MiMo

Xiaomi discontinued MiMo-V2.5-Pro and MiMo-V2.5 at 10 a.m. Beijing time on October 21. Their API services now run on the MiMo-V2.6 family, and requests to the old model names have been routed to MiMo-V2.6-Pro and MiMo-V2.6-Flash since October 14.

Xiaomi's new MiMo-V2.6-Pro, a 1.02 trillion parameter mixture-of-experts model, now leads open-model rankings with a 46 on Artificial Analysis's Intelligence Index while costing roughly $0.13 per task. Anthropic simultaneously accuses Xiaomi of funneling user conversations through Claude to train the model, part of a broader pattern the company calls illegal distillation.

Xiaomi released MiMo-V2.6-Pro, a 1.02T-parameter mixture-of-experts model with 42B active parameters, which debuted as the top-scoring open-weights model on Artificial Analysis' Intelligence Index (46). The company claims the model's RL training run cost roughly $2.6M and completed in 130 hours.

Xiaomi's MiMo team has released MiMo-V2.6-Pro-RL, a 1.02-trillion-parameter sparse mixture-of-experts model with 42B active parameters, 1M-token context, and native text/image/video/audio processing. The model was trained via a single mixed reinforcement learning run spanning coding, agentic, visual, and cybersecurity tasks, with benchmark scores that Xiaomi claims approach or match Claude Opus 5 and GPT-5.6 on several agentic and coding tests.

Xiaomi's MiMo team released MiMo-V2.6-Flash-RL, an efficiency-tier checkpoint in the MiMo-V2.6 series featuring a 309B-parameter (15B active) Mixture-of-Experts architecture, 1M-token context, and native support for text, image, video, and audio. The model uses a single mixed reinforcement learning run across coding, agentic, visual, and cybersecurity tasks rather than domain-specific training.

Xiaomi has added three new entries to its MiMo model family on OpenRouter: MiMo-V2.6-Pro, MiMo-V2.6-Flash, and MiMo-V2.6-Pro-UltraSpeed. Full specifications, pricing, and benchmark results have not yet been disclosed.

Xiaomi's MiMo-V2.6-Pro-UltraSpeed is a fast-inference edition of the company's 1T-parameter flagship MiMo-V2.6-Pro, delivering roughly 10x the output speed at matching quality. It retains the 1M-token context window and native multimodal capabilities, priced at $4.35/$8.70 per 1M input/output tokens.

Xiaomi has released MiMo-V2.6-Flash, an open-source Mixture-of-Experts model with 309B total parameters and 15B activated per token, featuring a 1M-token context window and native multimodal capabilities. Priced at $0.14 per 1M input tokens and $0.28 per 1M output tokens, it targets agentic coding and long-horizon task workflows.