What can I use GLM-5.3-Flash for?

Send a picture together with a question and read a written answer about it; Ask a text question in a chat and set reasoning effort to low, high or max to choose how much the model thinks before it replies

Can I run GLM-5.3-Flash on my computer?

At about 320 billion parameters in total (18 billion active), it needs a multi-GPU server, not a desktop or laptop. The source does not say how much GPU memory or what hardware is needed to host it.

What do I need to use GLM-5.3-Flash?

MIT license and not gated. To host it yourself, use one of the frameworks the source lists, such as SGLang, vLLM or Transformers.

What license does GLM-5.3-Flash use?

The model is MIT licensed and not gated. MIT license and not gated.

GLM-5.3-Flash: Ask questions about images and text (320B)

Model details

Original model zai-org/GLM-5.3-Flash

Understand images/documentsWrite & reason

Input Image or text Output Text

Follow the model card setup Use through the Z.ai API

Ways to use it Run locally · Use through an API

Creator exampleSee the source example

What it does

GLM-5.3-Flash is described as the first natively multimodal model in the GLM 5 series, meaning it was built from the start to handle more than text. The source gives it 320B total parameters and 18B active parameters. Its listed task is image-text-to-text: you give it text and images, and it answers in text.

How to use it

Input → action → output: write a chat message, attach an image if you like, send it, and read the text reply. You can use the Z.ai API Platform, or serve the model yourself with a framework the source lists. A reasoning effort setting controls how much the model thinks and accepts low, high or max; max is the default.

Common use cases

Send a picture together with a question and read a written answer about it.
Ask a text question in a chat and set reasoning effort to low, high or max to choose how much the model thinks before it replies.

Can I use this?

Needs a multi-GPU server

Requirements The model is MIT licensed and not gated. To use the hosted route, the source points to the Z.ai API Platform; account or pricing details are not documented there. To host it yourself, choose a framework from the model page and follow its guide. For chat use, the source says to pass clear thinking as true explicitly.

Caveat The source does not say how much GPU memory or what hardware is needed to host it. Its price and benchmark comparisons are the creators' own claims.

Worth knowing Its price and benchmark comparisons with other models are the creators' own statements.

Why it's here

Not trending this week

Last seen on the Hugging Face trending list on 2 November 2026. It stays on BuildTube so you can still find it.

3,089 people have liked it on Hugging Face.
It was downloaded 6,398,959 times in the last 30 days.

Numbers checked on 8 November 2026; not refreshed since.

Behind it

View model page

BuildTube has not run or verified this project. Everything above is written from what the creator published.

Made this?

Quick questions

What is GLM-5.3-Flash?: GLM-5.3-Flash is described as the first natively multimodal model in the GLM 5 series, meaning it was built from the start to handle more than text.
What can I use GLM-5.3-Flash for?: Send a picture together with a question and read a written answer about it; Ask a text question in a chat and set reasoning effort to low, high or max to choose how much the model thinks before it replies
Can I run GLM-5.3-Flash on my computer?: At about 320 billion parameters in total (18 billion active), it needs a multi-GPU server, not a desktop or laptop. The source does not say how much GPU memory or what hardware is needed to host it.
What do I need to use GLM-5.3-Flash?: MIT license and not gated. To host it yourself, use one of the frameworks the source lists, such as SGLang, vLLM or Transformers.
What license does GLM-5.3-Flash use?: The model is MIT licensed and not gated. MIT license and not gated.

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