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    Z.AI: GLM 4.6 (exacto)Exacto variant

    z-ai/glm-4.6:exacto

    Created Sep 30, 2025204,800 context
    $0.60/M input tokens$2.20/M output tokens

    Compared with GLM-4.5, this generation brings several key improvements:

    Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks. Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages. Advanced reasoning: GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability. More capable agents: GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks. Refined writing: Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios.

    Providers for GLM 4.6 (exacto)

    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 4.6 (exacto)

    Compare different providers across OpenRouter

    Apps using GLM 4.6 (exacto)

    Top public apps this week using this model

    Recent activity on GLM 4.6 (exacto)

    Total usage per day on OpenRouter

    Uptime stats for GLM 4.6 (exacto)

    Uptime stats for GLM 4.6 (exacto) across all providers

    Sample code and API for GLM 4.6 (exacto)

    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.