MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a hybrid-thinking toggle and a 256K context window, and excels at reasoning, coding, and agent scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks as the top #1 open-source model globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much.
Users can control the reasoning behaviour with the reasoningenabled boolean. Learn more in our docs.
Xiaomi: MiMo-V2-Flash (free) – Recent Activity and Usage Stats
Recent activity on MiMo-V2-Flash (free)
Total usage per day on OpenRouter
Prompt
70.3B
Completion
5.56B
Reasoning
5.36B
Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.