|262.144K context|ARS$ 619,73/M input tokens|ARS$ 619,73/M output tokens|text+image->text

Mistral: Ministral 3 8B 2512

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A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

by mistralai|Dec 2, 2025|262.144K context|ARS$ 464,80/M input tokens|ARS$ 464,80/M output tokens|text+image->text

Mistral: Ministral 3 8B 2512 (batch)

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

by mistralai|Dec 2, 2025|262.144K context|ARS$ 232,40/M input tokens|ARS$ 232,40/M output tokens|text+image->text

Mistral: Ministral 3 3B 2512

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The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

by mistralai|Dec 2, 2025|131.072K context|ARS$ 309,87/M input tokens|ARS$ 309,87/M output tokens|text+image->text

Mistral: Mistral Large 3 2512

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Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

by mistralai|Dec 1, 2025|262.144K context|ARS$ 1.549,33/M input tokens|ARS$ 4.647,98/M output tokens|text+image+file->text

Mistral: Mistral Large 3 2512 (batch)

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

by mistralai|Dec 1, 2025|262.144K context|ARS$ 774,66/M input tokens|ARS$ 2.323,99/M output tokens|text+image+file->text

DeepSeek: DeepSeek V3.2

ZDR

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

by deepseek|Dec 1, 2025|163.84K context|ARS$ 802,55/M input tokens|ARS$ 2.478,92/M output tokens|text->text

Anthropic: Claude Opus 4.5

ZDR

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

by anthropic|Nov 24, 2025|200K context|ARS$ 15.493,28/M input tokens|ARS$ 77.466,38/M output tokens|text+image+file->text

Anthropic: Claude Opus 4.5 (batch)

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...

by anthropic|Nov 24, 2025|200K context|ARS$ 7.746,64/M input tokens|ARS$ 38.733,19/M output tokens|text+image+file->text

Google: Nano Banana Pro (Gemini 3 Pro Image Preview)

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...

by google|Nov 20, 2025|65.536K context|ARS$ 6.197,31/M input tokens|ARS$ 37.183,86/M output tokens|text+image->text+image

OpenAI: GPT-5.1

ZDR

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...

by openai|Nov 13, 2025|400K context|ARS$ 3.873,32/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

OpenAI: GPT-5.1 (batch)

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...

by openai|Nov 13, 2025|400K context|ARS$ 1.936,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

OpenAI: GPT-5.1-Codex

ZDR

GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....

by openai|Nov 13, 2025|400K context|ARS$ 3.873,32/M input tokens|ARS$ 30.986,55/M output tokens|text+image->text

OpenAI: GPT-5.1-Codex-Mini

ZDR

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex

by openai|Nov 13, 2025|400K context|ARS$ 774,66/M input tokens|ARS$ 6.197,31/M output tokens|text+image->text

MoonshotAI: Kimi K2 Thinking

ZDR

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...

by moonshotai|Nov 6, 2025|262.144K context|ARS$ 1.859,19/M input tokens|ARS$ 7.746,64/M output tokens|text->text

Amazon: Nova Premier 1.0

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Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.

by amazon|Oct 31, 2025|1,000K context|ARS$ 7.746,64/M input tokens|ARS$ 38.733,19/M output tokens|text+image->text

Perplexity: Sonar Pro Search

ZDR

Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based...

by perplexity|Oct 30, 2025|200K context|ARS$ 9.295,97/M input tokens|ARS$ 46.479,83/M output tokens|text+image->text

Mistral: Voxtral Small 24B 2507

ZDR

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...

by mistralai|Oct 30, 2025|32.768K context|ARS$ 309,87/M input tokens|ARS$ 929,60/M output tokens|text+file+audio->text

OpenAI: gpt-oss-safeguard-20b

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gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...

by openai|Oct 29, 2025|131.072K context|ARS$ 232,40/M input tokens|ARS$ 929,60/M output tokens|text->text

MiniMax: MiniMax M2

ZDR

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...

by minimax|Oct 23, 2025|204.8K context|ARS$ 929,60/M input tokens|ARS$ 3.718,39/M output tokens|text->text

IBM: Granite 4.0 Micro

Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...

by ibm-granite|Oct 20, 2025|131K context|ARS$ 52,68/M input tokens|ARS$ 347,05/M output tokens|text->text

OpenAI: GPT-5 Image Mini

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...

by openai|Oct 16, 2025|400K context|ARS$ 7.746,64/M input tokens|ARS$ 6.197,31/M output tokens|text+image+file->text+image

Anthropic: Claude Haiku 4.5

ZDR

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

by anthropic|Oct 15, 2025|200K context|ARS$ 3.098,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

