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Figure 1: GLM-5.1 · diagram by Sebastian Raschka · click to zoom
Sparse MoEZ.ai 🇨🇳 · April 7, 2026

GLM-5.1 (744B)

Post-trained GLM refresh that keeps the GLM-5 backbone intact but targets stronger long-horizon agentic coding.

Key detail

Architecture stays aligned with GLM-5, including its MTP-capable backbone; the main shift is post-training.

Total params

744B

Active / token

40B

Context

198K

Fact sheet

Scale
744B total, 40B active (5.4% active)
Context window
202,752 tokens
Decoder type
Sparse MoE
Attention
MLA with DeepSeek Sparse Attention
Layer mix
78 MLA
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

26.1

General
34.7
Scientific
17.3
Coding
23.4
Agents
25.3

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