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  • © 2025 OpenRouter, Inc

    Z.AI: GLM 4.7

    z-ai/glm-4.7

    Created Dec 22, 2025202,752 context
    $0.44/M input tokens$1.74/M output tokens

    GLM-4.7 is Z.AI’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.

    Providers for GLM 4.7

    OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

    Performance for GLM 4.7

    Compare different providers across OpenRouter

    Apps using GLM 4.7

    Top public apps this month

    Recent activity on GLM 4.7

    Total usage per day on OpenRouter

    Prompt
    84.6M
    Reasoning
    8.07M
    Completion
    2.16M

    Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

    Uptime stats for GLM 4.7

    Uptime stats for GLM 4.7 across all providers

    Sample code and API for GLM 4.7

    OpenRouter normalizes requests and responses across providers for you.

    OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

    In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

    Using third-party SDKs

    For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

    See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.