Anthropic: Claude Haiku 4.5 (batch)

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

by anthropic|Oct 15, 2025|200K context|ARS$ 1.549,33/M input tokens|ARS$ 7.746,64/M output tokens|text+image+file->text

Qwen: Qwen3 VL 8B Instruct

ZDR

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...

by qwen|Oct 14, 2025|262.144K context|ARS$ 774,66/M input tokens|ARS$ 2.323,99/M output tokens|text+image->text

OpenAI: GPT-5 Image

[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,...

by openai|Oct 14, 2025|400K context|ARS$ 30.986,55/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text+image

Google: Nano Banana (Gemini 2.5 Flash Image)

ZDR

Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...

by google|Oct 7, 2025|32.768K context|ARS$ 929,60/M input tokens|ARS$ 7.746,64/M output tokens|text+image->text+image

Qwen: Qwen3 VL 30B A3B Thinking

ZDR

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...

by qwen|Oct 6, 2025|262.144K context|ARS$ 898,61/M input tokens|ARS$ 3.098,66/M output tokens|text+image->text

Qwen: Qwen3 VL 30B A3B Instruct

ZDR

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...

by qwen|Oct 6, 2025|262.144K context|ARS$ 464,80/M input tokens|ARS$ 1.859,19/M output tokens|text+image->text

OpenAI: GPT-5 Pro

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...

by openai|Oct 6, 2025|400K context|ARS$ 46.479,83/M input tokens|ARS$ 371.838,60/M output tokens|text+image+file->text

OpenAI: GPT-5 Pro (batch)

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...

by openai|Oct 6, 2025|400K context|ARS$ 23.239,91/M input tokens|ARS$ 185.919,30/M output tokens|text+image+file->text

Z.ai: GLM 4.6

ZDR

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...

by z-ai|Sep 30, 2025|204.8K context|ARS$ 1.549,33/M input tokens|ARS$ 6.197,31/M output tokens|text->text

Anthropic: Claude Sonnet 4.5

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Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

by anthropic|Sep 29, 2025|1,000K context|ARS$ 9.295,97/M input tokens|ARS$ 46.479,83/M output tokens|text+image+file->text

Anthropic: Claude Sonnet 4.5 (batch)

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

by anthropic|Sep 29, 2025|1,000K context|ARS$ 4.647,98/M input tokens|ARS$ 23.239,91/M output tokens|text+image+file->text

DeepSeek: DeepSeek V3.2 Exp

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DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

by deepseek|Sep 29, 2025|163.84K context|ARS$ 836,64/M input tokens|ARS$ 1.270,45/M output tokens|text->text

TheDrummer: Cydonia 24B V4.1

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Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.

by thedrummer|Sep 27, 2025|131.072K context|ARS$ 929,60/M input tokens|ARS$ 1.549,33/M output tokens|text->text

Relace: Relace Apply 3

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Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at...

by relace|Sep 26, 2025|256K context|ARS$ 2.633,86/M input tokens|ARS$ 3.873,32/M output tokens|text->text

Qwen: Qwen3 VL 235B A22B Instruct

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Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...

by qwen|Sep 23, 2025|262.144K context|ARS$ 650,72/M input tokens|ARS$ 5.887,44/M output tokens|text+image->text

DeepSeek: DeepSeek V3.1 Terminus

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DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...

by deepseek|Sep 22, 2025|163.84K context|ARS$ 836,64/M input tokens|ARS$ 3.098,66/M output tokens|text->text

Qwen: Qwen3 Coder Flash

Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling...

by qwen|Sep 17, 2025|1,000K context|ARS$ 604,24/M input tokens|ARS$ 3.021,19/M output tokens|text->text

Qwen: Qwen3 Next 80B A3B Thinking

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Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...

by qwen|Sep 11, 2025|262.144K context|ARS$ 464,80/M input tokens|ARS$ 3.718,39/M output tokens|text->text

Qwen: Qwen3 Next 80B A3B Instruct

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Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...

by qwen|Sep 11, 2025|262.144K context|ARS$ 309,87/M input tokens|ARS$ 3.408,52/M output tokens|text->text

MoonshotAI: Kimi K2 0905

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Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...

by moonshotai|Sep 4, 2025|262.144K context|ARS$ 1.859,19/M input tokens|ARS$ 7.746,64/M output tokens|text->text

Nous: Hermes 4 405B

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Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with...

by nousresearch|Aug 26, 2025|131.072K context|ARS$ 3.098,66/M input tokens|ARS$ 9.295,97/M output tokens|text->text

