Zhipu AI (Z.ai): the Beijing lab behind the GLM models
Zhipu AI, branded internationally as Z.ai, is a Chinese company spun out of Tsinghua University that develops the GLM family of language models. Its large models are released as open weights under the MIT license, making it a serious option if you want an open alternative to US models.
Data as of October 22, 2026
Key figures
| Country | China |
|---|---|
| Headquarters | Beijing |
| Founded | 2019 |
| Type | Start-up |
| Weights policy | Open weights |
| Model families | GLM, GLM-V, CogVLM |
| Consumer assistant | Z.ai |
| Official site | z.ai · Developer API |
| Models tracked here | 6 |
A Tsinghua University spin-out
Zhipu AI grew out of the Knowledge Engineering Group (KEG) in Tsinghua University’s computer science department in Beijing. The company was founded in 2019 and is headquartered in Haidian, the capital’s main tech district. It describes itself as an independent large-model developer active in research, paid API access and consumer apps alike.
Outside China it goes by Z.ai, so expect to see two names: Zhipu in news coverage and in China, Z.ai on the sites aimed at everyone else.
The GLM family and its offshoots
The core product is GLM (General Language Model), a family of large language models refreshed at a steady pace. Recent versions are pitched at coding and AI agent work: breaking a problem down, running steps, and course-correcting over long tasks.
Around that core, Zhipu also publishes:
- vision and image-understanding models (GLM-V, CogVLM);
- image generation (GLM-Image, CogView) and video generation (CogVideoX);
- specialized models for OCR, speech recognition and text-to-speech.
A deliberate open-weights strategy
What sets Zhipu apart from many rivals is the license. Its flagship GLM models ship as open weights under the MIT license: you can download, modify and use them commercially, even inside a closed product. In practice, that lets a company host GLM in-house without sending data to an outside service. The models live on Hugging Face under the zai-org organization.
One caveat: not every variant is necessarily released. Versions tuned for speed or price appear to be available only through the API, so the individual model card is the reference.
How to access GLM
There are three ways in:
- The chat assistant Z.ai, to try GLM with nothing to install.
- The API, documented at docs.z.ai (bigmodel.cn in China), to build GLM into an app.
- Downloading the weights for self-hosting with vLLM, SGLang or Transformers.
To see how GLM stacks up against other open models, check our open-source models page or the model comparison tool. If you are weighing several Chinese labs, the Moonshot AI profile covers a similar approach.
Zhipu AI (Z.ai) models tracked on this site
Frequently asked questions
Are Zhipu AI and Z.ai the same company?
Yes. The company is registered in China as Beijing Zhipu Huazhang Technology and uses the Z.ai brand for its international services. In China, its API runs on bigmodel.cn and its consumer assistant is called Zhipu Qingyan (ChatGLM).
Are GLM models really open source?
Recent flagship GLM models such as GLM-5.1 are published on Hugging Face under the MIT license, one of the most permissive licenses available. Some commercial variants appear to be API-only, so check each model card before planning a local deployment.
How can I try GLM for free?
The easiest way is the Z.ai chat assistant in your browser. Developers can also download the weights from Hugging Face and run them with tools such as vLLM or SGLang, provided they have enough hardware.
What are GLM models best at?
Zhipu emphasizes coding, long-running agent tasks and reasoning. The wider family also includes vision models (GLM-V), image generation (GLM-Image, CogView) and video generation (CogVideoX).
Data sources
- zhipuai.cn
- docs.z.ai
- huggingface.co
- huggingface.co
- chat.z.ai
- Models.dev — Model data: models.dev (open-source project)
- Epoch AI — AI Benchmarking Hub — Epoch AI, “AI Benchmarking Hub”, epoch.ai, CC BY 4.0
Data as of October 22, 2026
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