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    OpenAI: GPT-5.2

    openai/gpt-5.2

    Created Dec 10, 2025400,000 context
    $1.75/M input tokens$14/M output tokens$10/K web search

    GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly to simple queries while spending more depth on complex tasks.

    Built for broad task coverage, GPT-5.2 delivers consistent gains across math, coding, sciende, and tool calling workloads, with more coherent long-form answers and improved tool-use reliability.

    Providers for GPT-5.2

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

    Performance for GPT-5.2

    Compare different providers across OpenRouter

    Apps using GPT-5.2

    Top public apps this week using this model

    Recent activity on GPT-5.2

    Total usage per day on OpenRouter

    Uptime stats for GPT-5.2

    Uptime stats for GPT-5.2 across all providers

    Sample code and API for GPT-5.2

    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.