DeepSeek: DeepSeek V3.1

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DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

by deepseek|Aug 21, 2025|163.84K context|ARS$ 774,66/M input tokens|ARS$ 2.943,72/M output tokens|text->text

Mistral: Mistral Medium 3.1

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Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

by mistralai|Aug 13, 2025|131.072K context|ARS$ 1.239,46/M input tokens|ARS$ 6.197,31/M output tokens|text+image+file->text

Mistral: Mistral Medium 3.1 (batch)

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

by mistralai|Aug 13, 2025|131.072K context|ARS$ 619,73/M input tokens|ARS$ 3.098,66/M output tokens|text+image+file->text

Z.ai: GLM 4.5V

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GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...

by z-ai|Aug 11, 2025|65.536K context|ARS$ 1.859,19/M input tokens|ARS$ 5.577,58/M output tokens|text+image->text

OpenAI: GPT-5

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GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

by openai|Aug 7, 2025|400K context|ARS$ 3.873,32/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

OpenAI: GPT-5 (batch)

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

by openai|Aug 7, 2025|400K context|ARS$ 1.936,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

OpenAI: GPT-5 Mini

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GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

by openai|Aug 7, 2025|400K context|ARS$ 774,66/M input tokens|ARS$ 6.197,31/M output tokens|text+image+file->text

OpenAI: GPT-5 Mini (batch)

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

by openai|Aug 7, 2025|400K context|ARS$ 387,33/M input tokens|ARS$ 3.098,66/M output tokens|text+image+file->text

OpenAI: GPT-5 Nano

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GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

by openai|Aug 7, 2025|400K context|ARS$ 154,93/M input tokens|ARS$ 1.239,46/M output tokens|text+image+file->text

OpenAI: GPT-5 Nano (batch)

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

by openai|Aug 7, 2025|400K context|ARS$ 77,47/M input tokens|ARS$ 619,73/M output tokens|text+image+file->text

OpenAI: gpt-oss-120b

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gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

by openai|Aug 5, 2025|131.072K context|ARS$ 114,65/M input tokens|ARS$ 526,77/M output tokens|text->text

OpenAI: gpt-oss-120b (batch)

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

by openai|Aug 5, 2025|131.072K context|ARS$ 91,72/M input tokens|ARS$ 421,42/M output tokens|text->text

OpenAI: gpt-oss-20b

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gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

by openai|Aug 5, 2025|131.072K context|ARS$ 55,78/M input tokens|ARS$ 278,88/M output tokens|text->text

OpenAI: gpt-oss-20b (batch)

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

by openai|Aug 5, 2025|131.072K context|ARS$ 74,37/M input tokens|ARS$ 347,05/M output tokens|text->text

Anthropic: Claude Opus 4.1

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Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...

by anthropic|Aug 5, 2025|200K context|ARS$ 46.479,83/M input tokens|ARS$ 232.399,13/M output tokens|text+image+file->text

Anthropic: Claude Opus 4.1 (batch)

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...

by anthropic|Aug 5, 2025|200K context|ARS$ 23.239,91/M input tokens|ARS$ 116.199,56/M output tokens|text+image+file->text

Mistral: Codestral 2508

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Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)

by mistralai|Aug 1, 2025|256K context|ARS$ 929,60/M input tokens|ARS$ 2.788,79/M output tokens|text+file->text

Mistral: Codestral 2508 (batch)

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)

by mistralai|Aug 1, 2025|256K context|ARS$ 464,80/M input tokens|ARS$ 1.394,39/M output tokens|text+file->text

Qwen: Qwen3 Coder 30B A3B Instruct

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Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...

by qwen|Jul 31, 2025|262.144K context|ARS$ 216,91/M input tokens|ARS$ 867,62/M output tokens|text->text

Qwen: Qwen3 30B A3B Instruct 2507

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Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...

by qwen|Jul 29, 2025|262.144K context|ARS$ 309,87/M input tokens|ARS$ 929,60/M output tokens|text->text

Z.ai: GLM 4.5

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GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...

by z-ai|Jul 25, 2025|131.072K context|ARS$ 1.859,19/M input tokens|ARS$ 6.817,04/M output tokens|text->text

Z.ai: GLM 4.5 Air

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GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...

by z-ai|Jul 25, 2025|131.072K context|ARS$ 402,83/M input tokens|ARS$ 2.633,86/M output tokens|text->text

Qwen: Qwen3 235B A22B Thinking 2507

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Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...

by qwen|Jul 25, 2025|128K context|ARS$ 1.394,39/M input tokens|ARS$ 10.845,29/M output tokens|text->text

