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

Xiaomi MiMo-V2-Pro is Xiaomi’s flagship model for the Agent era. It has a total parameter volume of over 1 trillion (activation parameters 42B) and supports 1 million token ultra-long context. The model adopts an innovative hybrid attention architecture, which is specially optimized for complex Agent tasks. OpenClaw , Claude Code It performs top-notch in other agent frameworks, and its performance is close to Claude Opus 4.6 . Ranking eighth in the world’s authoritative large model comprehensive intelligence rankings and second in China, it marks Xiaomi’s major breakthrough in the field of AI and makes cutting-edge intelligence more inclusive.

Key features of Xiaomi MiMo-V2-Pro

• Agent task execution : The model can complete complex workflow orchestration, long-term planning and precise tool invocation without manual intervention, and continuously and reliably deliver the final results.
• Code engineering development : The model has strong system design capabilities and elegant coding style, and can independently complete the entire development process from programming to debugging.
• Multi-turn conversational reasoning : Supports ultra-long contextual memory, can maintain coherent understanding in multiple rounds of interactions, and accurately review historical information to make reasonable inferences.
• Front-end page generation : It can generate web pages with exquisite design and complete functions in one step, taking into account both visual quality and practical usability.
• Tool call integration : Natively adapted to mainstream Agent frameworks such as OpenClaw to achieve efficient cross-platform tool chain collaborative operations.

Technical principles of Xiaomi MiMo-V2-Pro

• Hybrid attention architecture : Adopting an innovative Hybrid Attention mechanism to increase the mixing ratio to 7:1, maintaining a high inference efficiency while maintaining a scale of trillions of parameters, allowing the model to flexibly allocate computing resources to handle tasks of different complexity.
• Multi-token prediction layer : Introducing a lightweight MTP (Multi Token Prediction) layer, which greatly improves the generation speed by predicting multiple subsequent tokens in parallel, reduces reasoning delays, and meets the performance requirements of real-time interaction scenarios.
• Very long context window : Supports 1M token context length, providing structural advantages for long-range dependency modeling, enabling the model to handle complex Agent tasks such as large-scale code bases and long documents without losing key information.
• Post-training Scaling : Conduct continuous post-training optimization in a wide range of Agent scenarios, strengthen tool calling and multi-step reasoning capabilities through SFT and RL, and realize the capability jump from “answering questions” to “completing tasks”.

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

• Model positioning : Large model of the flagship base for the Agent era
• total parameters : More than 1T (1 trillion)
• activation parameters :42B
• context window : 1M (1 million tokens)
• core architecture : Hybrid Attention (7:1 mix ratio) + lightweight MTP layer
• Performance ranking ：Artificial Analysis Ranked eighth in the world and second in China
• Benchmark level : Close to Claude Opus 4.6, surpassing Claude Sonnet 4.6
• API pricing : Only 1/5 of Claude Opus 4.6
• Internal beta code ：Hunter Alpha (once launched OpenRouter anonymously, with call volume exceeding 1T tokens)
• Hardware environment : It needs to be called through API. Local deployment requires extremely high computing power (1T parameter scale). It is officially recommended to use the cloud API service without local configuration.
• Software access : Natively supports mainstream Agent frameworks such as OpenClaw and Claude Code, provides standard API interfaces, and is compatible with existing development tool chains.

Core advantages of Xiaomi MiMo-V2-Pro

• Agent capability is leading : Specifically optimized for complex Agent scenarios, it performs top-notch in frameworks such as OpenClaw and Claude Code. It can realize complex workflow orchestration, long-term planning and precise tool invocation without manual intervention, evolving from “answering questions” to “completing tasks”.
• Very long context handling : The model supports a 1M token ultra-long context window and can easily handle complex tasks such as large-scale code bases and long documents. It has structural advantages in long-term dependency modeling and enables accurate information backtracking and reasoning across time.
• Extremely cost-effective : The performance is close to Claude Opus 4.6, surpassing Sonnet 4.6, and the API pricing is only 1/5 of it, significantly lowering the threshold for using cutting-edge intelligence, making top Agent capabilities more inclusive.
• Efficient reasoning architecture : The model uses a 7:1 mixing ratio Hybrid Attention architecture and a lightweight MTP layer to maintain high inference efficiency even at a scale of trillions of parameters, achieving a low-latency, high-throughput generation experience.
• Full stack ecological adaptation : It natively supports mainstream Agent frameworks and deeply collaborates with tool chains such as OpenClaw. It can be quickly integrated into existing development environments and generate usable code and exquisite front-end pages in one step.

How to use Xiaomi MiMo-V2-Pro

• Get access : Developers can visit https://platform.xiaomimimo.com to register a developer account, complete the real-name authentication and apply for an API key. If approved, they can obtain the official calling qualification.
• Try Agent capabilities for free : Visit the official model experience page https://aistudio.xiaomimimo.com and use the MiMo Claw function to experience the core capabilities of MiMo-V2-Pro with zero threshold. You can intuitively experience its task execution and tool calling performance without writing code.

Comparison of similar competing products of Xiaomi MiMo-V2-Pro

Dimensions	Xiaomi MiMo-V2-Pro	Claude Opus 4.6	DeepSeek V3.2
total parameters	1T+	Undisclosed	671B
activation parameters	42B	Undisclosed	37B
context window	1M	200K	128K
Agent capabilities	Specifically optimized for Agent, natively supported by OpenClaw	Top general capabilities, Agent requires additional configuration	Strong reasoning ability, Agent ecosystem is under construction
Coding ability	Close to Opus 4.6, elegant system design	Industry benchmark, first choice for complex projects	Strong, outstanding in mathematics and logic
API pricing	Opus 4.6 1/5	High-end pricing	Extremely low pricing
Open source strategy	May be open source in the future	Closed source	Open source
Core advantages	Ultra-long context + ultimate cost performance + Agent native	The strongest comprehensive ability, stable and reliable	The cost of reasoning is extremely low and the community is active

Application scenarios of Xiaomi MiMo-V2-Pro

• Intelligent programming development : The model supports the automation of the entire process of complex code engineering, from requirement analysis, architecture design to code generation and debugging. It can handle large-scale code bases and is suitable for enterprise-level software development and legacy system reconstruction.
• Automated workflow orchestration : Realize task execution without manual intervention in Agent frameworks such as OpenClaw, and automatically complete multi-step business processes, such as data processing, report generation, cross-system collaboration, etc., significantly improving office efficiency and business automation levels.
• Intelligent analysis of long documents : The model can process hundreds of pages of long documents such as legal contracts, academic papers, and technical manuals at one time, achieving 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. ©