XiaomiMiMo/MiMo-V2-Flash Under-rated?
Published:Dec 28, 2025 14:17
•1 min read
•r/LocalLLaMA
Analysis
The Reddit post from r/LocalLLaMA highlights the XiaomiMiMo/MiMo-V2-Flash model, a 310B parameter LLM, and its impressive performance in benchmarks. The post suggests that the model competes favorably with other leading LLMs like KimiK2Thinking, GLM4.7, MinimaxM2.1, and Deepseek3.2. The discussion invites opinions on the model's capabilities and potential use cases, with a particular interest in its performance in math, coding, and agentic tasks. This suggests a focus on practical applications and a desire to understand the model's strengths and weaknesses in these specific areas. The post's brevity indicates a quick observation rather than a deep dive.
Key Takeaways
- •XiaomiMiMo/MiMo-V2-Flash is a large language model with 310 billion parameters.
- •The model is performing well in benchmarks, potentially competing with established LLMs.
- •The discussion focuses on practical applications like math, coding, and agentic tasks.
Reference
“XiaomiMiMo/MiMo-V2-Flash has 310B param and top benches. Seems to compete well with KimiK2Thinking, GLM4.7, MinimaxM2.1, Deepseek3.2”