Qwen: Qwen3 Coder 480B A35B

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Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...

by qwen|Jul 23, 2025|262.144K context|ARS$ 929,60/M input tokens|ARS$ 3.098,66/M output tokens|text->text

ByteDance: UI-TARS 7B

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UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...

by bytedance|Jul 22, 2025|128K context|ARS$ 309,87/M input tokens|ARS$ 619,73/M output tokens|text+image->text

Google: Gemini 2.5 Flash Lite

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Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...

by google|Jul 22, 2025|1,048.576K context|ARS$ 309,87/M input tokens|ARS$ 1.239,46/M output tokens|text+image+file+audio+video->text

Google: Gemini 2.5 Flash Lite (batch)

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...

by google|Jul 22, 2025|1,048.576K context|ARS$ 154,93/M input tokens|ARS$ 619,73/M output tokens|text+image+file+audio+video->text

Qwen: Qwen3 235B A22B Instruct 2507

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Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...

by qwen|Jul 21, 2025|262.144K context|ARS$ 278,88/M input tokens|ARS$ 1.704,26/M output tokens|text->text

MoonshotAI: Kimi K2 0711

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Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...

by moonshotai|Jul 11, 2025|131.072K context|ARS$ 1.766,23/M input tokens|ARS$ 7.126,91/M output tokens|text->text

Venice: Uncensored

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Venice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Venice.ai. This model is designed as an “uncensored” instruct-tuned LLM, preserving...

by cognitivecomputations|Jul 9, 2025|128K context|ARS$ 619,73/M input tokens|ARS$ 2.788,79/M output tokens|text->text

Tencent: Hunyuan A13B Instruct

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Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...

by tencent|Jul 8, 2025|131.072K context|ARS$ 433,81/M input tokens|ARS$ 1.766,23/M output tokens|text->text

Morph: Morph V3 Large

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Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code>...

by morph|Jul 7, 2025|262.144K context|ARS$ 2.788,79/M input tokens|ARS$ 5.887,44/M output tokens|text->text

Morph: Morph V3 Fast

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Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update>...

by morph|Jul 7, 2025|81.92K context|ARS$ 2.478,92/M input tokens|ARS$ 3.718,39/M output tokens|text->text

Mistral: Mistral Small 3.2 24B

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Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...

by mistralai|Jun 20, 2025|256K context|ARS$ 290,50/M input tokens|ARS$ 774,66/M output tokens|text+image->text

MiniMax: MiniMax M1

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MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

by minimax|Jun 17, 2025|1,000K context|ARS$ 1.704,26/M input tokens|ARS$ 6.817,04/M output tokens|text->text

Google: Gemini 2.5 Flash

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Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

by google|Jun 17, 2025|1,048.576K context|ARS$ 929,60/M input tokens|ARS$ 7.746,64/M output tokens|text+image+file+audio+video->text

Google: Gemini 2.5 Flash (batch)

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

by google|Jun 17, 2025|1,048.576K context|ARS$ 464,80/M input tokens|ARS$ 3.873,32/M output tokens|text+image+file+audio+video->text

Google: Gemini 2.5 Pro

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Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

by google|Jun 17, 2025|1,048.576K context|ARS$ 3.873,32/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file+audio+video->text

Google: Gemini 2.5 Pro (batch)

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

by google|Jun 17, 2025|1,048.576K context|ARS$ 1.936,66/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file+audio+video->text

OpenAI: o3 Pro

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...

by openai|Jun 10, 2025|200K context|ARS$ 61.973,10/M input tokens|ARS$ 247.892,40/M output tokens|text+image+file->text

Google: Gemini 2.5 Pro Preview 06-05

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Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

by google|Jun 5, 2025|1,048.576K context|ARS$ 3.873,32/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file+audio->text

DeepSeek: R1 0528

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May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...

by deepseek|May 28, 2025|163.84K context|ARS$ 1.549,33/M input tokens|ARS$ 6.662,11/M output tokens|text->text

Anthropic: Claude Sonnet 4

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Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...

by anthropic|May 22, 2025|200K context|ARS$ 9.295,97/M input tokens|ARS$ 46.479,83/M output tokens|text+image+file->text

Mistral: Mistral Medium 3

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Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost...

by mistralai|May 7, 2025|131.072K context|ARS$ 1.239,46/M input tokens|ARS$ 6.197,31/M output tokens|text+image+file->text

Meta: Llama Guard 4 12B

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Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...

by meta-llama|Apr 30, 2025|163.84K context|ARS$ 557,76/M input tokens|ARS$ 557,76/M output tokens|text+image->text

