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Model Library
/MiniMax/MiniMax-M2.5
accounts/fireworks/models/minimax-m2p5

    MiniMax M2.5 is built for state-of-the-art coding, agentic tool use, search, and office work, extensively trained with reinforcement learning across hundreds of thousands of real-world environments to plan like an architect and generalize across unfamiliar scaffolding and tools. It delivers significantly faster task completion, improved token efficiency, and exceptional cost-effectiveness, making it well-suited for production-scale agentic applications and complex, multi-step workflows.

    MiniMax-M2.5 API Features

    Serverless

    Docs

    MiniMax-M2.5 is available via Fireworks' serverless API, where you pay per token. There are several ways to call the Fireworks API, including Fireworks' Python client, the REST API, or OpenAI's Python client.

    On-demand Deployment

    Docs

    On-demand deployments allow you to use MiniMax-M2.5 on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

    Available Serverless

    Run queries immediately, pay only for usage

    $0.30 / $0.03 / $1.20
    Per 1M Tokens (input/cached input/output)

    Metadata

    State
    Ready
    Created on
    2/12/2026
    Kind
    Base model
    Provider
    MiniMax

    Specification

    Calibrated
    Yes
    Mixture-of-Experts
    Yes
    Parameters
    228B

    Supported Functionality

    Fine-tuning
    Not supported
    Serverless
    Supported
    Context Length
    196k tokens
    Function Calling
    Supported
    Embeddings
    Not supported
    Rerankers
    Not supported
    Support image input
    Not supported