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    OpenAI: GPT-5 Pro

    openai/gpt-5-pro

    Created Oct 6, 2025400,000 context
    $15/M input tokens$120/M output tokens$10/K web search

    GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. It supports test-time routing features and advanced prompt understanding, including user-specified intent like "think hard about this." Improvements include reductions in hallucination, sycophancy, and better performance in coding, writing, and health-related tasks.

    Providers for GPT-5 Pro

    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 Pro

    Compare different providers across OpenRouter

    Apps using GPT-5 Pro

    Top public apps this week using this model

    Recent activity on GPT-5 Pro

    Total usage per day on OpenRouter

    Uptime stats for GPT-5 Pro

    Uptime stats for GPT-5 Pro across all providers

    Sample code and API for GPT-5 Pro

    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.