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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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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.
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...
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
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. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
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...
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...
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...
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...
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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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,...
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...
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...
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,...
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...
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)
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...
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...
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.
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.
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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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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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.
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.
No provider description is available for this model yet.
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| 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 | — | |||
| Z.ai: GLM 5.3 Flash (batch)z-ai/glm-5.3-flash:batch | Z Ai |
1.04858M | $0.075 | $0.25 | — | ||
| LiquidAI: LFM2.5-2.6B (free)liquid/lfm-2.5-2.6b:free | 65.536K | Free | Free | — | |||
| OpenAI: GPT-5.6 Luna Pro (batch)openai/gpt-5.6-luna-pro:batch | OpenAI |
1.05M | $0.1 | $0.6 | — | ||
| OpenAI: GPT-5.6 Luna (batch)openai/gpt-5.6-luna:batch | OpenAI |
1.05M | $0.1 | $0.6 | — | ||
| Mistral: Ministral 8Bmistralai/ministral-8b | Mistral AI |
128K | $0.11 | $0.11 | — | ||
| Anthropic: Claude Opus 4.5 (batch)anthropic/claude-opus-4.5:batch | Anthropic |
200K | $2.5 | $12.5 | — | ||
| Sakana: Fugu Maxsakana/fugu-max | Sakana |
1M | $2 | $6 | — | ||
| 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 | — | ||
| Z.ai: GLM 4.5Vz-ai/glm-4.5v | Z Ai |
65.536K | $0.6 | $1.8 | — | ||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | Mistral AI |
131.072K | $0.2 | $1 | — | ||
| OpenAI: GPT-4o-mini (batch)openai/gpt-4o-mini:batch | OpenAI |
128K | $0.075 | $0.3 | — | ||
| IBM: Granite 4.2 8Bibm-granite/granite-4.2-8b | IBM |
131.072K | $0.06 | $0.25 | — | ||
| OpenAI: GPT-5 (batch)openai/gpt-5:batch | OpenAI |
400K | $0.625 | $5 | — | ||
| Mistral: Codestral 2508 (batch)mistralai/codestral-2508:batch | Mistral AI |
256K | $0.15 | $0.45 | — | ||
| MoonshotAI: Kimi K2 0711moonshotai/kimi-k2 | Moonshot AI |
131.072K | $0.57 | $2.3 | — | ||
| OpenAI: GPT-5 Pro (batch)openai/gpt-5-pro:batch | OpenAI |
400K | $7.5 | $60 | — | ||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | Mistral AI |
262.144K | $0.5 | $1.5 | — | ||
| OpenAI: GPT-5.6 Terra Pro (batch)openai/gpt-5.6-terra-pro:batch | OpenAI |
1.05M | $1 | $6 | — | ||
| 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 | — | ||
| voxtral-small-2507mistral/voxtral-small-2507 | Mistral |
32.768K | $0.1 | $0.4 | — | ||
| 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 | — | |||
| deepseek/deepseek-v4-pro-0813novita/deepseek/deepseek-v4-pro-0813 | 1.04858M | $1.32 | $3.96 | — | |||
| moonshotai/kimi-k3novita/moonshotai/kimi-k3 | 1.04858M | $3 | $15 | — | |||
| tencent/hy3novita/tencent/hy3 | 262.144K | $0.14 | $0.58 | — | |||
| zai-org/glm-5.2novita/zai-org/glm-5.2 | 1.04858M | $1.4 | $4.4 | — | |||
| OpenAI: GPT-4 Turbo (batch)openai/gpt-4-turbo:batch | OpenAI |
128K | $5 | $15 | — | ||
| moonshotai/kimi-k2.7-codenovita/moonshotai/kimi-k2.7-code | 262.144K | $0.95 | $4 | — |