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Figure 1: Naive-N0.5-Flash 309B · diagram by Sebastian Raschka · click to zoom
Sparse MoENaiveAI 🇨🇳 · September 27, 2026

Naive-N0.5-Flash (309B)

MiMo-V2.5-derived sparse MoE that replaces its global attention layers with GQA-based DeepSeek Sparse Attention for a native 1M-token context.

Key detail

Pairs a 128-token local window with top-2,048 DSA selection, four DSA KV heads, and a 16-head indexer. Uses 256 routed experts with top-8 routing and no full-attention layers.

Total params

309B

Active / token

16B

Context

1M

Fact sheet

Scale
309B total, 15.5B active (5.0% active)
Context window
1,048,576 tokens
Decoder type
Sparse MoE
Attention
GQA with sliding-window attention and DeepSeek Sparse Attention
Layer mix
39 sliding-window + 9 GQA/DSA
KV cache / token (bf16)
219.75 KiB · High
License
MIT License
Released

Efficiency

Parameters active per token

5.0%

16B of 309B weights run for each token.

KV cache per token (bf16)

219.75 KiB

Smaller than 21% of models in the atlas. How it’s calculated

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