MiMo-V2.5 introduces omnimodal capabilities with dedicated vision (729M params) and audio (261M params) encoders built on the MiMo-V2-Flash backbone. The model supports 1M token context and was trained on 48T tokens with agentic RL and multi-teacher distillation.
Xiaomi released MiMo-V2.5, a 310B total parameter sparse mixture-of-experts model that activates 15B parameters per token. The omnimodal model supports text, image, video, and audio understanding with a 1M token context window and was trained on 48T tokens using FP8 mixed precision.
Xiaomi released MiMo-V2.5 on April 22, 2026, a native omnimodal model with a 1,048,576 token context window. The model is priced at $0.40 per million input tokens and $2 per million output tokens, positioning it as a cost-efficient alternative for agentic applications requiring multimodal perception across image and video understanding.