Xiaomi Releases MiMo-v2.5 Series Model Weights

Xiaomi Open-Sources MiMo-v2.5 with Major Leaps in Coding and Agent Capabilities

Xiaomi has officially released and open-sourced the MiMo-v2.5 series large language model weights, representing a significant iterative upgrade following the original MiMo model. The new version demonstrates highly competitive performance in coding and agent-related benchmarks, drawing widespread attention across the industry.

Core Highlights: Dual Breakthroughs in Coding and Agent Capabilities

The most notable feature of the MiMo-v2.5 series is its remarkable improvement in code generation and agent tasks. According to evaluation data published by Xiaomi, MiMo-v2.5 achieved outstanding results across multiple mainstream coding benchmarks, demonstrating deep understanding of complex code logic and high-quality code generation capabilities.

On the agent benchmark front, MiMo-v2.5 performed equally impressively. The model achieved substantial improvements across core agent capability dimensions including tool calling, multi-step reasoning, and task planning, meaning it is better equipped to handle real-world application scenarios such as automated workflows and intelligent assistants.

As a model family, the MiMo-v2.5 series offers versions in multiple parameter sizes, allowing developers to choose flexibly based on their computing resources and application requirements. This full-family open-source strategy effectively lowers the barrier to adoption.

Xiaomi's AI Large Model Strategy Continues to Accelerate

From the original MiMo to MiMo-v2.5, Xiaomi's iteration speed in the large language model space is clearly accelerating. Xiaomi has already deeply integrated AI capabilities into its core businesses including smartphones, smart home devices, and smart vehicles, and the continued evolution of the MiMo series will provide more powerful underlying intelligence support for these scenarios.

Notably, Xiaomi chose to release the model weights in an open-source manner, a strategy highly consistent with the current global trend in open-source large models. Through open-sourcing, Xiaomi can not only attract more developers to participate in ecosystem building but also leverage community efforts to accelerate model optimization and real-world deployment.

Industry Landscape: Competition Among Domestic Open-Source Models Intensifies

Competition in China's open-source large model arena is currently exceptionally fierce. Alibaba's Qwen series, the DeepSeek series, Zhipu AI's GLM series, and others are all undergoing continuous iteration, with each company constantly setting new benchmarks in areas such as mathematical reasoning, code generation, and multimodal understanding. Xiaomi's decision to focus MiMo-v2.5 on coding and agent capabilities as key breakthrough areas reflects a differentiated competitive strategy.

As agent technology has become one of the core hotspots in AI for 2025, models with strong agent capabilities are poised to gain first-mover advantages in enterprise applications, office automation, and software development scenarios. Xiaomi's timing in launching MiMo-v2.5 with outstanding agent capabilities demonstrates considerable strategic foresight.

Future Outlook

With the release of MiMo-v2.5, Xiaomi's technical reserves and ecosystem positioning in the AI large model space are steadily maturing. Looking ahead, the MiMo series is expected to further integrate deeply with Xiaomi's "Person-Vehicle-Home" full ecosystem, unlocking greater value in on-device deployment, personalized intelligent services, and other areas. For the developer community, the emergence of a strong coding and agent-capable open-source model will undoubtedly open up more possibilities for innovative applications.