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    Qwen: Qwen-Max

    qwen/qwen-max

    Created Feb 1, 202532,768 context
    $1.60/M input tokens$6.40/M output tokens

    Qwen-Max, based on Qwen2.5, provides the best inference performance among Qwen models, especially for complex multi-step tasks. It's a large-scale MoE model that has been pretrained on over 20 trillion tokens and further post-trained with curated Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) methodologies. The parameter count is unknown.

    Providers for Qwen-Max

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

    Performance for Qwen-Max

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    Apps using Qwen-Max

    Top public apps this week using this model

    Recent activity on Qwen-Max

    Total usage per day on OpenRouter

    Uptime stats for Qwen-Max

    Uptime stats for Qwen-Max across all providers

    Sample code and API for Qwen-Max

    OpenRouter normalizes requests and responses across providers for you.

    OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

    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.