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mimo-v2.6-flash

MiMo-V2.6-Flash is Xiaomi's latest open-source text generation model, built for developer flexibility. With 309B total parameters and 15B activated per token via a Mixture-of-Experts setup, it balances strong performance with efficient inference. The hybrid attention mechanism supports long contexts—up to 1M tokens—making it suitable for complex document analysis, code generation, and multilingual tasks. As an open-weight model under an API license, it integrates well with existing toolchains and allows customization for specific use cases. While not the largest model available, its architecture prioritizes practical efficiency, offering competitive results without excessive computational overhead. Ideal for developers looking to build or extend applications with a locally runnable, high-capacity language model.

xiaomitext generation
01 / MODEL CARD

Model card

MiMo-V2.6-Flash is Xiaomi's latest open-source text generation model, built for developer flexibility. With 309B total parameters and 15B activated per token via a Mixture-of-Experts setup, it balances strong performance with efficient inference. The hybrid attention mechanism supports long contexts—up to 1M tokens—making it suitable for complex document analysis, code generation, and multilingual tasks. As an open-weight model under an API license, it integrates well with existing toolchains and allows customization for specific use cases. While not the largest model available, its architecture prioritizes practical efficiency, offering competitive results without excessive computational overhead. Ideal for developers looking to build or extend applications with a locally runnable, high-capacity language model.

Model typetext generation
Providerxiaomi
LicenseAPI
02 / FILES & VERSIONS

Model files and versions

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Source repositoryhttps://openrouter.ai/xiaomi/mimo-v2.6-flash
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03 / DOWNLOAD

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04 / WORKFLOW

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  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

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