Expired80% confidenceFactTime unknown
GLM-4.6 adopts a Mixture of Experts (MoE) architecture, with a total parameter count of 355 billion, activating approximately 32 billion parameters during inference.
4
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
6/1/2026
First Seen
Valid until: 8/30/2026(expired)
Sources
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Related Claims
UnverifiedGLM-4.7 is a MoE (Mixture of Experts) architecture model with a total parameter count of 358B (358 billion).86% similarUnverifiedHy3 adopts a Mixture of Experts (MoE) architecture with a total parameter count of 295 billion (295B), activating only 21 billion (21B) parameters per inference.78% similarUnverifiedLFM2.5 has 8.3 billion total parameters but only 1.5 billion parameters activated per inference75% similarVerifiedGemma 4's 26B MoE model uses a Mixture of Experts architecture, with 26 billion total parameters but only approximately 4 billion parameters active at any given moment.75% similarUnverifiedThe Zhipu GLM series continuously refined three generations at the 358B parameter scale from GLM4.5 to 4.7, after which GLM5 doubled to 754B.74% similar
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