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Figure 1: GLM-5.2 · diagram by Sebastian Raschka · click to zoom
Sparse MoEZ.ai 🇨🇳 · June 17, 2026

GLM-5.2 (744B)

Long-context GLM refresh that keeps the 744B sparse MoE backbone and adds IndexShare for 1M-token DSA inference.

Key detail

Reuses each full DSA indexer result across the next three layers, making 1M-token sparse attention cheaper.

Total params

744B

Active / token

40B

Context

1M

Fact sheet

Scale
744B total, 40B active (5.4% active)
Context window
1,048,576 tokens
Decoder type
Sparse MoE
Attention
MLA with DeepSeek Sparse Attention and IndexShare
Layer mix
78 MLA/DSA
KV cache / token (bf16)
87.8 KiB · Moderate
License
MIT License
Released

Efficiency

Parameters active per token

5.4%

40B of 744B weights run for each token.

KV cache per token (bf16)

87.8 KiB

Smaller than 47% of models in the atlas. How it’s calculated

AA Intelligence Index v4.3.2

Source

33.7

General
36.9
Scientific
31
Coding
26.1
Agents
37.5

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