# Zhipu releases GLM-5.3-Flash under MIT license

> A speed-tuned member of the GLM-5.3 family arrives with open weights and mixture-of-experts design aimed at fast, low-cost inference.

Published by The Open Weights on Aug 25, 2026. Canonical: https://theopenweights.com/news/glm-5-3-flash-82hx

## Key facts

- Company: Zhipu AI
- Model: GLM-5.3-Flash
- Version: 5.3-Flash
- Category: Text / LLM
- Modalities: Text / LLM, Vision-Language, Reasoning
- License: MIT (Open weights, commercial use allowed)
- Context window: 1.0M tokens
- Architecture: Glm5NextForConditionalGeneration
- Precision: FP8
- Weights size: 328.3 GB
- Significance: notable
- Published: 2026-08-25
- Last verified: 2026-10-11
- Hugging Face: https://huggingface.co/zai-org/GLM-5.3-Flash
- Canonical URL: https://theopenweights.com/news/glm-5-3-flash-82hx

Zhipu AI has published GLM-5.3-Flash on Hugging Face, a speed-oriented variant of its GLM-5.3 line released under the permissive MIT license. The model ships as an open-weights download, letting developers run and modify it without the usage restrictions attached to many competing releases ([Hugging Face](https://huggingface.co/zai-org/GLM-5.3-Flash)).

The "Flash" designation signals a build tuned for lower latency and cheaper inference rather than maximum capability. It uses a mixture-of-experts (MoE) architecture, which activates only a subset of parameters per token — a common way to hold down compute cost while keeping a large total parameter pool. Zhipu positions the broader GLM-5.3 family as competitive with frontier closed models.

## What's included

- Open weights distributed under the MIT license
- A mixture-of-experts design geared toward fast inference
- Support for text, vision-language, and reasoning tasks

## Why it matters

Fast, permissively licensed models are increasingly where open-source AI competes hardest, since teams often care as much about serving cost and deployment freedom as raw benchmark scores. An MIT-licensed Flash tier lets startups and researchers build on GLM without negotiating commercial terms, and adds to the growing roster of capable Chinese open-weight models challenging the assumption that frontier-adjacent quality requires a closed API. Buyers should confirm exact context length and parameter details on the model card, which the record leaves unspecified.

## Get the model

- [Hugging Face](https://huggingface.co/zai-org/GLM-5.3-Flash)

## Sources

- [zai-org/GLM-5.3-Flash](https://huggingface.co/zai-org/GLM-5.3-Flash) — Hugging Face, Aug 25, 2026

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Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "Zhipu releases GLM-5.3-Flash under MIT license", The Open Weights, Aug 25, 2026, https://theopenweights.com/news/glm-5-3-flash-82hx