Pioneer
Xiaomi's official MiMo-V2.5-Pro model card on Hugging Face describes the model as an open-source Mixture-of-Experts language model with 1.02T total parameters and 42B active parameters, using a hybrid attention architecture that interleaves Sliding Window Attention (SWA) and Global Attention at a 6:1 ratio with a 128-t The same model card positions MiMo-V2.5-Pro as Xiaomi's most capable release to date, designed for the most demanding agentic, complex software engineering, and long-horizon tasks. It emphasizes strong instruction following and coherence over the 1M-token context, with hybrid SWA/GA reducing KV-cache storage by roughly