Introduction
Xiaomi has made a massive splash in the AI landscape with the release of MiMo-V2, a suite of three advanced models: MiMo-V2-Pro (LLM), MiMo-V2-Omni (Omnimodal), and MiMo-V2-TTS (Speech-to-Text). Led by Luo Fuli, a key figure in the development of DeepSeek R1, the MiMo team has delivered a series of models that rival the best in the world across benchmarks and real-world applications.
From a trillion-parameter flagship to an autonomous agent capable of online shopping, the MiMo-V2 release signals Xiaomi's intent to become a primary player in the global AI race.
MiMo-V2-Pro: The Flagship LLM
The MiMo-V2-Pro is the heavyweight of the release. It utilizes a Mixture-of-Experts (MoE) architecture with a staggering 1 trillion parameters in total, of which 42 billion are active during any given inference step.
Key Technical Specifications
- Hybrid Attention: Combines different attention mechanisms for better efficiency and performance.
- 1-Million Token Context: Able to process vast amounts of data in a single session.
- Provenance: Known during testing as "Hunter Alpha" on OpenRouter.
Benchmark Performance
MiMo-V2-Pro has achieved remarkable scores across international and domestic benchmarks:
- Artificial Analysis Intelligence Index: 49 points (8th in the world, 2nd among Chinese LLMs).
- PinchBench: 84.0 (3rd place, immediately following Claude Sonnet 4.6).
- ClawEval: 61.5 (3rd place, outperforming GPT-5.2).
- GDPval-AA (Agent Efficiency): Elo 1434 (the highest score for a Chinese model).
Pricing Structure
Xiaomi has set a competitive pricing tier for the Pro model:
- Standard Context (up to 256K): $1.00 Input / $3.00 Output per million tokens.
- Extended Context (256K to 1M): $2.00 Input / $6.00 Output per million tokens.
MiMo-V2-Omni: The Autonomous Multimodal Agent
The MiMo-V2-Omni model is designed for seamless multimodal interaction. It processes text, images, video, and audio through a unified base with dedicated encoders for each modality.
Multimodal Breakthroughs
- 10+ Hours Audio Processing: Supports continuous audio input in a single request.
- MM-BrowserComp: Scored 52.0, surpassing Gemini 3 Pro.
- GDPval-AA: Elo 1435, also outperforming Gemini 3 Pro.
Real-World Demonstrations
Xiaomi showcased the model's autonomous capabilities in two impressive demos:
- Autonomous Shopping: The model navigated the entire purchase cycle—searching for reviews on Xiaohongshu, comparing prices on JD.com, bargaining with customer support, and completing the order.
- Content Creation: From a single text prompt, the model generated a 15-second multi-scene video, synthesized audio, corrected font rendering errors, and published the result to TikTok.
Pricing: $0.40 Input / $2.00 Output per million tokens.
MiMo-V2-TTS: Advanced Speech Synthesis
The MiMo-V2-TTS model focuses on high-fidelity, emotional speech synthesis. Trained on hundreds of millions of hours of audio and refined through multi-dimensional Reinforcement Learning (RL), it pushes the boundaries of AI voice technology.
Capabilities
- Emotional Expressiveness: Fine-grained emotion control at the sentence level.
- Singing: Maintains pitch and rhythm with high accuracy.
- Dialect Support: Native support for Sichuan, Henan, Cantonese, and Taiwanese dialects.
- Prosody Transformation: Automatically translates punctuation and particles into natural prosody without extra markup.
Special Offer: Available for free for a limited time (TBA).
Conclusion
The release of MiMo-V2 marks a significant milestone for Xiaomi. By combining massive scale (MiMo-V2-Pro), sophisticated multimodal autonomy (MiMo-V2-Omni), and nuanced emotional expression (MiMo-V2-TTS), Xiaomi has provided a comprehensive toolkit for the next generation of AI applications. With Luo Fuli at the helm, the MiMo project is clearly positioned to be a top contender in the rapidly evolving AI ecosystem.
Sources
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