Xiaomi Launches MiMo-V2-Pro: Trillion-Parameter Foundation Model Optimized for AI Agents
Key Takeaways
- ▸MiMo-V2-Pro is a 1T-parameter model with 42B active parameters, 3x larger than its predecessor, engineered specifically for AI agent orchestration and real-world task completion
- ▸The model ranks 8th globally and 2nd among Chinese LLMs, with coding capabilities exceeding Claude Sonnet 4.6 and agent performance approaching Claude Opus 4.6
- ▸Early testing under the codename 'Hunter Alpha' on OpenRouter generated over 1 trillion tokens of usage in one week, indicating strong developer interest and market traction
Summary
Xiaomi has unveiled MiMo-V2-Pro, a flagship foundation model designed to serve as the brain of autonomous agent systems. The trillion-parameter model features 42B active parameters and ranks 8th globally and 2nd among Chinese LLMs according to the Artificial Analysis Intelligence Index. It supports up to 1M-token context windows and incorporates an improved Hybrid Attention mechanism with a 7:1 hybrid ratio, enabling efficient inference despite its massive scale.
The model excels in agent-specific capabilities, particularly tool-calling stability and multi-step reasoning. MiMo-V2-Pro demonstrates coding abilities that surpass Claude Sonnet 4.6 and achieves general agent performance (ClawEval score: 61.5) approaching Claude Opus 4.6 (66.3). The model was initially tested anonymously as "Hunter Alpha" on OpenRouter, where it topped the daily usage chart and accumulated over 1 trillion tokens in a single week, demonstrating strong market demand.
Xiaomi has optimized MiMo-V2-Pro specifically for agentic workloads through extensive post-training on agent tasks and integration with the open-source OpenClaw framework. The model represents a shift toward foundation models built explicitly for task completion and real-world orchestration of complex workflows, rather than conversational or demonstration-focused capabilities.
- MiMo-V2-Pro supports 1M-token context windows and integrates with the OpenClaw agent framework, optimized for tool-calling accuracy, multi-step reasoning, and production engineering workflows
Editorial Opinion
MiMo-V2-Pro represents a notable shift in foundation model design philosophy—from conversational assistants to agent brains. Xiaomi's emphasis on real-world agentic performance over benchmark rankings suggests the industry is moving toward evaluating models on practical task completion rather than abstract intelligence metrics. The model's strong performance in tool-calling and coding, combined with efficient scaling through mixture-of-experts techniques, could establish a competitive alternative to Western LLMs in the growing agent economy.
