2 entries with this tag
Xiaomi's newly open-sourced MiMo-V2.5-Pro (1.02T params, 42B active) introduces hybrid attention and multi-token prediction, achieving SWE-Bench Pro 57.2% and frontier-competitive performance across reasoning, coding, and long-context tasks. This analysis compares MiMo-V2.5-Pro against Kimi K2.5, MiniMax M2.7, and GLM-5.1, revealing a strategic consolidation of Asian frontier capability.
A technical comparison of three leading Chinese frontier models (Moonshot's Kimi K2.5, MiniMax's M2.7, and Zhipu's GLM-5.1) across coding, reasoning, agentic capabilities, and cost-efficiency, with M2.7's model self-evolution and professional software engineering focus, establishing the competitive landscape of Chinese AI infrastructure in April 2026.