MiMo 2.6 pairs new models with reinforcement-learning resources

Xiaomi’s MiMo 2.6 release introduces Pro and Flash multimodal models alongside published weights and code. Its technical account explains how the team scaled reinforcement learning using verifiable tasks, more grading compute and checks against reward hacking. For engineers, the useful questions are which tasks these models handle reliably and what the released training resources actually let them reproduce.

Xiaomi MiMo · Sep 22, 2026

Why it matters

A model launch worth investigating beyond its headline benchmark scores.

More context

Try a small evaluation through MiMo’s documented services or API before adopting it. The release lists AI Studio, MiMo Code, Desktop and OpenRouter access. Inspect the linked technical report and repository licenses before planning local inference or training.

Keep in mind

The capability and scaling claims come from Xiaomi. Hosting requirements, provider costs and license suitability need checking for your deployment; 1min has not tested the models.

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