# Xiaomi MiMo-V2.6-Pro-RL (1.02T)

> Omnimodal sparse MoE model with the MiMo-V2.5-Pro text backbone, mixed-domain reinforcement learning, and a five-layer DFlash speculative decoder.

| Property | Value |
| --- | --- |
| Lab | Xiaomi (China) |
| Released | 2026-09-21 |
| Decoder type | Sparse omnimodal MoE |
| Family | Sparse MoE |
| Scale | 1.02T total, 42B active (4.1% active) |
| Context window | 1,048,576 tokens |
| Attention | GQA with 6:1 sliding-window/global attention |
| Layer mix | 60 sliding-window + 10 global |
| KV cache / token (bf16) | 350 KiB (Very high) |
| License | MIT License |

**Key detail:** Uses 384 routed experts with top-8 routing, one dense prefix layer, no shared experts, and a 128-token sliding window.

## Architecture concepts

- [Grouped-Query Attention (GQA)](https://llm-atlas-7or.pages.dev/concepts/gqa.md): Several query heads share one key/value head, shrinking the KV cache with little quality loss.
- [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 v5.0: total 29.9 (Knowledge Work 45.9, Coding 28.3, Science 17, General 28)
- AA Intelligence Index v4.3.2: total 46.3 (General 42.3, Scientific 38, Coding 47.9, Agents 54.9)

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/mimo-2.6-pro.webp
- config.json: https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL/blob/main/config.json
- Tech report: https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Pro-RL/resolve/main/MiMo_V2_6_technical_report.pdf
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-xiaomi-mimo-v2-6-pro-rl-1-02t
- Web page: https://llm-atlas-7or.pages.dev/models/xiaomi-mimo-v2-6-pro-rl-1-02t/
- JSON: https://llm-atlas-7or.pages.dev/api/models/xiaomi-mimo-v2-6-pro-rl-1-02t.json

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