• multimodal — A model that works with more than text — reading images, audio, or video, and sometimes generating them too.
• distillation — Training a small, cheap model to imitate a big one's outputs, keeping much of the capability at a fraction of the cost.
• mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
• open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.

Xiaomi's MiMo-V2.6 family (Flash/Pro variants, hundreds of GB, multimodal) adds another credible open-weight frontier option for practitioners choosing inference targets.

• postXiaomi's MiMo-V2.6-Pro tops open-weights model benchmarksArtificialAnlys
• postMiMo-V2.5 and V2.5-Pro go open weights under MIT with day-zero SGLang and vLLMXiaomi MiMo
• articleMiMo V2.6 Flash RL releasedXiaomi MiMo model releases

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