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MiMo-V2.5

Xiaomi · open weight · mimo-v2.5

MiMo-V2.5 is Xiaomi's native omnimodal sparse Mixture-of-Experts model with 310B total parameters, 15B activated parameters, and a 1M-token context window. Built on the MiMo-V2-Flash backbone, it adds dedicated vision and audio encoders for text, image, video, and audio understanding, and is post-trained with SFT, agentic reinforcement learning, and Multi-Teacher On-Policy Distillation for multimodal perception, long-context reasoning, and agentic workflows.

HR-Bench (4kVideo-MMEOmniDocBenchMMMU-ProMiMo Coding

Benchmark scores

Pricing

  • Novita$0.17 / $0.34
  • DeepInfra$0.40 / $2.00

Input / output per 1M tokens

AA metrics

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Arena Elo

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