Xiaomi has expanded its artificial intelligence portfolio with the release of MiMo-V2-Pro, a proprietary reasoning model that emphasizes both intelligence and operational efficiency. Scoring a 49 on the Artificial Analysis Intelligence Index, the model sits comfortably among elite competitors, narrowly trailing GLM-5 while surpassing Kimi K2.5 and Qwen3.5. Unlike its predecessor, the open-weight MiMo-V2-Flash, the Pro version is currently restricted to Xiaomi's first-party API, signaling a shift toward a more controlled service model for their most capable systems.

The model shines particularly in agentic real-world work tasks—benchmarks designed to measure how well an AI can plan and execute complex sequences. With an Elo rating of 1426 on the GDPval-AA leaderboard, MiMo-V2-Pro establishes itself as a leader among Chinese-developed models. It demonstrates a sophisticated ability to connect disparate pieces of information to reach logical conclusions (reasoning) without the massive token overhead typically seen in similar architectures.

Economically, MiMo-V2-Pro is positioned on the Pareto frontier, a term used to describe the optimal balance between cost and performance. At just $1 per million input tokens, it is significantly cheaper to operate than Western counterparts like GPT-5.2 Codex or Claude Opus 4.6. This affordability is bolstered by a 1M token context window and a reduced hallucination rate of 30%, making it a compelling option for developers prioritizing long-form accuracy and budget efficiency in text-only applications.

Xiaomi has expanded its artificial intelligence portfolio with the release of MiMo-V2-Pro, a proprietary reasoning model that emphasizes both intelligence and operational efficiency. Scoring a 49 on the Artificial Analysis Intelligence Index, the model sits comfortably among elite competitors, narrowly trailing GLM-5 while surpassing Kimi K2.5 and Qwen3.5. Unlike its predecessor, the open-weight MiMo-V2-Flash, the Pro version is currently restricted to Xiaomi's first-party API, signaling a shift toward a more controlled service model for their most capable systems.

The model shines particularly in agentic real-world work tasks—benchmarks designed to measure how well an AI can plan and execute complex sequences. With an Elo rating of 1426 on the GDPval-AA leaderboard, MiMo-V2-Pro establishes itself as a leader among Chinese-developed models. It demonstrates a sophisticated ability to connect disparate pieces of information to reach logical conclusions (reasoning) without the massive token overhead typically seen in similar architectures.

Economically, MiMo-V2-Pro is positioned on the Pareto frontier, a term used to describe the optimal balance between cost and performance. At just $1 per million input tokens, it is significantly cheaper to operate than Western counterparts like GPT-5.2 Codex or Claude Opus 4.6. This affordability is bolstered by a 1M token context window and a reduced hallucination rate of 30%, making it a compelling option for developers prioritizing long-form accuracy and budget efficiency in text-only applications.