Skip to content

MiMo-V2.5

Verified

MiMo-V2.5 processes extended multimodal sequences across text, audio, image, and video.

XiaomiMultimodalClosed
Model page Updated 2026-06-14

About MiMo-V2.5

MiMo-V2.5 employs a unified architecture that ingests and aligns four distinct modalities in a single forward pass. Its 1M-token context enables retention of information across lengthy documents, recordings, or video timelines without truncation. Xiaomi designed the system as a proprietary offering, keeping model weights unavailable to the public.

Key strengths lie in maintaining coherence when text, audio transcripts, visual frames, and video segments must be reasoned over together. The large context window supports tasks where distant references within the same media stream remain relevant. Integration of all modalities reduces the need for separate specialized pipelines.

Common applications include summarizing multi-hour video lectures with synchronized slides and narration. It can also transcribe and analyze extended audio conversations while referencing accompanying images or documents. Enterprise users deploy it for media monitoring, content indexing, and cross-modal retrieval at scale.

Capabilities

Long-context reasoning
Multimodal understanding
Video content analysis
Audio processing and transcription
Image interpretation
Cross-modal integration

Best for

Extended video content review

MiMo-V2.5 excels at analyzing long videos by combining visual interpretation with audio transcription and cross-modal reasoning to produce integrated summaries.

Large-scale multimodal document processing

The model handles lengthy documents containing text, images, and diagrams through its 1M-token context window and long-context reasoning capabilities.

Audio-visual query resolution

It supports real-time integration of audio processing, image interpretation, and multimodal understanding to answer complex questions spanning multiple data types.

Strengths & limitations

Strengths

  • +Native support for text, audio, image and video
  • +Very large context window for extended inputs
  • +Unified handling of multiple modalities
  • +Suitable for complex multimedia tasks

Limitations

  • High computational demands for full context
  • Limited transparency on real-world performance
  • Potential speed trade-offs with multimodal inputs

Where to access MiMo-V2.5

Frequently asked questions

Specific pricing details for MiMo-V2.5 are not provided in the model specifications.

Similar models

Other multimodal worth comparing.