MiMo-V2.6-Flash is the efficiency-oriented variant in Xiaomi's MiMo-V2.6 series, released and open-sourced on September 22, 2026. Xiaomi positions Flash as the option that "strikes the best balance between intelligence, efficiency, and cost," complementing the more capable MiMo-V2.6-Pro in a two-model lineup of natively omnimodal systems. The series is framed as a step along Xiaomi's RSI path, where reinforcement learning compute is scaled on verifiable, complex tasks so the model can broaden its capability frontier through exploration and feedback rather than purely through pre-training scale. Open weights make the model accessible for local deployment, self-hosting, and downstream experimentation beyond a single API surface.
In Xiaomi's published benchmarks, MiMo-V2.6-Flash shows competitive coding and agentic performance relative to other models in the comparison set, reaching 67.9 on DeepSWE v1.1, 26.0 on ProgramBench, and 61.2 on Xiaomi's in-house MiMo Code Bench. These results place Flash well ahead of the prior MiMo-V2.5-Pro generation while trailing the larger MiMo-V2.6-Pro sibling, consistent with its mid-tier role in the lineup. Practically, the model fits workloads that need open-weight omnimodal reasoning and agent-style tool use without paying for the heaviest tier, and a separately documented Flash-RL suffix variant points to active experimentation with reinforcement-learned post-training recipes for users who run their own serving stacks.
