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Figure 31: Qwen3.5 397B · diagram by Sebastian Raschka · click to zoom
Sparse hybridAlibaba Cloud 🇨🇳 · February 16, 2026

Qwen3.5 (397B)

Mainline Qwen refresh that brings the Next-style hybrid attention into the flagship series.

Key detail

Turns the former Qwen3-Next side branch into the new core design with 512 experts and 17B active parameters.

Total params

397B

Active / token

17B

Context

256K

Fact sheet

Scale
397B total, 17B active (4.3% active)
Context window
262,144 tokens
Decoder type
Sparse hybrid
Attention
3:1 Gated DeltaNet and Gated Attention
Layer mix
15 gated attention + 45 DeltaNet
KV cache / token (bf16)
30 KiB · Low
License
Apache License 2.0
Released

Efficiency

Parameters active per token

4.3%

17B of 397B weights run for each token.

KV cache per token (bf16)

30 KiB

Smaller than 74% of models in the atlas. How it’s calculated

AA Intelligence Index v4.3.2

Source

21.4

Scientific
10.3

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