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Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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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...
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...
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...
Ministral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length...
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...
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...
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...
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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...
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...
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...
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...
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
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.
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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...
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| claude-3-7-sonnetsnowflake/claude-3-7-sonnet | 200K | $3 | $15 | — | |||
| openai-gpt-4.1snowflake/openai-gpt-4.1 | 300K | $2 | $8 | — | |||
| openai-gpt-5snowflake/openai-gpt-5 | 300K | $1.25 | $10 | — | |||
| openai-gpt-5-minisnowflake/openai-gpt-5-mini | 1M | $0.3 | $1.2 | — | |||
| openai-gpt-5-nanosnowflake/openai-gpt-5-nano | 5M | $0.15 | $0.6 | — | |||
| llama4-mavericksnowflake/llama4-maverick | 128K | $0.24 | $0.97 | — | |||
| Qwen/Qwen3.5-397B-A17B-FP8tensormesh/qwen/qwen3.5-397b-a17b-fp8 | 262.144K | $0.6 | $3.6 | — | |||
| Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8tensormesh/qwen/qwen3-coder-480b-a35b-instruct-fp8 | 262.144K | $0.45 | $1.8 | — | |||
| Qwen/Qwen3.6-27B-FP8tensormesh/qwen/qwen3.6-27b-fp8 | 262.144K | $0.32 | $3.2 | — | |||
| lukealonso/GLM-5.1-NVFP4-MTPtensormesh/lukealonso/glm-5.1-nvfp4-mtp | 202.752K | $1.4 | $4.4 | — | |||
| MiniMaxAI/MiniMax-M2.5tensormesh/minimaxai/minimax-m2.5 | 196.608K | $0.3 | $1.2 | — | |||
| openai/gpt-oss-120btensormesh/openai/gpt-oss-120b | 131.072K | $0.15 | $0.6 | — | |||
| openai/gpt-oss-20btensormesh/openai/gpt-oss-20b | 131.072K | $0.07 | $0.28 | — | |||
| deepseek-v4-protencent/deepseek-v4-pro | Tencent |
1M | $0.435 | $0.87 | — | ||
| deepseek-v4-flashtencent/deepseek-v4-flash | Tencent |
1M | $0.14 | $0.28 | — | ||
| ps/glm-4.5-airpinstripes/ps/glm-4.5-air | 128K | $0.125 | $0.45 | — | |||
| ps/qwen3.6-35b-a3bpinstripes/ps/qwen3.6-35b-a3b | 131.072K | $0.14 | $0.45 | — | |||
| ps/qwen3-30b-a3bpinstripes/ps/qwen3-30b-a3b | 131.072K | $0.09 | $0.2 | — | |||
| ps/qwen3-coder-30b-a3bpinstripes/ps/qwen3-coder-30b-a3b | 131.072K | $0.3 | $0.6 | — | |||
| ps/deepseek-v4-flashpinstripes/ps/deepseek-v4-flash | 163.84K | $0.1 | $0.2 | — | |||
| ps/minimax-m2.7pinstripes/ps/minimax-m2.7 | 1.00019M | $0.255 | $0.55 | — | |||
| gemma-4-26bdarkbloom/gemma-4-26b | 131.072K | $0.03 | $0.165 | — | |||
| gpt-oss-20bdarkbloom/gpt-oss-20b | 131.072K | $0.015 | $0.07 | — | |||
| Inception: Mercury 2inception/mercury-2 | Inception |
128K | $0.25 | $0.75 | — | ||
| Z.ai: GLM 4.6z-ai/glm-4.6 | Z Ai |
198K | $0.43 | $1.75 | — | ||
| Mistral: Mistral Medium 3mistralai/mistral-medium-3 | Mistral AI |
131.072K | $0.4 | $2 | — | ||
| Mistral: Ministral 8Bmistralai/ministral-8b | Mistral AI |
128K | $0.11 | $0.11 | — | ||
| Sakana: Fugu Maxsakana/fugu-max | Sakana |
1M | $2 | $6 | — | ||
| Qwen: Qwen3 Next 80B A3B Thinkingqwen/qwen3-next-80b-a3b-thinking | Alibaba Qwen |
262.144K | $0.15 | $1.2 | — | ||
| Anthropic: Claude Opus 4.6 (batch)anthropic/claude-opus-4.6:batch | Anthropic |
1M | $2.5 | $12.5 | — | ||
| openai/gpt-5.6-solopenrouter/openai/gpt-5.6-sol | Openrouter |
1.05M | $2 | $10 | — | ||
| Anthropic: Claude Opus 4.1 (batch)anthropic/claude-opus-4.1:batch | Anthropic |
200K | $7.5 | $37.5 | — | ||
| Z.ai: GLM 4.5 Airz-ai/glm-4.5-air | Z Ai |
131.072K | $0.13 | $0.85 | — | ||
| OpenAI: o4 Mini Highopenai/o4-mini-high | OpenAI |
200K | $1.1 | $4.4 | — | ||
| OpenAI: GPT-5 Pro (batch)openai/gpt-5-pro:batch | OpenAI |
400K | $7.5 | $60 | — | ||
| OpenAI: GPT-5.6 Terra Pro (batch)openai/gpt-5.6-terra-pro:batch | OpenAI |
1.05M | $1 | $6 | — | ||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | Mistral AI |
262.144K | $0.5 | $1.5 | — | ||
| databricks-glm-5-2databricks/databricks-glm-5-2 | Databricks |
1M | $1.4 | $4.4 | — | ||
| databricks-kimi-k3databricks/databricks-kimi-k3 | Databricks |
1M | $3 | $15 | — | ||
| accounts/fireworks/models/deepseek-v4-pro-0813fireworks_ai/accounts/fireworks/models/deepseek-v4-pro-0813 | Fireworks_Ai |
1.04858M | $1.32 | $3.96 | — | ||
| ministral-14b-2512mistral/ministral-14b-2512 | Mistral |
262.144K | $0.2 | $0.2 | — | ||
| ministral-14b-latestmistral/ministral-14b-latest | Mistral |
262.144K | $0.2 | $0.2 | — | ||
| ministral-3b-2512mistral/ministral-3b-2512 | Mistral |
131.072K | $0.1 | $0.1 | — | ||
| ministral-3b-latestmistral/ministral-3b-latest | Mistral |
131.072K | $0.1 | $0.1 | — | ||
| mistral-medium-3mistral/mistral-medium-3 | Mistral |
262.144K | $1.5 | $7.5 | — | ||
| zai-org/GLM-5.3-Flashtogether_ai/zai-org/glm-5.3-flash | 1.04858M | $0.15 | $0.5 | — | |||
| MiniMax: MiniMax M1minimax/minimax-m1 | MiniMax |
1M | $0.55 | $2.2 | — | ||
| glm-5.3zai/glm-5.3 | Zai |
1M | $1.4 | $4.4 | — | ||
| minimax-m3tencent/minimax-m3 | Tencent |
1M | $0.3 | $1.2 | — | ||
| zai-org/glm-5.3novita/zai-org/glm-5.3 | 1.04858M | $1.4 | $4.4 | — |