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...
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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...
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...
No provider description is available for this model yet.
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 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.
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...
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.
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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,...
No provider description is available for this model yet.
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Sakana: Fugu Maxsakana/fugu-max | Sakana |
1M | $2 | $6 | — | ||
| OpenAI: GPT-5 (batch)openai/gpt-5:batch | OpenAI |
400K | $0.625 | $5 | — | ||
| 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 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 | — | ||
| 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 | — | |||
| 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 | — | |||
| MiniMax: MiniMax M1minimax/minimax-m1 | MiniMax |
1M | $0.55 | $2.2 | — | ||
| 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 | — | |||
| deepseek/deepseek-v4-flash-vision-expnovita/deepseek/deepseek-v4-flash-vision-exp | 1.04858M | $0.44 | $1.32 | — | |||
| deepseek/deepseek-v4-flash-0731novita/deepseek/deepseek-v4-flash-0731 | 1.04858M | $0.44 | $1.32 | — | |||
| mindai/macaron-v1-ventinovita/mindai/macaron-v1-venti | 1.04858M | $1.5 | $4.5 | — | |||
| minimax/minimax-m3novita/minimax/minimax-m3 | 1M | $0.3 | $1.2 | — | |||
| deepseek/deepseek-v4-flashnovita/deepseek/deepseek-v4-flash | 1.04858M | $0.14 | $0.28 | — | |||
| deepseek/deepseek-v4-pronovita/deepseek/deepseek-v4-pro | 1.04858M | $1.6 | $3.2 | — | |||
| Thinking Machines: Inkling (batch)thinkingmachines/inkling:batch | Thinkingmachines |
524.288K | $1 | $4.05 | — | ||
| inclusionai/ling-3.0-flash-fastnovita/inclusionai/ling-3.0-flash-fast | 262.144K | $0.06 | $0.18 | — | |||
| qwen/qwen3.8-maxnovita/qwen/qwen3.8-max | 1M | $2 | $6 | — | |||
| inclusionai/ling-3.0-flashnovita/inclusionai/ling-3.0-flash | 262.144K | $0.06 | $0.18 | — | |||
| mindai/macaron-v1-tallnovita/mindai/macaron-v1-tall | 262.144K | $0.45 | $2.6 | — | |||
| stepfun/step-3.7-flashnovita/stepfun/step-3.7-flash | 262.144K | $0.2 | $1.15 | — | |||
| nvidia/nemotron-3-nano-30b-a3bnovita/nvidia/nemotron-3-nano-30b-a3b | 262.144K | $0.05 | $0.2 | — | |||
| baidu/cobuddynovita/baidu/cobuddy | 131.072K | $0.28 | $1.13 | — | |||
| xiaomimimo/mimo-v2.5novita/xiaomimimo/mimo-v2.5 | 1.04858M | $0.168 | $0.336 | — | |||
| qwen/qwen3.7-maxnovita/qwen/qwen3.7-max | 1M | $1.25 | $3.75 | — | |||
| xiaomimimo/mimo-v2.5-pronovita/xiaomimimo/mimo-v2.5-pro | 1.04858M | $0.522 | $1.044 | — | |||
| qwen/qwen3.6-27bnovita/qwen/qwen3.6-27b | 262.144K | $0.6 | $3.6 | — | |||
| moonshotai/kimi-k2.6novita/moonshotai/kimi-k2.6 | 262.144K | $0.8 | $3.4 | — |