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    MiniMax: MiniMax-01

    minimax/minimax-01

    Created Jan 15, 20251,000,192 context
    $0.20/M input tokens$1.10/M output tokens

    MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context of up to 4 million tokens.

    The text model adopts a hybrid architecture that combines Lightning Attention, Softmax Attention, and Mixture-of-Experts (MoE). The image model adopts the “ViT-MLP-LLM” framework and is trained on top of the text model.

    To read more about the release, see: https://www.minimaxi.com/en/news/minimax-01-series-2

    Providers for MiniMax-01

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

    Performance for MiniMax-01

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    Apps using MiniMax-01

    Top public apps this week using this model

    Recent activity on MiniMax-01

    Total usage per day on OpenRouter

    Uptime stats for MiniMax-01

    Uptime stats for MiniMax-01 across all providers

    Sample code and API for MiniMax-01

    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.