MiMo-V2-Flash is an open-source foundational language model created by Xiaomi, featuring a Mixture-of-Experts architecture with 309 billion total parameters (15 billion active) and a hybrid attention mechanism. It supports hybrid-thinking, offers a 256K context window, and excels in reasoning, coding, and agent-based tasks. Ranking #1 among open-source models worldwide on SWE-bench Verified and Multilingual benchmarks, MiMo-V2-Flash matches the performance of Claude Sonnet 4.5 at just 3.5% of the cost. For best and fastest results when using agentic tools like Claude Code, Cline, or Roo Code, be sure to disable reasoning mode, as the model is extensively optimized for these scenarios.
Not enough throughput data
Not enough TTFT data