2,852 models

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lambda_ai/llama3.1-70b-instruct-fp8 131.072K context $0.12/M input $0.3/M output

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lambda_ai/llama3.1-8b-instruct 131.072K context $0.025/M input $0.04/M output

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lambda_ai/llama3.2-3b-instruct 131.072K context $0.015/M input $0.025/M output

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lambda_ai/llama3.3-70b-instruct-fp8 131.072K context $0.12/M input $0.3/M output

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lambda_ai/qwen25-coder-32b-instruct 131.072K context $0.05/M input $0.1/M output

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lambda_ai/qwen3-32b-fp8 131.072K context $0.05/M input $0.1/M output

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gmi/deepseek-ai/deepseek-v3.2 163.84K context $0.28/M input $0.4/M output

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

openai/gpt-5.6-luna-pro:batch 1.05M context $0.1/M input $0.6/M output

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deepinfra/google/gemma-3-4b-it 131.072K context $0.04/M input $0.08/M output

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meta_llama/llama-3.3-8b-instruct 128K context Input not listed Output not listed

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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

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deepinfra/google/gemma-3-27b-it 131.072K context $0.09/M input $0.16/M output

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azure/gpt-4.1-nano 1.04758M context $0.1/M input $0.4/M output

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

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deepinfra/google/gemma-3-12b-it 131.072K context $0.05/M input $0.1/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/devstral-latest 256K context $0.4/M input $2/M output

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

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mistral/mistral-large-3 262.144K context $0.5/M input $1.5/M output

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azure/gpt-4.1-mini-2025-04-14 1.04758M context $0.4/M input $1.6/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-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