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Figure 1: GLM-5.3-Flash · diagram by Sebastian Raschka · click to zoom
Sparse hybridZ.ai 🇨🇳 · August 26, 2026

GLM-5.3-Flash (320B)

Natively multimodal GLM refresh, previously previewed as Ox Alpha, that replaces most MLA/DSA layers with Kimi Delta Attention and adds four-stream mHC.

Key detail

Mixes 34 Kimi Delta Attention layers with 11 MLA/DSA layers and routes residuals through four mHC streams.

Total params

320B

Active / token

18B

Context

1M

Fact sheet

Scale
320B total, 18B active (5.6% active)
Context window
1,048,576 tokens
Decoder type
Sparse hybrid
Attention
3:1 Kimi Delta Attention and MLA with DeepSeek Sparse Attention
Layer mix
34 KDA + 11 MLA/DSA + 1 MTP layer
KV cache / token (bf16)
11 KiB · Very low
License
MIT License
Released

Efficiency

Parameters active per token

5.6%

18B of 320B weights run for each token.

KV cache per token (bf16)

11 KiB

Smaller than 90% of models in the atlas. How it’s calculated

AA Intelligence Index v5.0

Source

27.8

Knowledge Work
43.7
Coding
23.7
Science
12.5
General
30.9

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