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Figure 1: Xiaomi MiMo-V2.5 310B · diagram by Sebastian Raschka · click to zoom
Sparse omnimodal MoEXiaomi 🇨🇳 · April 22, 2026

Xiaomi MiMo-V2.5 (310B)

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

Key detail

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

Total params

310B

Active / token

15B

Context

1M

Fact sheet

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

Efficiency

Parameters active per token

4.8%

15B of 310B weights run for each token.

KV cache per token (bf16)

144 KiB

Smaller than 34% of models in the atlas. How it’s calculated

AA Intelligence Index v4.3.2

Source

21.8

General
30.4
Scientific
15.5
Coding
21.9
Agents
17.7

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Similar architectures

  • Architecture diagram of Xiaomi MiMo-V2-Flash (309B)

    Xiaomi, released 2025-12-16. Sparse MoE decoder, 309B total, 15B active, 256K context. Attention: 5:1 sliding-window/global attention.

  • Architecture diagram of Xiaomi MiMo-V2.6-Flash-RL (309B)

    Xiaomi, released 2026-09-21. Sparse MoE decoder, 309B total, 15B active, 1M context. Attention: GQA with sliding-window/global attention.

  • Architecture diagram of Motif 3 Beta (314B)

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  • Architecture diagram of MiniMax-M2.5 (230B)

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