MiMo-V2 Pro

Xiaomi MiMo-V2 Pro is a frontier-class Large Language Model (LLM) that marks Xiaomi’s entry into the "1-trillion parameter" club. Released in March 2026, it is designed as an "execution-first" foundation model, specifically optimized to serve as the "brain" for autonomous agent systems rather than just a conversational chatbot. Before its official unveiling, it gained industry notoriety while being tested anonymously on OpenRouter under the codename "Hunter Alpha."

What It Is

MiMo-V2 Pro is a flagship Mixture-of-Experts (MoE) model featuring over 1 trillion total parameters, with 42 billion active parameters during any single inference pass. It is the centerpiece of Xiaomi’s "Agent Era" strategy, led by former DeepSeek researcher Fuli Luo. The model is characterized by its massive context window and its ability to perform high-density reasoning at a fraction of the cost of Western competitors like GPT-5 or Claude 4.

What It Can Do

• Long-Horizon Reasoning: Supports a 1-million token context window, allowing it to process entire codebases, legal libraries, or hour-long transcripts in a single prompt.
• Agentic Orchestration: Specialized in multi-step task execution, tool calling, and autonomous planning without frequent human intervention.
• High-Speed Inference: Utilizes Multi-Token Prediction (MTP) to generate text significantly faster than traditional transformer models of similar scale.
• Thinking Mode: Features a native "thought" process (accessible via <think> tags), allowing the model to "ponder" complex logic before providing a final answer.

Examples of Its Capabilities

• Autonomous Engineering: It can take a high-level software requirement, plan the architecture, write the code across multiple files, and debug execution errors in a sandbox environment.
• Professional Research: In benchmarks like Artificial Analysis, it scores near-top tier in deep research tasks, effectively synthesizing information from hundreds of pages of documentation.
• Complex Financial Analysis: It can ingest thousands of pages of quarterly earnings reports and legal filings, maintaining perfect recall across the entire 1M token range to identify subtle market trends.
• Ecosystem Integration: Functions as the central intelligence for Xiaomi's "Human-Car-Home" framework, managing smart devices and vehicle systems through natural language commands.

How Does It Work?

MiMo-V2 Pro employs a specialized Hybrid Attention architecture with a 7:1 ratio of local sliding-window attention to global attention. This allows it to "skim" vast amounts of data while focusing intense computational "vision" on the most relevant parts, preventing the quadratic slowdown typical of large context models. It was trained using Multi-Teacher On-Policy Distillation (MOPD)—a technique where the model learns from a committee of domain-expert "teacher" models—and scaled-up Reinforcement Learning (RL) focused on real-world "agentic" tasks like browser navigation and shell terminal use.

Applications of MiMo-V2 Pro

• Enterprise Productivity: Powering advanced AI features in Kingsoft Office (WPS) for automated document generation and data synthesis.
• Robotics & Automotive: Serving as the reasoning engine for Xiaomi’s EV (electric vehicle) software and future humanoid robotics.
• Software Development: Acting as a primary backend for coding agents like OpenClaw and Claude Code due to its superior coding accuracy (92.5% on major benchmarks).
• Consumer AI: Powering the MiMo Chat service and the MiMo Claw autonomous agent for general users.

Previous Models

• MiMo-V2-Flash (Dec 2025): An open-source, 309B parameter model (15B active) that served as the architectural testbed for the Pro version.
  
• Hunter Alpha (March 2026): The anonymous internal version of MiMo-V2 Pro used for public stress-testing and benchmarking before the official launch.‍
• MiMo-V1 Series: The initial generation of Xiaomi’s internal LLMs, which focused primarily on basic chat and smartphone-level assistant tasks.