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GLM

by Zhipu AI · Website

Zhipu AI's GLM family of flagship reasoning models — roughly 750B parameter MoE architectures with 40B active parameters per token, released under MIT license. GLM-5.1 advanced long-horizon autonomous task capabilities, and GLM-5.2 (June 2026) added a usable 1M-token context with IndexShare sparse attention, posting frontier-class coding results. Their massive size means local use requires 512 GB-class hardware or aggressive quantization; most users run them via cloud tags.

Variants (3)

Smallest:GLM-5 (744B)
Largest:GLM-5.1 (754B)

GLM-5

744B

Zhipu AI

Min 300 GB
text-generationcode-generationreasoning

GLM-5.2

753B

Zhipu AI

Min 274 GB
text-generationcode-generationreasoning

GLM-5.1

754B

Zhipu AI

Min 305 GB
text-generationcode-generationreasoning