Qwen: Qwen3 30B A3B

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Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...

by qwen|Apr 28, 2025|40.96K context|ARS$ 371,84/M input tokens|ARS$ 1.549,33/M output tokens|text->text

Qwen: Qwen3 14B

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Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

by qwen|Apr 28, 2025|40.96K context|ARS$ 371,84/M input tokens|ARS$ 743,68/M output tokens|text->text

Qwen: Qwen3 32B

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Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

by qwen|Apr 28, 2025|131.072K context|ARS$ 247,89/M input tokens|ARS$ 867,62/M output tokens|text->text

OpenAI: o4 Mini High

OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...

by openai|Apr 16, 2025|200K context|ARS$ 3.408,52/M input tokens|ARS$ 13.634,08/M output tokens|text+image+file->text

OpenAI: o3

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

by openai|Apr 16, 2025|200K context|ARS$ 6.197,31/M input tokens|ARS$ 24.789,24/M output tokens|text+image+file->text

OpenAI: o3 (batch)

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

by openai|Apr 16, 2025|200K context|ARS$ 3.098,66/M input tokens|ARS$ 12.394,62/M output tokens|text+image+file->text

OpenAI: o4 Mini

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...

by openai|Apr 16, 2025|200K context|ARS$ 3.408,52/M input tokens|ARS$ 13.634,08/M output tokens|text+image+file->text

OpenAI: o4 Mini (batch)

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...

by openai|Apr 16, 2025|200K context|ARS$ 1.704,26/M input tokens|ARS$ 6.817,04/M output tokens|text+image+file->text

OpenAI: GPT-4.1

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GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

by openai|Apr 14, 2025|1,047.576K context|ARS$ 6.197,31/M input tokens|ARS$ 24.789,24/M output tokens|text+image+file->text

OpenAI: GPT-4.1 (batch)

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

by openai|Apr 14, 2025|1,047.576K context|ARS$ 3.098,66/M input tokens|ARS$ 12.394,62/M output tokens|text+image+file->text

OpenAI: GPT-4.1 Mini

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GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

by openai|Apr 14, 2025|1,047.576K context|ARS$ 1.239,46/M input tokens|ARS$ 4.957,85/M output tokens|text+image+file->text

OpenAI: GPT-4.1 Mini (batch)

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

by openai|Apr 14, 2025|1,047.576K context|ARS$ 619,73/M input tokens|ARS$ 2.478,92/M output tokens|text+image+file->text

OpenAI: GPT-4.1 Nano

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For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

by openai|Apr 14, 2025|1,047.576K context|ARS$ 309,87/M input tokens|ARS$ 1.239,46/M output tokens|text+image+file->text

OpenAI: GPT-4.1 Nano (batch)

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

by openai|Apr 14, 2025|1,047.576K context|ARS$ 154,93/M input tokens|ARS$ 619,73/M output tokens|text+image+file->text

Meta: Llama 4 Maverick

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Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

by meta-llama|Apr 5, 2025|1,048.576K context|ARS$ 581,00/M input tokens|ARS$ 2.021,87/M output tokens|text+image->text

Meta: Llama 4 Scout

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Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

by meta-llama|Apr 5, 2025|1,310.72K context|ARS$ 309,87/M input tokens|ARS$ 929,60/M output tokens|text+image->text

DeepSeek: DeepSeek V3 0324

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DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...

by deepseek|Mar 24, 2025|163.84K context|ARS$ 898,61/M input tokens|ARS$ 3.532,47/M output tokens|text->text

OpenAI: o1-pro

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...

by openai|Mar 19, 2025|200K context|ARS$ 464.798,25/M input tokens|ARS$ 1.859.193,00/M output tokens|text+image+file->text

Mistral: Mistral Small 3.1 24B

Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...

by mistralai|Mar 17, 2025|128K context|ARS$ 1.087,63/M input tokens|ARS$ 1.719,75/M output tokens|text+image->text

Google: Gemma 3 4B

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Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

by google|Mar 13, 2025|131.072K context|ARS$ 154,93/M input tokens|ARS$ 309,87/M output tokens|text+image->text

Google: Gemma 3 12B

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Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

by google|Mar 13, 2025|131.072K context|ARS$ 154,93/M input tokens|ARS$ 464,80/M output tokens|text+image->text

Cohere: Command A

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...

by cohere|Mar 13, 2025|256K context|ARS$ 7.746,64/M input tokens|ARS$ 30.986,55/M output tokens|text->text

Reka Flash 3

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Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a...

by rekaai|Mar 12, 2025|65.536K context|ARS$ 309,87/M input tokens|ARS$ 619,73/M output tokens|text->text

