Xiaomi Launches MiMo-V2-Flash: A Game-Changer in AI Models
Summary:
- Xiaomi’s MiMo-V2-Flash model, with 309 billion total parameters, is designed for superior AI performance.
- The model’s innovative architecture allows for efficient reasoning, surpassing many open-source counterparts.
- Users can experience this cutting-edge technology through the Xiaomi MiMO Studio online chat service.
On December 16, Xiaomi unveiled its latest breakthrough in artificial intelligence: the Xiaomi MiMo-V2-Flash, a state-of-the-art open-source MoE (Mixture of Experts) model. Boasting an impressive total of 309 billion parameters with 15 billion active parameters, this model is designed specifically for optimal performance in intelligent AI applications.
Innovative Architecture
Xiaomi’s MiMo-V2-Flash utilizes a unique hybrid architecture that combines Global Attention and Sliding Window Attention (SWA) in a 1:5 ratio. This configuration includes a 128-window size and features both native 32K and external 256K training capabilities. This design allows the model to maintain competitive performance across various AI benchmarks, positioning it among the top two global open-source models.
Notably, the MiMo-V2-Flash excels in code generation capabilities, surpassing all existing open-source models and rivaling flagship closed-source models, such as Claude 4.5 Sonnet. It achieves this while maintaining a reasoning cost that is a mere 2.5% of its competitors, effectively doubling generation speed and hallmarks in efficiency.
Experience and Accessibility
Xiaomi also launched the Xiaomi MiMO Studio, an online AI chat service that allows users to interact with the MiMo-V2-Flash model directly. This platform offers in-depth search functions and innovative network searching capabilities, enabling users to explore the full potential of this advanced AI technology.
Accessing the MiMO Studio is straightforward, with the service designed for user-friendliness, making cutting-edge AI technology accessible to everyone.
Open Source Commitment
A defining feature of the Xiaomi MiMo-V2-Flash is its commitment to openness and innovation. Both the model weights and inference code are fully open-sourced under the MIT license, allowing developers and researchers worldwide to harness its capabilities for their projects. The API pricing is competitive: $0.1 for input tokens and $0.3 for output tokens, with the API being free for a limited time as part of Xiaomi’s promotional strategy.
Conclusion
Xiaomi’s MiMo-V2-Flash represents a significant advancement in artificial intelligence technology, blending efficiency, speed, and accessibility into an open-source format. With its innovative architecture and user-friendly platform, Xiaomi continues to position itself as a leader in the AI landscape, ready to empower users and developers alike.
For more information on Xiaomi’s products and updates, keep an eye on their official website.
By emphasizing the model’s high performance, innovative technology, and open-source nature, this article provides an overview of the Xiaomi MiMo-V2-Flash that is not only informative but also optimized for search engines, ensuring visibility and engagement.
This article highlights Xiaomi’s commitment to innovation while ensuring clarity and accessibility for a wide audience interested in AI advancements.
