GLM-5.3-Flash
GLM-5.3-Flash is an open-weight language model from Z.ai (Zhipu AI), released on August 26, 2026.
- Developer
- Z.ai (Zhipu AI)
- Released
- August 26, 2026
- Total parameters
- 320B
- Active parameters per token
- 18B
- Architecture
- MoE
- Input
- Text, image
- License
- MIT
- Commercial use
- Yes
- Official weights, GB
- 328.3 GB
- Hugging Face repository
- huggingface.co
- Checked on
GLM-5.3-Flash is a mixture-of-experts model with 320B total parameters, of which 18B are active for each token. The model accepts text and image input. The weights are released under the MIT license, which allows commercial use. The official weights on Hugging Face take about 328 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
- 320B
- Active parameters, billions
- 18B
- License type
- MIT
- License conditions
- MIT: keep the copyright and permission notice.
- Weights precision
- FP8
- Official quantized or alternative versions
- zai-org/GLM-5.3-Flash-BF16 (full precision)
- License text
- huggingface.co
- Sources
Page URL Hugging Face model card https://huggingface.co/zai-org/GLM-5.3-Flash/raw/main/README.md Hugging Face weights index https://huggingface.co/zai-org/GLM-5.3-Flash/raw/main/model.safetensors.index.json GitHub file https://raw.githubusercontent.com/zai-org/GLM-5/main/README.md z.ai announcement https://z.ai/blog/glm-5.3-flash
Questions
What license does GLM-5.3-Flash use?
Can I use GLM-5.3-Flash commercially?
How much memory does GLM-5.3-Flash need?
How many parameters does GLM-5.3-Flash have?
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.