Xiaomi MiMo-V2-Pro - Xiaomi's flagship MiMo-V2 Pro

What is the Xiaomi MiMo-V2-Pro?

Xiaomi MiMo-V2-Pro is Xiaomi's flagship large-scale model for the Agent era, boasting over 1 trillion parameters (42B of activation parameters) and supporting ultra-long contexts with 1 million tokens. The model employs an innovative hybrid attention architecture, deeply optimized for complex Agent tasks, and performs top-tier in intelligent agent frameworks such as OpenClaw and Claude Code, with performance approaching that of Claude Opus 4.6. Ranking eighth globally and second in China on authoritative large-scale model comprehensive intelligence leaderboards, it signifies a major breakthrough for Xiaomi in the field of AI, making cutting-edge intelligence more accessible.

Main features of Xiaomi MiMo-V2-Pro

• Agent task executionThe model can complete complex workflow orchestration, long-term planning, and precise tool invocation without human intervention, and deliver the final results reliably and continuously.
• Code Engineering DevelopmentThe model possesses powerful system design capabilities and an elegant coding style, enabling it to independently complete the entire development process from programming to debugging.
• Multi-turn dialogue reasoningIt supports ultra-long contextual memory, can maintain coherent understanding in multiple rounds of interaction, and accurately recall historical information to make reasonable inferences.
• Front-end page generationIt can generate exquisitely designed and fully functional web pages in one step, taking into account both visual quality and practical usability.
• Tool call integrationNatively compatible with mainstream agent frameworks such as OpenClaw, enabling efficient cross-platform toolchain collaborative operation.

The technical principles of Xiaomi MiMo-V2-Pro

• Hybrid attention architectureIt adopts an innovative Hybrid Attention mechanism, increasing the mixing ratio to 7:1, maintaining high inference efficiency while keeping the scale of trillions of parameters, enabling the model to flexibly allocate computing resources to handle tasks of different complexities.
• Multi-token prediction layerA lightweight MTP (Multi Token Prediction) layer is introduced, which significantly improves the generation speed and reduces inference latency by predicting multiple subsequent tokens in parallel, thus meeting the performance requirements of real-time interactive scenarios.
• Extra Long Context WindowIt supports context lengths of up to 1M tokens, providing a structural advantage for long-range dependency modeling, enabling models to handle complex Agent tasks such as large-scale codebases and long documents without losing critical information.
• Post-training Scaling: Continuous post-training optimization is performed in a wide range of agent scenarios. By enhancing tool calls and multi-step inference capabilities through SFT and RL, the ability to leap from "answering questions" to "completing tasks" is realized.

Key information and usage requirements of Xiaomi MiMo-V2-Pro

• Model localizationFlagship Foundation Model for the Agent Era
• Total number of parametersMore than 1T (1 trillion)
• Activation parameters:42B
• Context window1M (1 million tokens)
• Core ArchitectureHybrid Attention (7:1 mixing ratio) + Lightweight MTP layer
• Performance rankingArtificial Analysis: 8th globally, 2nd domestically
• Benchmarking levelApproaching Claude Opus 4.6, surpassing Claude Sonnet 4.6
• API pricingOnly 1/5 the size of Claude Opus 4.6
• Internal test codenameHunter Alpha (which was previously anonymously deployed on OpenRouter and has been used over 1T of tokens)
• Hardware environmentIt requires API calls, and local deployment has extremely high computing power requirements (1T parameter scale). The official recommendation is to use cloud API services, which do not require local configuration.
• Software AccessIt natively supports mainstream agent frameworks such as OpenClaw and Claude Code, provides standard API interfaces, and is compatible with existing development toolchains.

The core advantages of Xiaomi MiMo-V2-Pro

• Agent capability leading: Deeply optimized for complex agent scenarios, it performs top-notch in frameworks such as OpenClaw and Claude Code, enabling complex workflow orchestration, long-term planning and precise tool invocation without human intervention, evolving from "answering questions" to "completing tasks".
• Long context processingThe model supports ultra-long context windows with 1M tokens, enabling it to handle complex tasks such as large-scale codebases and long documents with ease. It has structural advantages in long-term dependency modeling and enables accurate information backtracking and reasoning across time.
• Ultimate cost-effectivenessPerformance approaching Claude Opus 4.6 and surpassing Sonnet 4.6, with API pricing at only 1/5 of its, significantly lowering the barrier to entry for cutting-edge intelligence and making top-tier agent capabilities more accessible.
• High-efficiency inference architectureThe model employs a 7:1 hybrid attention architecture with a lightweight MTP layer, maintaining high inference efficiency even with trillions of parameters, achieving a low-latency, high-throughput generation experience.
• Full-stack ecosystem adaptationIt natively supports mainstream agent frameworks and works deeply with toolchains such as OpenClaw, enabling rapid integration into existing development environments and generating usable code and sophisticated front-end pages in one step.

How to use Xiaomi MiMo-V2-Pro

• Obtain accessDevelopers can visit https://platform.xiaomimimo.com to register a developer account, complete real-name authentication, apply for an API key, and obtain official access rights after approval.
• Free trial of Agent capabilitiesVisit the official model experience page https://aistudio.xiaomimimo.com to experience the core capabilities of MiMo-V2-Pro with the MiMo Claw feature in a zero-threshold way. You can intuitively feel its task execution and tool call performance without writing any code.

Xiaomi MiMo-V2-Pro Comparison with Similar Products

Application scenarios of Xiaomi MiMo-V2-Pro

• Intelligent programming developmentThe 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 orchestrationIt enables task execution without human intervention within 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 levels.
• Intelligent analysis of long documentsThe model can process hundreds of pages of long documents such as legal contracts, academic papers, and technical manuals at once, achieving full-text understanding, key information extraction, cross-chapter correlation analysis, and intelligent summary generation.
• Front-end design and developmentThe model supports rapid iteration from concept to working prototype, accelerating the product design and development process.