1,808 models

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oci/google.gemini-2.5-pro 1.04858M context $1.25/M input $10/M output

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scaleway/qwen/qwen3.5-397b-a17b 256K context $0.6/M input $3.6/M output

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scaleway/qwen/qwen3.6-35b-a3b 256K context $0.25/M input $1.5/M output

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novita/minimax/minimax-m2.1 204.8K context $0.3/M input $1.2/M output

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novita/zai-org/glm-4.7 204.8K context $0.6/M input $2.2/M output

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novita/xiaomimimo/mimo-v2-flash 262.144K context $0.1/M input $0.3/M output

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novita/moonshotai/kimi-k2-thinking 262.144K context $0.6/M input $2.5/M output

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novita/minimax/minimax-m2 204.8K context $0.3/M input $1.2/M output

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novita/zai-org/glm-4.6 204.8K context $0.55/M input $2.2/M output

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novita/kwaipilot/kat-coder-pro 256K context $0.3/M input $1.2/M output

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novita/qwen/qwen3-max 262.144K context $2.11/M input $8.45/M output

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novita/skywork/r1v4-lite 262.144K context $0.2/M input $0.6/M output

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novita/moonshotai/kimi-k2-0905 262.144K context $0.6/M input $2.5/M output

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novita/minimaxai/minimax-m1-80k 1M context $0.55/M input $2.2/M output

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libertai/gemma-4-31b-it 262.144K context $0.15/M input $0.4/M output

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libertai/gemma-4-31b-it-thinking 262.144K context $0.15/M input $0.4/M output

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libertai/qwen3.6-27b 262.144K context $0.15/M input $0.5/M output

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libertai/qwen3.6-27b-thinking 262.144K context $0.15/M input $0.5/M output

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libertai/qwen3.6-35b-a3b 262.144K context $0.15/M input $0.5/M output

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libertai/qwen3.6-35b-a3b-thinking 262.144K context $0.15/M input $0.5/M output

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libertai/qwen3.5-122b-a10b 262.144K context $0.25/M input $1.75/M output

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libertai/qwen3.5-122b-a10b-thinking 262.144K context $0.25/M input $1.75/M output

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libertai/deepseek-v4-flash 200K context $0.25/M input $1.75/M output

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openai/gpt-5-search-api 272K context $1.25/M input $10/M output

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gemini/gemini-2.0-flash-lite-001 1.04858M context $0.075/M input $0.3/M output

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gemini/gemini-pro-latest 1.04858M context $1.25/M input $10/M output

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

qwen/qwen3.5-9b:batch 262.144K context $0.17/M input $0.25/M output