Google: Gemma 3 27B

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Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

by google|Mar 12, 2025|131.072K context|ARS$ 247,89/M input tokens|ARS$ 1.394,39/M output tokens|text+image->text

TheDrummer: Skyfall 36B V2

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Skyfall 36B v2 is an enhanced iteration of Mistral Small 2501, specifically fine-tuned for improved creativity, nuanced writing, role-playing, and coherent storytelling.

by thedrummer|Mar 10, 2025|32.768K context|ARS$ 1.704,26/M input tokens|ARS$ 2.478,92/M output tokens|text->text

Perplexity: Sonar Reasoning Pro

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Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for...

by perplexity|Mar 7, 2025|128K context|ARS$ 6.197,31/M input tokens|ARS$ 24.789,24/M output tokens|text+image->text

Perplexity: Sonar Pro

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Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like...

by perplexity|Mar 7, 2025|200K context|ARS$ 9.295,97/M input tokens|ARS$ 46.479,83/M output tokens|text+image->text

Perplexity: Sonar Deep Research

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Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...

by perplexity|Mar 7, 2025|128K context|ARS$ 6.197,31/M input tokens|ARS$ 24.789,24/M output tokens|text->text

Mistral: Saba

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Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...

by mistralai|Feb 17, 2025|32.768K context|ARS$ 619,73/M input tokens|ARS$ 1.859,19/M output tokens|text+file->text

OpenAI: o3 Mini High

OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...

by openai|Feb 12, 2025|200K context|ARS$ 3.408,52/M input tokens|ARS$ 13.634,08/M output tokens|text+file->text

AionLabs: Aion-RP 1.0 (8B)

Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. It is a fine-tuned base model...

by aion-labs|Feb 4, 2025|32.768K context|ARS$ 2.478,92/M input tokens|ARS$ 4.957,85/M output tokens|text->text

Qwen: Qwen2.5 VL 72B Instruct

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Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

by qwen|Feb 1, 2025|128K context|ARS$ 2.478,92/M input tokens|ARS$ 3.098,66/M output tokens|text+image->text

Qwen: Qwen-Plus

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

by qwen|Feb 1, 2025|1,000K context|ARS$ 805,65/M input tokens|ARS$ 2.416,95/M output tokens|text->text

OpenAI: o3 Mini

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...

by openai|Jan 31, 2025|200K context|ARS$ 3.408,52/M input tokens|ARS$ 13.634,08/M output tokens|text+file->text

OpenAI: o3 Mini (batch)

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...

by openai|Jan 31, 2025|200K context|ARS$ 1.704,26/M input tokens|ARS$ 6.817,04/M output tokens|text+file->text

Mistral: Mistral Small 3

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Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...

by mistralai|Jan 30, 2025|32.768K context|ARS$ 154,93/M input tokens|ARS$ 247,89/M output tokens|text->text

Perplexity: Sonar

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Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...

by perplexity|Jan 27, 2025|127.072K context|ARS$ 3.098,66/M input tokens|ARS$ 3.098,66/M output tokens|text+image->text

DeepSeek: R1

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DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

by deepseek|Jan 20, 2025|64K context|ARS$ 2.169,06/M input tokens|ARS$ 7.746,64/M output tokens|text->text

MiniMax: MiniMax-01

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

by minimax|Jan 15, 2025|1,000.192K context|ARS$ 619,73/M input tokens|ARS$ 3.408,52/M output tokens|text+image->text

Microsoft: Phi 4

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[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...

by microsoft|Jan 10, 2025|16.384K context|ARS$ 216,91/M input tokens|ARS$ 433,81/M output tokens|text->text

DeepSeek: DeepSeek V3

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DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...

by deepseek|Dec 26, 2024|163.84K context|ARS$ 991,57/M input tokens|ARS$ 2.757,80/M output tokens|text->text

Sao10K: Llama 3.3 Euryale 70B

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Euryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/models/sao10k/l3-euryale-70b).

by sao10k|Dec 18, 2024|131.072K context|ARS$ 2.014,13/M input tokens|ARS$ 2.323,99/M output tokens|text->text

OpenAI: o1

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

by openai|Dec 17, 2024|200K context|ARS$ 46.479,83/M input tokens|ARS$ 185.919,30/M output tokens|text+image+file->text

Cohere: Command R7B (12-2024)

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...

by cohere|Dec 14, 2024|128K context|ARS$ 116,20/M input tokens|ARS$ 464,80/M output tokens|text->text

