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GLM-5.3

GLM-5.3 is an open-weight language model from Z.ai (Zhipu AI), released on August 14, 2026.

Developer
Z.ai (Zhipu AI)
Released
August 14, 2026
Total parameters
744B
Active parameters per token
40B
Architecture
MoE
Input
Text
License
GLM-5.3 License
Commercial use
Yes, with conditions
Official weights, GB
755.4 GB
Hugging Face repository
huggingface.co
Checked on

GLM-5.3 is a mixture-of-experts model with 744B total parameters, of which 40B are active for each token. The model takes text input. The weights are released under the GLM-5.3 License. Commercial use is allowed with conditions. Model-as-a-service operators with group revenue above US$10 billion over 12 months must pass a security review by Z.ai before commercial use.

The official weights on Hugging Face take about 755 GB in FP8. Running the model needs at least that much memory across GPUs and system RAM, plus room for the context cache; quantized versions need less.

Total parameters, billions
744B
Active parameters, billions
40B
License type
Custom license
License conditions
Model-as-a-service operators with group revenue above US$10 billion over 12 months must pass a security review by Z.ai before commercial use.
Weights precision
FP8
Official quantized or alternative versions
zai-org/GLM-5.3-BF16 (full precision)
License text
huggingface.co
Sources
PageURL
Hugging Face model cardhttps://huggingface.co/zai-org/GLM-5.3/raw/main/README.md
License text on Hugging Facehttps://huggingface.co/zai-org/GLM-5.3/raw/main/LICENSE
Hugging Face APIhttps://huggingface.co/api/models/zai-org/GLM-5.3?expand=safetensors
GitHub filehttps://raw.githubusercontent.com/zai-org/GLM-5/main/README.md
z.ai announcementhttps://z.ai/blog/glm-5.3

Questions

What license does GLM-5.3 use?
The weights are released under the GLM-5.3 License.
Can I use GLM-5.3 commercially?
Yes, with conditions. Model-as-a-service operators with group revenue above US$10 billion over 12 months must pass a security review by Z.ai before commercial use.
How much memory does GLM-5.3 need?
The official GLM-5.3 weights take about 755 GB (FP8); a full-precision BF16 version is also published. Running the model needs at least that much memory across GPUs and system RAM, plus room for the context cache. The memory calculator checks which setups fit.
How many parameters does GLM-5.3 have?
GLM-5.3 is a mixture-of-experts model with 744B total parameters, of which 40B are active for each token.

Sources

Every figure comes from the developer’s model card, license text and official announcements, and from the model’s Hugging Face repository metadata. Each model page lists its sources and the date they were checked; the register is rechecked every week.

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