Zhipu (Z.AI)AdvancedOpen weightAvailable in FlowHunt
GLM-5.3-Flash
GLM-5.3-Flash is an advanced-tier AI model from Zhipu (Z.AI), released in August 2026. It is an open-weight mixture-of-experts model with 320B total and 18B active parameters, released under the MIT licence. The context window is 1M tokens.
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With 18B parameters active per token out of 320B in total, GLM-5.3-Flash keeps the compute per token well below what its total size suggests. The MIT licence allows self-hosting, fine-tuning, and commercial use without per-token API fees.
GLM-5.3-Flash65.8%Mistral Large 4—No scoreClaude Sonnet 5.5—No score
#16of 27Verified
What to Use GLM-5.3-Flash For
Self-Hosted & Private Deployments
GLM-5.3-Flash is open-weight under the MIT licence. Run it on your own GPU hardware or private cloud to keep data in your environment or fine-tune it on proprietary datasets.
Cost-Conscious Serving of a Large Model
Only 18B of its 320B parameters are active per token, which lowers the compute needed for each request compared with a dense model of the same total size.
Long-Document & Codebase Analysis
With a 1M-token context window, it can take in entire repositories, long contracts, or extended histories in a single prompt.
Strengths and limitations
Strengths
+Open weights under the MIT licence
+Mixture-of-experts design with 18B active parameters
+Self-hosted and data-private deployments
+Very long documents and large codebases (1M context)
Limitations
−Self-hosting a 320B-parameter model needs substantial GPU memory
Use it in FlowHunt
Use GLM-5.3-Flash in any flow, next to your own tools and knowledge sources.
About Zhipu (Z.AI)Beijing, China · Founded 2019 · z.ai
Zhipu AI, also branded Z.ai, is a Beijing-based AI company founded in 2019 as a spin-out of Tsinghua University research. It develops the GLM family of models.
GLM-5.3-Flash is an advanced-tier AI model developed by Zhipu (Z.AI) and released in August 2026. It is a mixture-of-experts model with 320B total and 18B active parameters.
GLM-5.3-Flash is an open-weight model released under the MIT licence. Its weights are publicly available for download, self-hosting, and fine-tuning. Note that open-weight is not the same as open-source: the training code and data may not be fully public.
GLM-5.3-Flash supports a 1M-token context window, large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.
Yes — GLM-5.3-Flash is directly available in FlowHunt. You can use it to build AI agents, automated workflows, chatbots, and document processing pipelines without any additional setup.
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