2,852 models

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together_ai/qwen/qwen3.8-2.4t-a95b 1.01M context $2.5/M input $6.25/M output

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azure/gpt-4o-mini 128K context $0.165/M input $0.66/M output

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dashscope/glm-5.1 202.745K context $1.4/M input $4.4/M output

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dashscope/deepseek-v4-pro 1M context $2.4/M input $4.8/M output

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azure/gpt-4o-mini-2024-07-18 128K context $0.165/M input $0.66/M output

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azure/gpt-5.1-2025-11-13 272K context $1.25/M input $10/M output

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azure/gpt-5.1-chat-2025-11-13 128K context $1.25/M input $10/M output

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azure/gpt-5 272K context $1.25/M input $10/M output

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dashscope/deepseek-v4-flash-0731 1M context $0.2/M input $0.4/M output

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

anthropic/claude-opus-4.7:batch 1M context $2.5/M input $12.5/M output

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azure/gpt-5-chat 128K context $1.25/M input $10/M output

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azure/gpt-5-chat-latest 128K context $1.25/M input $10/M output

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together_ai/google/gemma-4-31b-it 262.144K context $0.39/M input $0.97/M output

Grok 4.20 Multi-Agent is a variant of SpaceXAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...

x-ai/grok-4.20-multi-agent 2M context $1.25/M input $2.5/M output

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dashscope/deepseek-v4-flash 1M context $0.2/M input $0.4/M output

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azure/gpt-5-nano 272K context $0.05/M input $0.4/M output

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azure/gpt-5-nano-2025-08-07 272K context $0.05/M input $0.4/M output

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azure/gpt-5.1 272K context $1.25/M input $10/M output

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together_ai/moonshotai/kimi-k3 1.04858M context $3/M input $15/M output

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azure/gpt-5.1-chat 128K context $1.25/M input $10/M output

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azure/gpt-5.2 272K context $1.75/M input $14/M output

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azure/gpt-5.2-2025-12-11 272K context $1.75/M input $14/M output

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azure/gpt-5.2-chat 128K context $1.75/M input $14/M output

Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...

ai21/jamba-large-1.7 256K context $2/M input $8/M output

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azure/gpt-5.2-chat-2025-12-11 128K context $1.75/M input $14/M output

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azure/gpt-5.3-chat 128K context $1.75/M input $14/M output

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azure/gpt-5.4 1.05M context $2.5/M input $15/M output

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

mistralai/mistral-medium-3-5:batch 262.144K context $0.75/M input $3.75/M output

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together_ai/pearl-ai/gemma-4-31b-it 262.144K context $0.28/M input $0.86/M output

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azure/us/gpt-5.4 1.05M context $2.75/M input $16.5/M output

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azure/eu/gpt-5.4 1.05M context $2.75/M input $16.5/M output