Meta: Llama 3.3 70B Instruct

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The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

by meta-llama|Dec 6, 2024|131.072K context|ARS$ 681,70/M input tokens|ARS$ 1.549,33/M output tokens|text->text

Amazon: Nova Lite 1.0

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Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...

by amazon|Dec 5, 2024|300K context|ARS$ 185,92/M input tokens|ARS$ 743,68/M output tokens|text+image->text

Amazon: Nova Micro 1.0

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Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...

by amazon|Dec 5, 2024|128K context|ARS$ 108,45/M input tokens|ARS$ 433,81/M output tokens|text->text

Amazon: Nova Pro 1.0

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Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December...

by amazon|Dec 5, 2024|300K context|ARS$ 2.478,92/M input tokens|ARS$ 9.915,70/M output tokens|text+image->text

OpenAI: GPT-4o (2024-11-20)

The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...

by openai|Nov 20, 2024|128K context|ARS$ 7.746,64/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

Mistral Large 2407

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This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....

by mistralai|Nov 19, 2024|131.072K context|ARS$ 6.197,31/M input tokens|ARS$ 18.591,93/M output tokens|text+file->text

Qwen2.5 Coder 32B Instruct

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Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

by qwen|Nov 11, 2024|32.768K context|ARS$ 2.045,11/M input tokens|ARS$ 3.098,66/M output tokens|text->text

TheDrummer: UnslopNemo 12B

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UnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.

by thedrummer|Nov 8, 2024|1,024K context|ARS$ 1.239,46/M input tokens|ARS$ 1.239,46/M output tokens|text->text

Magnum v4 72B

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This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).

by anthracite-org|Oct 22, 2024|32.768K context|ARS$ 7.746,64/M input tokens|ARS$ 15.493,28/M output tokens|text->text

Qwen: Qwen2.5 7B Instruct

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Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

by qwen|Oct 16, 2024|32.768K context|ARS$ 309,87/M input tokens|ARS$ 619,73/M output tokens|text->text

Meta: Llama 3.2 1B Instruct

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Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...

by meta-llama|Sep 25, 2024|60K context|ARS$ 83,66/M input tokens|ARS$ 622,83/M output tokens|text->text

Meta: Llama 3.2 3B Instruct

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Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...

by meta-llama|Sep 25, 2024|131.072K context|ARS$ 154,93/M input tokens|ARS$ 1.022,56/M output tokens|text->text

Qwen2.5 72B Instruct

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Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

by qwen|Sep 19, 2024|32.768K context|ARS$ 1.115,52/M input tokens|ARS$ 1.239,46/M output tokens|text->text

Cohere: Command R (08-2024)

command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...

by cohere|Aug 30, 2024|128K context|ARS$ 464,80/M input tokens|ARS$ 1.859,19/M output tokens|text->text

Cohere: Command R+ (08-2024)

command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...

by cohere|Aug 30, 2024|128K context|ARS$ 7.746,64/M input tokens|ARS$ 30.986,55/M output tokens|text->text

Sao10K: Llama 3.1 Euryale 70B v2.2

T ZDR

Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).

by sao10k|Aug 28, 2024|131.072K context|ARS$ 2.633,86/M input tokens|ARS$ 2.633,86/M output tokens|text->text

Nous: Hermes 3 70B Instruct

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Hermes 3 is a generalist language model with many improvements over [Hermes 2](/models/nousresearch/nous-hermes-2-mistral-7b-dpo), including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...

by nousresearch|Aug 18, 2024|131.072K context|ARS$ 2.169,06/M input tokens|ARS$ 2.169,06/M output tokens|text->text

Nous: Hermes 3 405B Instruct

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Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...

by nousresearch|Aug 16, 2024|131.072K context|ARS$ 3.098,66/M input tokens|ARS$ 3.098,66/M output tokens|text->text

Sao10K: Llama 3 8B Lunaris

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Lunaris 8B is a versatile generalist and roleplaying model based on Llama 3. It's a strategic merge of multiple models, designed to balance creativity with improved logic and general knowledge....

by sao10k|Aug 13, 2024|8.192K context|ARS$ 123,95/M input tokens|ARS$ 154,93/M output tokens|text->text

OpenAI: GPT-4o (2024-08-06)

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The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...

by openai|Aug 6, 2024|128K context|ARS$ 7.746,64/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

Meta: Llama 3.1 70B Instruct

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Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

by meta-llama|Jul 23, 2024|131.072K context|ARS$ 1.239,46/M input tokens|ARS$ 1.239,46/M output tokens|text->text

Meta: Llama 3.1 8B Instruct

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Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

by meta-llama|Jul 23, 2024|131.072K context|ARS$ 154,93/M input tokens|ARS$ 247,89/M output tokens|text->text

