3,236 models

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minimax/minimax-m2.1-lightning 1M context $0.3/M input $2.4/M output

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minimax/minimax-m2.5-lightning 1M context $0.3/M input $2.4/M output

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...

nvidia/nemotron-3-nano-30b-a3b:free 256K context Free input Free output

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...

qwen/qwen3-30b-a3b-instruct-2507 128K context $0.048/M input $0.193/M output

Fast-mode variant of [Opus 4.7](/anthropic/claude-opus-4.7) - identical capabilities with higher output speed at premium 6x pricing. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

anthropic/claude-opus-4.7-fast 1M context $30/M input $150/M output

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mistral/codestral-2405 32K context $1/M input $3/M output

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mistral/codestral-2508 256K context $0.3/M input $0.9/M output

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mistral/codestral-mamba-latest 256K context $0.25/M input $0.25/M output

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mistral/devstral-small-2505 128K context $0.1/M input $0.3/M output

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mistral/devstral-small-latest 256K context $0.1/M input $0.3/M output

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mistral/labs-devstral-small-2512 256K context $0.1/M input $0.3/M output

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

openai/gpt-5.6-terra-pro 1.05M context $2/M input $12/M output

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mistral/magistral-medium-2506 40K context $2/M input $5/M output

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mistral/magistral-medium-2509 40K context $2/M input $5/M output

Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.

bytedance-seed/seed-1.6 262.144K context $0.25/M input $2/M output

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mistral/magistral-small-1-2-2509 40K context $0.5/M input $1.5/M output

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mistral/mistral-large-2402 32K context $4/M input $12/M output

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mistral/mistral-large-2407 128K context $3/M input $9/M output

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deepinfra/qwen/qwen3-32b 40.96K context $0.1/M input $0.28/M output

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mistral/mistral-medium 32K context $2.7/M input $8.1/M output

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deepinfra/qwen/qwen3-30b-a3b 40.96K context $0.08/M input $0.29/M output

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mistral/mistral-medium-2508 131.072K context $0.4/M input $2/M output

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mistral/mistral-medium-3-1-2508 131.072K context $0.4/M input $2/M output

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mistral/mistral-medium-3-5 262.144K context $1.5/M input $7.5/M output

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mistral/mistral-small 32K context $0.1/M input $0.3/M output

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mistral/mistral-small-3-2-2506 131.072K context $0.06/M input $0.18/M output

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mistral/ministral-3-3b-2512 131.072K context $0.1/M input $0.1/M output

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mistral/ministral-3-8b-2512 262.144K context $0.15/M input $0.15/M output

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mistral/ministral-3-14b-2512 262.144K context $0.2/M input $0.2/M output

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mistral/ministral-8b-2512 262.144K context $0.15/M input $0.15/M output

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mistral/ministral-8b-latest 262.144K context $0.15/M input $0.15/M output

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mistral/mistral-tiny 32K context $0.25/M input $0.25/M output

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mistral/open-codestral-mamba 256K context $0.25/M input $0.25/M output