What is Xiaomi MiMo-V2-Omni
Xiaomi MiMo-V2-Omni is an omni-modal Agent foundation model launched by Xiaomi, integrating the three major modalities of text, vision, and speech, and natively possessing perception, reasoning, and execution capabilities. The model supports tool calling, GUI operation, and autonomous planning for complex tasks, and in evaluations such as audio understanding and image reasoning it is comparable to Gemini 3 Pro and Claude Opus 4.6. The model was once anonymously tested under the codename "Healer Alpha," topped the OpenRouter usage rankings, and has now become Xiaomi's core AI infrastructure for the Agent era.
Main Features of Xiaomi MiMo-V2-Omni
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Omni-Modal Perception: The model integrates the three major modalities of text, vision, and audio, enabling image understanding, video analysis, 10+ hour long audio processing, and cross-modal joint reasoning.
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Agent Execution Capabilities: Natively supports tool calling, GUI operation, and autonomous task planning, and can formulate strategies, make real-time corrections, and deliver complete results end-to-end.
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Complex Scenario Applications: Covers real digital environment interaction tasks such as web browsing, code engineering, and front-end development.
Technical Principles of Xiaomi MiMo-V2-Omni
- Unified Omni-Modal Architecture: Builds a foundation model from the ground up that integrates text, vision, and speech, achieving native multimodal representation through a unified encoder and fusion layer, rather than post-hoc modality concatenation.
- Deep Perception-Action Binding: Breaks the limitations of traditional models that "emphasize understanding and neglect execution," and through end-to-end training unifies and internalizes perception capabilities with action capabilities such as tool calling and GUI operation, achieving a leap from understanding to control.
- Video Pretraining and Long Context: Adopts an innovative video pretraining method to achieve joint audio-visual understanding, supports ultra-long context modeling, and provides structural advantages for complex Agent tasks.
Key Information and Usage Requirements of Xiaomi MiMo-V2-Omni
- Publisher: Xiaomi Technical Team
- Release Date: March 19, 2026
- Beta Codename: Healer Alpha (once anonymously listed on OpenRouter)
- Model Scale: Omni-modal fusion architecture (text + vision + audio)
- Context Window: Supports long-sequence modeling (refer to the Pro version in the same series, which reaches 1M)
- Benchmark Ranking: First in PinchBench average score, topped OpenRouter usage volume
- Access Method: Called via APIs on platforms such as OpenRouter, and can seamlessly integrate with mainstream Agent frameworks such as OpenClaw
- Hardware/Environment: Cloud deployment, no local configuration required; supports multimodal input (image, video, audio files, or streams)
Core Advantages of Xiaomi MiMo-V2-Omni
- Native Omni-Modal Fusion: Builds a unified architecture for text, vision, and audio from the ground up, achieving true cross-modal understanding and joint reasoning, rather than simple concatenation.
- Integrated Perception and Action: Breaks the limitation of "emphasizing understanding and neglecting execution," natively internalizes capabilities such as tool calling and GUI operation, and forms the compound advantage of "the more accurate the perception, the more effective the action."
- Ultra-Long Context Support: Supports a million-level context window, providing structural advantages when processing long videos, long audio, and complex multi-turn Agent tasks.
- Real-World Scenario Validation: Anonymously tested as Healer Alpha, topped OpenRouter in call volume and won first place on PinchBench, validated by both the market and benchmarks.
- Seamless ecosystem integration: Can be quickly integrated withOpenClawand other mainstream Agent frameworks, significantly lowering the barrier to deploying full-modal Agents.
How to use Xiaomi MiMo-V2-Omni
Developers can visit https://platform.xiaomimimo.com to register and obtain an API key, and call the interface according to the pricing (input $0.4/million tokens, output $2/million tokens).
Comparison of Xiaomi MiMo-V2-Omni with similar competitors
| Evaluation dimension | MiMo-V2-Omni | Gemini 3 Pro | Claude Opus 4.6 |
|---|---|---|---|
| MMAU-Pro (audio understanding) | 69.4 | 67.0 | – |
| MMMU-Pro (image understanding) | 76.8 | 81.0 | 73.9 |
| Video-MME (video understanding) | 85.3 | 88.4 | – |
| CharXiv RQ (chart understanding) | 80.1 | 81.4 | 77.4 |
| FutureOmni (future prediction) | 66.7 | 62.9 | 60.3 |
| MM-BrowserComp (web browsing) | 52.0 | 37.2 | 59.3 |
| OmniGAIA (multimodal perception) | 49.8 | 62.5 | 59.7 |
| Claw Eval (complex interaction) | 54.8 | 51.9 | 66.3 |
| PinchBench (Agent comprehensive) | 85.6 | 75.0 | 86.3 |
Application scenarios of Xiaomi MiMo-V2-Omni
- Multimodal content understanding: The model supports 10+ hours of long video analysis, complex chart parsing, and cross-modal information association reasoning, achieving joint deep understanding of audio and video.
- Agent task execution: The model can autonomously complete tasks such as web browsing, code engineering, and front-end development, and can generate exquisitely designed and fully functional web pages with zero-shot.
- GUI automation operations: Directly controls the graphical interface, supporting strategy planning in multi-turn conversations, real-time correction, and autonomous invocation of toolchains.
- Enterprise-level long document processing: Relying on a 256K context window, the model completes long document analysis, report generation, and decision support for automated office workflows.