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Figure 56: GLM-5 744B · diagram by Sebastian Raschka · click to zoom
Sparse MoEZ.ai 🇨🇳 · February 11, 2026

GLM-5 (744B)

Huge GLM refresh that adopts both MLA and DeepSeek Sparse Attention for flagship-scale inference.

Key detail

Bigger than GLM-4.7, with more experts, fewer layers, and DeepSeek-style MTP.

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

21.8

Scientific
3.8

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Similar architectures

  • Architecture diagram of GLM-5.1 (744B)

    Z.ai, released 2026-04-07. Sparse MoE decoder, 744B total, 40B active, 198K context. Attention: MLA with DeepSeek Sparse Attention.

  • Architecture diagram of Tencent Hy4-preview (770B-A49B)

    Tencent, released 2026-08-28. Sparse MoE decoder, 770B total, 49B active, 1M context. Attention: Gated MLA with DeepSeek Sparse Attention and IndexCache.

  • Architecture diagram of DeepSeek V3.2 (671B)

    DeepSeek, released 2025-12-01. Sparse MoE decoder, 671B total, 37B active, 128K context. Attention: MLA with DeepSeek Sparse Attention.

  • Architecture diagram of DeepSeek V4-Pro (1.6T)

    DeepSeek, released 2026-04-24. Sparse MoE decoder, 1.6T total, 49B active, 1M context. Attention: MLA-style CSA/HCA with mHC.

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