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Favicon for Xiaomi

Xiaomi

Browse models provided by Xiaomi (Terms of Service)

3 models

Tokens processed on OpenRouter

  • Favicon for xiaomi
    Xiaomi: MiMo-V2.6-Pro-UltraSpeedMiMo-V2.6-Pro-UltraSpeed

    MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro. Built from the same 1T MiMo-V2.6-Pro checkpoint, it matches the original model in quality while delivering roughly 10x the output speed. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers top-tier performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.

    by xiaomiSep 21, 20261.05M context$4.35/M input tokens$8.70/M output tokens
  • Favicon for xiaomi
    Xiaomi: MiMo-V2.6-FlashMiMo-V2.6-Flash

    MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for greater computational efficiency. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers strong performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.

    by xiaomiSep 21, 20261.05M context$0.14/M input tokens$0.28/M output tokens
  • Favicon for xiaomi
    Xiaomi: MiMo-V2.6-ProMiMo-V2.6-Pro

    MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding workloads. The model features a 1M-token context window and native multimodal capabilities. Optimized for agentic workflows, it delivers top-tier performance across coding, visual, general, and research scenarios, excelling at complex, long-horizon tasks with robust generalization across a diverse range of agent harnesses.

    by xiaomiSep 21, 20261.05M context$0.435/M input tokens$0.87/M output tokens