Recently, on May 2, 2025, Xiaomi launched its first open-source LLM (Large Language Model) named MiMo-7B AI Model. This model is specifically designed for reasoning and coding tasks. Xiaomi claims that this model is surpassing the likes of OpenAI and Alibaba in challenging tasks like math and coding. In this article, we will give you a detailed overview of Xiaomi MiMo-7B’s features, performance, technology, and its different versions. Let’s dive into the details.
What is Xiaomi MiMo-7B?
Xiaomi’s MiMo-7B is a 7 billion parameter LLM developed by the Big Model Core Team. It is fully open-source and available on Hugging Face and GitHub. Its primary purpose is to tackle reasoning-heavy and code-generation tasks. Let’s now look at its main features.
Xiaomi MiMo AI Key Features:
- A compact yet powerful AI model with 7B parameters
- Outperforms OpenAI and Alibaba in mathematical reasoning and coding
- Trained on 25 trillion tokens
- Utilizes multiple-token prediction technology
- Available in four different versions
How was Xiaomi MiMo-7B Trained?
1. Data and Training Process:
- Xiaomi trained MiMo-7B on 200 billion reasoning tokens and a total of 25 trillion tokens in three phases.
- Instead of standard next-token prediction, it used multiple-token prediction, reducing inference time while maintaining output quality.
2. Post-Training Techniques:
- Test Difficulty Driven Reward: A reinforcement learning algorithm that rewards better performance on difficult questions.
- Easy Data Re-Sampling: Used to stabilize training.
3. Infrastructure Improvements:
- Seamless Rollout System: Implemented to reduce GPU downtime, leading to 2.29x faster training and 2x improved validation performance.
It is noteworthy that in coding competitions like LiveCodeBench, MiMo-7B can achieve top positions with a 57.8% score, making it highly competitive and practical.
Xiaomi MiMo-7B Performance Comparison (Benchmarks)
| Model Version | MATH-500 (%) | AIME 2024 (%) | LiveCodeBench v5 (%) | LiveCodeBench v6 (%) |
|---|---|---|---|---|
| MiMo-7B-RL | 95.8 | 68+ | 57.8 | ~50 |
| OpenAI o1-mini | ~90 | ~63 | ~50 | ~42 |
| Alibaba Qwen-32B | ~93 | ~65 | ~54 | ~47 |
When comparing the performance of these model versions, it’s clear that Xiaomi’s MiMo-7B RL version outperforms all major contenders, especially in math and coding.
What are the Four Versions of Xiaomi MiMo-7B?
Xiaomi’s MiMo-7B comes in four versions, tailored for different uses and performance levels:
- Base: A raw pre-trained model, not fine-tuned for any specific task.
- SFT (Supervised Fine-Tuning): Fine-tuned with supervised data to deliver more accurate and useful responses.
- RL-Zero: Built from the Base version using Reinforcement Learning techniques.
- RL: Based on the SFT model, this version has undergone additional tuning and reward-based training. It offers the highest accuracy and excels in tasks like math and coding.
What Makes MiMo-7B Special?
Xiaomi’s MiMo-7B stands out as a compact yet powerful model specifically designed for complex tasks like reasoning and code generation. Its biggest highlight is that despite having only 7 billion parameters, it rivals giant models from companies like OpenAI in math and coding. Xiaomi trained the model on 25 trillion tokens and incorporated advanced techniques like multiple-token prediction to reduce inference time while preserving output quality.
Moreover, MiMo-7B benefits from modern algorithms like reinforcement learning and infrastructure optimization, boosting its training speed by 2.29x and nearly doubling validation performance. With four versions available, developers can choose based on their specific needs. Its open-source nature makes it highly valuable for researchers and developers who want to customize it for their own projects.
Conclusion
Xiaomi has introduced its first open-source LLM, MiMo-7B, crafted especially for complex tasks such as reasoning and coding. Despite having only 7 billion parameters, it rivals even the larger models in performance. Trained on 25 trillion tokens across three phases, it employs advanced multiple-token prediction technology. Xiaomi has implemented several new techniques to enhance training and validation.
The model is available in four versions – Base, SFT, RL-Zero, and RL. MiMo-7B has surpassed OpenAI and Alibaba models in various benchmark tests. It is open-source and available for download on Hugging Face and GitHub.
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