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.
History
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.
“GLM (AI)” enters the record as large language model and AI chatbot by Z.ai. Crown Archives preserves that source wording while asking what large, language and model can confirm, complicate or overturn.
Why this record matters
“GLM (AI)” is worth following because a concise public description often conceals a longer documentary argument. Here, large, language and model provides the most credible route into that argument.
The citation trail is more important than the brevity of the summary: it shows where individual claims can be examined in context. The source revision retrieved here is dated Sep 22, 2026. The linked authority identifier is Q140356408. None of the 1 selected statements returned an explicit reference. The first chronological checks are 2021, 2023 and 2026.
Overview language is designed for orientation and should not be treated as a substitute for the evidence cited beneath it. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.
How to read it
Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.
- Subject orientation
- Search vocabulary
- Locating named sources
The closest primary source, responsible institution and strongest cited specialist reference.
Three-step research path
- Establish the record: confirm the title “GLM (AI)”, its source revision and the description used here.
- Expand the search: follow GLM (AI) primary sources, GLM (AI) archive and large research across catalogues and specialist indexes.
- Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.
Questions for further research
- Which source most directly establishes the central claim about “GLM (AI)”?
- Which institution is responsible for the underlying evidence?
- What terminology or title could unlock a more precise catalogue search?
Search terms from this dossier
This entry incorporates text from “GLM (AI)” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.