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Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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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)
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No provider description is available for this model yet.
No provider description is available for this model yet.
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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...
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No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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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,...
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No provider description is available for this model yet.
No provider description is available for this model yet.
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. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
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No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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%),...
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No provider description is available for this model yet.
Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It...
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No provider description is available for this model yet.
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...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| anthropic.claude-fable-5bedrock_converse/anthropic.claude-fable-5 | 1M | $10 | $50 | — | |||
| Qwen3.8-Maxscx-ai/qwen3.8-max | 1M | $1.65 | $4.99 | — | |||
| Qwen/Qwen3.5-122B-A10Bdeepinfra/qwen/qwen3.5-122b-a10b | 262.144K | $0.29 | $2.4 | — | |||
| us-gov-west-1/amazon.titan-text-express-v1bedrock/us-gov-west-1/amazon.titan-text-express-v1 | 42K | $1.3 | $1.7 | — | |||
| google/gemma-4-12B-itgoogle/gemma-4-12B-it | Not documented | — | — | — | |||
| together-ai-8.1b-21btogether_ai/together-ai-8.1b-21b | 1K | $0.3 | $0.3 | — | |||
| google/gemma-4-31B-it-turbodeepinfra/google/gemma-4-31b-it-turbo | 262.144K | $0.09 | $0.34 | — | |||
| Mistral: Codestral 2508 (batch)mistralai/codestral-2508:batch | 256K | $0.15 | $0.45 | — | |||
| nemotron-3-ultra-nvfp4fireworks_ai/nemotron-3-ultra-nvfp4 | 262.144K | $0.6 | $2.4 | — | |||
| together-ai-81.1b-110btogether_ai/together-ai-81.1b-110b | Not documented | $1.8 | $1.8 | — | |||
| google/gemini-3.1-pro-preview-customtoolsopenrouter/google/gemini-3.1-pro-preview-customtools | 1.04858M | $2 | $12 | — | |||
| Qwen/Qwen2.5-72B-Instruct-Turbotogether_ai/qwen/qwen2.5-72b-instruct-turbo | Not documented | — | — | — | |||
| Qwen: Qwen3 Coder 480B A35B (free)qwen/qwen3-coder:free | 262K | Free | Free | — | |||
| nvidia/Cosmos3-Super-Text2Image-4Stepnvidia/Cosmos3-Super-Text2Image-4Step | Not documented | — | — | — | |||
| us-gov-east-1/nvidia.nemotron-nano-9b-v2bedrock/us-gov-east-1/nvidia.nemotron-nano-9b-v2 | 128K | $0.072 | $0.276 | — | |||
| deepseek-ai/ESFT-gate-intent-litedeepseek-ai/ESFT-gate-intent-lite | Not documented | — | — | — | |||
| FW-Nemotron-3-Ultra-NVFP4azure_ai/fw-nemotron-3-ultra-nvfp4 | 262.144K | $0.6 | $2.4 | — | |||
| google/gemini-3.1-flash-image-previewopenrouter/google/gemini-3.1-flash-image-preview | 65.536K | $0.5 | $3 | — | |||
| qwen3-next-80b-a3b-thinkingqwen_ai_platform/qwen3-next-80b-a3b-thinking | 262.144K | $0.15 | $1.2 | — | |||
| @cf/nvidia/nemotron-3-120b-a12bcloudflare/@cf/nvidia/nemotron-3-120b-a12b | 256K | $0.5 | $1.5 | — | |||
| us.openai.gpt-5.6-terrabedrock_converse/us.openai.gpt-5.6-terra | 1M | $2.2 | $13.2 | — | |||
| deepseek-v4-flashdashscope/deepseek-v4-flash | 1M | $0.2 | $0.4 | — | |||
| deepseek-v4-flash-0731dashscope/deepseek-v4-flash-0731 | 1M | $0.2 | $0.4 | — | |||
| global.openai.gpt-5.6-terrabedrock_converse/global.openai.gpt-5.6-terra | 1M | $2 | $12 | — | |||
| Qwen: Qwen3.8 Max (0902)qwen/qwen3.8-max-0902 | 1M | $2 | $6 | — | |||
| google/gemma-4-31B-it-assistantgoogle/gemma-4-31B-it-assistant | Not documented | — | — | — | |||
| FW-MiniMax-M3azure_ai/fw-minimax-m3 | 512K | $0.33 | $1.32 | — | |||
| deepseek-v4-prodashscope/deepseek-v4-pro | 1M | $2.4 | $4.8 | — | |||
| OpenAI: GPT-5.6 Terra Pro (batch)openai/gpt-5.6-terra-pro:batch | 1.05M | $1 | $6 | — | |||
| glm-5.1dashscope/glm-5.1 | 202.745K | $1.4 | $4.4 | — | |||
| FW-MiniMax-M2.5azure_ai/fw-minimax-m2.5 | 1M | $0.33 | $1.32 | — | |||
| global.openai.gpt-5.6-lunabedrock_converse/global.openai.gpt-5.6-luna | 1M | $0.2 | $1.2 | — | |||
| global.anthropic.claude-fable-5bedrock_converse/global.anthropic.claude-fable-5 | 1M | $10 | $50 | — | |||
| @cf/aisingapore/gemma-sea-lion-v4-27b-itcloudflare/@cf/aisingapore/gemma-sea-lion-v4-27b-it | 128K | $0.351 | $0.555 | — | |||
| openai/gpt-5.4-proopenrouter/openai/gpt-5.4-pro | 1.05M | $30 | $180 | — | |||
| eu.anthropic.claude-fable-5bedrock_converse/eu.anthropic.claude-fable-5 | 1M | $11 | $55 | — | |||
| anthropic.claude-opus-5bedrock_converse/anthropic.claude-opus-5 | 1M | $5 | $25 | — | |||
| global.anthropic.claude-opus-5bedrock_converse/global.anthropic.claude-opus-5 | 1M | $5 | $25 | — | |||
| FW-Kimi-K3azure_ai/fw-kimi-k3 | 1.04858M | $3.3 | $16.5 | — | |||
| glm-5.2dashscope/glm-5.2 | 1.04858M | $1.4 | $4.4 | — | |||
| us-gov-west-1/anthropic.claude-fable-5-1bedrock/us-gov-west-1/anthropic.claude-fable-5-1 | 1M | $12 | $60 | — | |||
| us-gov-west-1/anthropic.claude-3-5-sonnet-20240620-v1:0bedrock/us-gov-west-1/anthropic.claude-3-5-sonnet-20240620-v1:0 | 200K | $3.6 | $18 | — | |||
| qwen/qwen3.5-9bopenrouter/qwen/qwen3.5-9b | 262.144K | $0.1 | $0.15 | — | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 200K | $3 | $15 | — | |||
| qwen3.8-maxdashscope/qwen3.8-max | 991.808K | $2 | $6 | — | |||
| nvidia/NVIDIA-Nemotron-3.5-Lightningdeepinfra/nvidia/nvidia-nemotron-3.5-lightning | 262.144K | $0.05 | $0.2 | — | |||
| Qwen: Qwen3 Maxqwen/qwen3-max | 262.144K | $0.78 | $3.9 | — | |||
| upstage/Solar-Open2-250Bupstage/Solar-Open2-250B | Not documented | — | — | — | |||
| gemini-3.7-flashgemini/gemini-3.7-flash | 1.04858M | $0.75 | $3.75 | — | |||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | 131.072K | $0.2 | $1 | — |