Mistral: Mistral Nemo

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A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...

by mistralai|Jul 19, 2024|131.072K context|ARS$ 89,86/M input tokens|ARS$ 92,96/M output tokens|text->text

OpenAI: GPT-4o-mini

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GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

by openai|Jul 18, 2024|128K context|ARS$ 464,80/M input tokens|ARS$ 1.859,19/M output tokens|text+image+file->text

OpenAI: GPT-4o-mini (2024-07-18)

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

by openai|Jul 18, 2024|128K context|ARS$ 464,80/M input tokens|ARS$ 1.859,19/M output tokens|text+image+file->text

OpenAI: GPT-4o-mini (batch)

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

by openai|Jul 18, 2024|128K context|ARS$ 232,40/M input tokens|ARS$ 929,60/M output tokens|text+image+file->text

Google: Gemma 2 27B

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Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...

by google|Jul 13, 2024|8.192K context|ARS$ 2.014,13/M input tokens|ARS$ 2.014,13/M output tokens|text->text

OpenAI: GPT-4o

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GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

by openai|May 13, 2024|128K context|ARS$ 7.746,64/M input tokens|ARS$ 30.986,55/M output tokens|text+image+file->text

OpenAI: GPT-4o (2024-05-13)

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GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

by openai|May 13, 2024|128K context|ARS$ 15.493,28/M input tokens|ARS$ 46.479,83/M output tokens|text+image+file->text

OpenAI: GPT-4o (batch)

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

by openai|May 13, 2024|128K context|ARS$ 3.873,32/M input tokens|ARS$ 15.493,28/M output tokens|text+image+file->text

Mistral: Mixtral 8x22B Instruct

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Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...

by mistralai|Apr 17, 2024|65.536K context|ARS$ 6.197,31/M input tokens|ARS$ 18.591,93/M output tokens|text+file->text

WizardLM-2 8x22B

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WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models. It is...

by microsoft|Apr 16, 2024|65.535K context|ARS$ 1.921,17/M input tokens|ARS$ 1.921,17/M output tokens|text->text

OpenAI: GPT-4 Turbo

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

by openai|Apr 9, 2024|128K context|ARS$ 30.986,55/M input tokens|ARS$ 92.959,65/M output tokens|text+image->text

OpenAI: GPT-4 Turbo (batch)

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

by openai|Apr 9, 2024|128K context|ARS$ 15.493,28/M input tokens|ARS$ 46.479,83/M output tokens|text+image->text

Mistral Large

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This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....

by mistralai|Feb 26, 2024|128K context|ARS$ 6.197,31/M input tokens|ARS$ 18.591,93/M output tokens|text+file->text

OpenAI: GPT-3.5 Turbo (older v0613)

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GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

by openai|Jan 25, 2024|4.095K context|ARS$ 3.098,66/M input tokens|ARS$ 6.197,31/M output tokens|text->text

OpenAI: GPT-3.5 Turbo Instruct

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This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.

by openai|Sep 28, 2023|4.095K context|ARS$ 4.647,98/M input tokens|ARS$ 6.197,31/M output tokens|text->text

OpenAI: GPT-3.5 Turbo 16k

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This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...

by openai|Aug 28, 2023|16.385K context|ARS$ 9.295,97/M input tokens|ARS$ 12.394,62/M output tokens|text->text

Mancer: Weaver (alpha)

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An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.

by mancer|Aug 2, 2023|8K context|ARS$ 1.239,46/M input tokens|ARS$ 2.323,99/M output tokens|text->text

ReMM SLERP 13B

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A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge

by undi95|Jul 22, 2023|6.144K context|ARS$ 1.084,53/M input tokens|ARS$ 2.014,13/M output tokens|text->text

MythoMax 13B

T ZDR

One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge

by gryphe|Jul 2, 2023|8.192K context|ARS$ 247,89/M input tokens|ARS$ 340,85/M output tokens|text->text

OpenAI: GPT-3.5 Turbo

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

by openai|May 28, 2023|16.385K context|ARS$ 1.549,33/M input tokens|ARS$ 4.647,98/M output tokens|text->text

OpenAI: GPT-3.5 Turbo (batch)

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.

by openai|May 28, 2023|16.385K context|ARS$ 774,66/M input tokens|ARS$ 2.323,99/M output tokens|text->text

OpenAI: GPT-4

ZDR

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...

by openai|May 28, 2023|8.191K context|ARS$ 92.959,65/M input tokens|ARS$ 185.919,30/M output tokens|text->text