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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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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...
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
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.
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,...
Grok 4.6 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.
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...
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...
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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,...
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...
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...
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...
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...
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...
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.
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No provider description is available for this model yet.
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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...
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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...
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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...
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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. 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.
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| claude-sonnet-4-6snowflake/claude-sonnet-4-6 | 200K | $3 | $15 | — | |||
| claude-4-opussnowflake/claude-4-opus | 200K | $5 | $25 | — | |||
| claude-haiku-4-5snowflake/claude-haiku-4-5 | 200K | $1 | $5 | — | |||
| 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 | — | |||
| Google: Gemini 3.1 Flash Lite (batch)google/gemini-3.1-flash-lite:batch | 1.04858M | $0.125 | $0.75 | — | |||
| OpenAI: GPT-5.6 Luna Pro (batch)openai/gpt-5.6-luna-pro:batch | 1.05M | $0.1 | $0.6 | — | |||
| Google: Gemini 3.8 Flash (batch)google/gemini-3.8-flash:batch | 1.04858M | $0.375 | $1.875 | — | |||
| MiniMax: MiniMax M3minimax/minimax-m3 | 524.288K | $0.3 | $1.2 | — | |||
| SpaceXAI: Grok 4.6x-ai/grok-4.6 | 500K | $2 | $6 | — | |||
| SpaceXAI: Grok 4.3 (batch)x-ai/grok-4.3:batch | 1M | $1 | $2 | — | |||
| Sakana: Fugu Maxsakana/fugu-max | 1M | $2 | $6 | — | |||
| openai/gpt-5.6-solopenrouter/openai/gpt-5.6-sol | 1.05M | $2 | $10 | — | |||
| Z.ai: GLM 4.5Vz-ai/glm-4.5v | 65.536K | $0.6 | $1.8 | — | |||
| Anthropic: Claude Opus 4.6 (batch)anthropic/claude-opus-4.6:batch | 1M | $2.5 | $12.5 | — | |||
| OpenAI: GPT-4o-mini (batch)openai/gpt-4o-mini:batch | 128K | $0.075 | $0.3 | — | |||
| Anthropic: Claude Fable 5 (batch)anthropic/claude-fable-5:batch | 1M | $5 | $25 | — | |||
| OpenAI: GPT-5.6 Sol (batch)openai/gpt-5.6-sol:batch | 1.05M | $1 | $5 | — | |||
| Mistral: Mistral Medium 3.1mistralai/mistral-medium-3.1 | 131.072K | $0.4 | $2 | — | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 262.144K | $0.5 | $1.5 | — | |||
| OpenAI: GPT-5.6 Terra Pro (batch)openai/gpt-5.6-terra-pro:batch | 1.05M | $1 | $6 | — | |||
| databricks-kimi-k3databricks/databricks-kimi-k3 | 1M | $3 | $15 | — | |||
| ministral-14b-2512mistral/ministral-14b-2512 | 262.144K | $0.2 | $0.2 | — | |||
| ministral-14b-latestmistral/ministral-14b-latest | 262.144K | $0.2 | $0.2 | — | |||
| ministral-3b-2512mistral/ministral-3b-2512 | 131.072K | $0.1 | $0.1 | — | |||
| ministral-3b-latestmistral/ministral-3b-latest | 131.072K | $0.1 | $0.1 | — | |||
| zai-org/GLM-5.3-Flashtogether_ai/zai-org/glm-5.3-flash | 1.04858M | $0.15 | $0.5 | — | |||
| mistral-medium-3mistral/mistral-medium-3 | 262.144K | $1.5 | $7.5 | — | |||
| moonshotai/kimi-k3novita/moonshotai/kimi-k3 | 1.04858M | $3 | $15 | — | |||
| moonshotai/kimi-k2.7-codenovita/moonshotai/kimi-k2.7-code | 262.144K | $0.95 | $4 | — | |||
| OpenAI: GPT-4.1 Nano (batch)openai/gpt-4.1-nano:batch | 1.04758M | $0.05 | $0.2 | — | |||
| deepseek/deepseek-v4-flash-vision-expnovita/deepseek/deepseek-v4-flash-vision-exp | 1.04858M | $0.44 | $1.32 | — | |||
| minimax/minimax-m3novita/minimax/minimax-m3 | 1M | $0.3 | $1.2 | — | |||
| OpenAI: GPT-4o (batch)openai/gpt-4o:batch | 128K | $1.25 | $5 | — | |||
| qwen/qwen3.8-maxnovita/qwen/qwen3.8-max | 1M | $2 | $6 | — | |||
| stepfun/step-3.7-flashnovita/stepfun/step-3.7-flash | 262.144K | $0.2 | $1.15 | — | |||
| xiaomimimo/mimo-v2.5novita/xiaomimimo/mimo-v2.5 | 1.04858M | $0.168 | $0.336 | — | |||
| 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 | — | |||
| OpenAI: GPT-5.2 (batch)openai/gpt-5.2:batch | 400K | $0.875 | $7 | — | |||
| zai-org/glm-5v-turbonovita/zai-org/glm-5v-turbo | 204.8K | $1.2 | $4 | — | |||
| google/gemma-4-26b-a4b-itnovita/google/gemma-4-26b-a4b-it | 262.144K | $0.13 | $0.4 | — | |||
| OpenAI: GPT-6 Astra Pro (batch)openai/gpt-6-astra-pro:batch | 1.05M | $5 | $25 | — | |||
| google/gemma-4-31b-itnovita/google/gemma-4-31b-it | 262.144K | $0.14 | $0.4 | — | |||
| qwen/qwen3.5-27bnovita/qwen/qwen3.5-27b | 262.144K | $0.3 | $2.4 | — | |||
| qwen/qwen3.5-122b-a10bnovita/qwen/qwen3.5-122b-a10b | 262.144K | $0.4 | $3.2 | — | |||
| qwen/qwen3.5-35b-a3bnovita/qwen/qwen3.5-35b-a3b | 262.144K | $0.25 | $2 | — | |||
| qwen/qwen3.5-397b-a17bnovita/qwen/qwen3.5-397b-a17b | 262.144K | $0.6 | $3.6 | — | |||
| deepseek/deepseek-ocr-2novita/deepseek/deepseek-ocr-2 | 8.192K | $0.03 | $0.03 | — |