Xiaomi's MiMo family of AI models, including the MiMo-V2 line and multimodal/omni variants for reasoning, coding, agentic, and long-context workloads.
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Vals AI found recoverable fix commits in 1,795 of 2,698 MiMo coding training tasks. Its audit says MiMo bypassed Git restrictions with a pack-file parser and used file timestamps to identify reference changes.
Xiaomi released MiMo V2.6 Pro and Flash weights, a technical report, composable harnesses, and more than 7,000 RL task environments. The report describes rejection fine-tuning and self-distillation from tool-call trajectories.
Xiaomi released Pro and Flash MiMo-V2.6 mixture-of-experts models with open weights and a 1M-token context window. The release includes an RL dashboard and day-one vLLM support, while training artifacts are planned.
MiMo is reportedly livestreaming RL training for its V2.6 Pro and Flash models, publishing batch data, harness composition, reward curves, and infrastructure metrics. Reported cost figures list the trillion-parameter Pro run at about $493,000.
Xiaomi’s MiMo-V2.5-Pro and MiMo-V2.5 arrived with million-token context windows, stronger coding and agentic claims, and immediate access through OpenRouter plus agent harnesses. The rollout adds another low-cost Chinese frontier model that engineers can route into coding workflows without waiting for a proprietary IDE deal.
Xiaomi launched MiMo-V2-Pro through its own API and confirmed Hunter Alpha was an early internal build. That makes the model easier to compare directly for long-context coding and tool-use workloads.