Model Releases
Xiaomi MiMo V2 Flash: The Open-Source Reasoning Powerhouse
Xiaomi releases MiMo V2 Flash, a 309B MoE reasoning model optimized for math and code, challenging GPT-5 benchmarks at a fraction of the cost.
December 16, 2025
Model ReleaseMiMo V2 Flash
Introduction
On December 16, 2025, Xiaomi stunned the global AI community with the official release of MiMo V2 Flash, marking a significant milestone in their foundation AI strategy. Unlike previous iterations that focused on general chat capabilities, this new model is explicitly engineered for high-speed reasoning, mathematical problem-solving, and complex code generation. As part of the expanding MiMo-V2 family, which includes the flagship 1-trillion parameter Pro model, the Flash variant prioritizes efficiency without sacrificing intelligence.
This release signals Xiaomi's serious intent to compete directly with Western tech giants like OpenAI and Anthropic. By opening the weights of MiMo V2 Flash, the company aims to empower developers to build agentic systems within the Human X Car X Home ecosystem. The model's architecture is designed to handle the rigorous demands of enterprise software engineering and scientific computing, positioning it as a critical tool for the next generation of autonomous agents.
What makes this announcement particularly noteworthy is the balance between performance and accessibility. While the Pro version pushes the boundaries of raw parameter count, the Flash model delivers comparable reasoning capabilities through a more efficient sparse architecture. This approach ensures that developers can deploy high-level reasoning tasks on standard hardware clusters, democratizing access to enterprise-grade AI capabilities.
- Release Date: December 16, 2025
- Provider: Xiaomi AI Lab
- License: Open Source
- Primary Focus: Reasoning and Code Generation
Key Features & Architecture
At the core of MiMo V2 Flash lies a sophisticated Mixture of Experts (MoE) architecture comprising 309 billion parameters. This design allows the model to activate only the necessary experts for specific tasks, significantly reducing inference latency and computational costs compared to dense models. The architecture is optimized for sparse activation, ensuring that the model remains lightweight during deployment while maintaining the capacity for complex logical deductions.
The model features a massive context window of 128,000 tokens, enabling it to process extensive documentation, multi-file codebases, and long-form technical reports in a single pass. Additionally, MiMo V2 Flash supports multimodal inputs, allowing it to interpret diagrams and mathematical formulas alongside text. This capability is crucial for engineering applications where visual data often accompanies textual specifications.
Xiaomi has emphasized the model's efficiency in their recent partner conference, highlighting its ability to run on consumer-grade GPUs with minimal overhead. The open-source nature of the release means that the community can inspect the weights and fine-tune the model for specific verticals, fostering a collaborative ecosystem around Xiaomi's hardware and software stack.