# Xiaomi MiMo-V2.5 (310B)

> Omnimodal sparse MoE model that extends the MiMo-V2-Flash backbone with vision and audio encoders.

| Property | Value |
| --- | --- |
| Lab | Xiaomi (China) |
| Released | 2026-04-22 |
| Decoder type | Sparse omnimodal MoE |
| Family | Sparse MoE |
| Scale | 310B total, 15B active (4.8% active) |
| Context window | 1,048,576 tokens |
| Attention | 5:1 sliding-window/global attention |
| Layer mix | 39 sliding-window + 9 global |
| KV cache / token (bf16) | 144 KiB (Moderate) |
| License | MIT License |

**Key detail:** Adds native image, video, and audio encoders to the MiMo-V2-Flash-style sparse MoE backbone with MTP support.

## Architecture concepts

- [Sliding Window Attention (SWA)](https://llm-atlas-7or.pages.dev/concepts/swa.md): Some layers only attend to a local window of recent tokens instead of the whole context.
- [Mixture of Experts (MoE)](https://llm-atlas-7or.pages.dev/concepts/moe.md): Many feed-forward experts, but a router sends each token to only a few of them.
- [Multi-Token Prediction (MTP)](https://llm-atlas-7or.pages.dev/concepts/mtp.md): Extra heads learn to predict several future tokens, and can draft tokens at inference.

## Benchmark (Artificial Analysis Intelligence Index)

- AA Intelligence Index v4.3.2: total 21.8 (General 30.4, Scientific 15.5, Coding 21.9, Agents 17.7)

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/xiaomi-mimo-v2-5-310b.webp
- config.json: https://huggingface.co/XiaomiMiMo/MiMo-V2.5/blob/main/config.json
- Tech report: https://mimo.xiaomi.com/mimo-v2-5
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-xiaomi-mimo-v2-5-310b
- Web page: https://llm-atlas-7or.pages.dev/models/xiaomi-mimo-v2-5-310b/
- JSON: https://llm-atlas-7or.pages.dev/api/models/xiaomi-mimo-v2-5-310b.json

_Data from Sebastian Raschka's LLM Architecture Gallery (https://sebastianraschka.com/llm-architecture-gallery/). Synced 2026-11-04._