Xiaomi MiMo-V2-Pro - Xiaomi's flagship large model for the Agent era

What is Xiaomi MiMo-V2-Pro

Xiaomi MiMo-V2-Pro is Xiaomi's flagship large model built for the Agent era, with over 1 trillion total parameters (42B activated parameters) and support for a 1 million token ultra-long context. The model adopts an innovative hybrid attention architecture, deeply optimized for complex Agent tasks, and performs at a top level in OpenClaw、Claude Code and other agent frameworks, with performance approaching Claude Opus 4.6 . It ranks eighth globally and second in China on the authoritative global comprehensive intelligence leaderboard for large models, marking a major breakthrough for Xiaomi in the AI field and making frontier intelligence more accessible.

Xiaomi MiMo-V2-Pro's main features

• Agent task execution: The model can complete complex workflow orchestration, long-horizon planning, and precise tool invocation without human intervention, reliably delivering final results.
• Code engineering development: The model has strong system design capabilities and an elegant coding style, and can independently complete the full development process from programming to debugging.
• Multi-turn dialogue reasoning: It supports ultra-long context memory, maintains coherent understanding across multi-turn interactions, and can accurately trace back historical information to make reasonable inferences.
• Frontend page generation: It can generate exquisitely designed, fully functional web pages in one step, balancing visual quality with practical usability.
• Tool invocation integration: It natively adapts to mainstream Agent frameworks such as OpenClaw, enabling efficient cross-platform toolchain collaboration.

Xiaomi MiMo-V2-Pro's technical principles

• Hybrid attention architecture: It adopts an innovative Hybrid Attention mechanism, raising the hybrid ratio to 7:1, maintaining high inference efficiency while preserving a trillion-parameter scale, enabling the model to flexibly allocate computational resources to handle tasks of different complexity.
• Multi-token prediction layer: It introduces a lightweight MTP (Multi Token Prediction) layer, which greatly increases generation speed and reduces inference latency by predicting multiple subsequent tokens in parallel, meeting the performance requirements of real-time interaction scenarios.
• Ultra-long context window: It supports a context length of 1M tokens, providing a structural advantage for long-range dependency modeling, enabling the model to handle complex Agent tasks such as large-scale codebases and long documents without losing key information.
• Post-training Scaling: Continuous post-training optimization is carried out across a wide range of Agent scenarios, strengthening tool invocation and multi-step reasoning capabilities through SFT and RL, achieving a leap from \"answering questions\" to \"completing tasks\".

Xiaomi MiMo-V2-Pro's key information and usage requirements

• Model positioning: A flagship foundation large model for the Agent era
• Total parameters: Over 1T (1 trillion)
• Activated parameters：42B
• Context window: 1M (1 million tokens)
• Core architecture: Hybrid Attention (7:1 hybrid ratio) + lightweight MTP layer
• Performance ranking: Artificial Analysis global eighth, domestic second
• Benchmark level: Approaching Claude Opus 4.6, surpassing Claude Sonnet 4.6
• API pricing: Only 1/5 of Claude Opus 4.6
• Internal testing codename: Hunter Alpha (once launched anonymously on OpenRouter, with calls exceeding 1T tokens)
• Hardware Environment: It requires API calls; local deployment has extremely high computing power requirements (1T parameter scale). The official recommendation is to use the cloud API service, with no local configuration required.
• Software Integration: It natively supports mainstream Agent frameworks such as OpenClaw and Claude Code, provides standard API interfaces, and is compatible with existing development toolchains.

Core Advantages of Xiaomi MiMo-V2-Pro

• Leading Agent Capabilities: Deeply optimized for complex Agent scenarios, it performs at a top level in frameworks such as OpenClaw and Claude Code, enabling complex workflow orchestration, long-horizon planning, and precise tool invocation without human intervention, evolving from "answering questions" to "completing tasks".
• Ultra-Long Context Processing: The model supports a 1M token ultra-long context window, can handle complex tasks such as large-scale codebases and lengthy documents with ease, and has a structural advantage in long-range dependency modeling, enabling precise information retrieval and reasoning across time.
• Extreme Cost-Effectiveness: Performance approaches Claude Opus 4.6 and surpasses Sonnet 4.6, while API pricing is only 1/5 of theirs, greatly lowering the threshold for using frontier intelligence and making top-tier Agent capabilities more accessible.
• Efficient Inference Architecture: The model adopts a Hybrid Attention architecture with a 7:1 hybrid ratio, combined with a lightweight MTP layer, maintaining relatively high inference efficiency even at trillion-parameter scale and delivering a low-latency, high-throughput generation experience.
• Full-Stack Ecosystem Adaptation: It natively supports mainstream Agent frameworks and deeply collaborates with toolchains such as OpenClaw. It can be quickly integrated into existing development environments and generate usable code and refined frontend pages in one step.

How to Use Xiaomi MiMo-V2-Pro

• Obtain Access Permission: Developers can visit https://platform.xiaomimimo.com to register a developer account. After completing real-name verification, apply for an API key. Once approved, you can obtain official invocation eligibility.
• Experience Agent Capabilities for Free: Visit the official model experience page https://aistudio.xiaomimimo.com，用 MiMo Claw feature to experience the core capabilities of MiMo-V2-Pro with zero threshold. Without writing code, you can intuitively feel its task execution and tool invocation performance.

Comparison of Xiaomi MiMo-V2-Pro with Similar Competitors

Application Scenarios of Xiaomi MiMo-V2-Pro

• Intelligent Programming Development: The model supports full-process automation of complex code engineering, from requirements analysis and architecture design to code generation and debugging. It can handle large-scale codebases and is suitable for enterprise-level software development and legacy system refactoring.
• Automated workflow orchestration: Enables human-free task execution in agent frameworks such as OpenClaw, automatically completing multi-step business processes such as data processing, report generation, and cross-system collaboration, significantly improving office efficiency and business automation.
• Intelligent analysis of long documents: The model can process hundreds of pages of long documents such as legal contracts, academic papers, and technical manuals in one pass, enabling full-text understanding, key information extraction, cross-chapter correlation analysis, and intelligent summary generation.
• Front-end design and development: The model supports rapid iteration from concept to runnable prototype, accelerating the product design and development process.