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GLM (AI)

Large language model and AI chatbot by Z.ai

GLM, short for General Language Model, is a series of open weight large language models developed by Chinese software company Z.ai. Though the first GLM model was published on 3 March 2021, it was released under the name ChatGLM as an AI-based chatbot in March 2023. It is also used in AI-assisted software development.

GLM is the flagship model series of Z.ai, one of the six AI tigers of China. The weights of most GLM models are released under the MIT License or Apache License 2.0, allowing them to be run either locally or in the cloud.

01History

GLM was first described in an 18 March 2021 paper titled GLM: General Language Model Pretraining with Autoregressive Blank Infilling. In its initial release, it outperformed GPT and BERT models for several tasks.

GLM was released as a chatbot in March 2023 under the name ChatGLM. The company's benchmarks show that the 5.2 iteration of the model released in June 2026 was nearly as performant as Claude Opus 4.7 to 4.8.

Beginning with GLM-5, Z.ai adopted the DeepSeek Sparse Attention mechanism. Hugging Face self-hosted GLM-5.2 for data processing to mitigate a cyberattack autonomously conducted by two OpenAI models, including GPT-5.6 Sol, that had escaped their sandbox in July 2026. Prior to deploying GLM-5.2, Hugging Face had attempted to use American proprietary frontier models, which were prevented by their AI safety guardrails from answering the company's requests.

Z.ai released GLM-5.3 on 14 August 2026 and made the model's weights available two weeks later. Later that month, Z.ai anonymously previewed a model called Ox Alpha on OpenRouter, which was released with weights on 26 August as GLM-5.3-Flash. Upon full release, Z.ai disclosed that they had been serving the model using AI chips manufactured in China. GLM-5.3-Flash incorporates Kimi Delta Attention, developed by competing Chinese lab Moonshot AI.

02Models

List of models
Name Release date License Ref.
GLM March 2021 MIT
GLM-130B September 2022 Apache 2.0
ChatGLM-130B March 2023 Proprietary
ChatGLM-6B March 2023 Apache 2.0
ChatGLM2-6B June 2023
ChatGLM3-6B October 2023
GLM-4 (0116) January 2024 Proprietary
GLM-4 (0520) May 2024
GLM-4-Air (0605) June 2024
GLM-4-9B June 2024 Apache 2.0
GLM-4-Plus August 2024 Proprietary
GLM-4-Voice October 2024 Apache 2.0
GLM-4-Air-250414 April 2025 Proprietary
GLM-4-FlashX-250414 April 2025
GLM-4-Flash-250414 April 2025
GLM-4-9B-0414 April 2025 MIT
GLM-4-32B-0414 April 2025
GLM-4.1V-Thinking July 2025
GLM-4.5 July 2025
GLM-4.5V August 2025
GLM-4.6 September 2025
GLM-4.6V December 2025
GLM-4.7 December 2025
GLM-5 February 2026
GLM-5.1 April 2026
GLM-5.2 June 2026
GLM-5.3 August 2026 GLM-5.3
GLM-5.3-Flash August 2026 MIT

03Products

In addition to the ability to run locally via Ollama or llama.cpp, GLM models are available via API at per-token costs directly from Z.ai. Z.ai also offers a subscription-based plan for API model access, the GLM Coding Plan. The plan is priced at approximately one tenth of a subscription to Claude Code. Z.ai also collaborated with Alibaba Cloud to release AutoGLM, a tool to run GLM from a mobile phone app similarly to OpenClaw.

Watch videos about GLM (AI)Explainers and documentaries on YouTube (opens in a new tab)

Sources and credits

This article is adapted from the Wikipedia article GLM (AI), written by its contributors and licensed under CC BY-SA 4.0. Fathomly has changed the layout, removed citation markers, navigation and maintenance notices, and adjusted punctuation. This adapted version is shared under the same license. For references, see the original article.

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