Civil Rights
Movements, leaders, victories and the continuing fight for equality.
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Movements, leaders, victories and the continuing fight for equality.
Innovation, patents, science, technology and world-changing contributions.
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Katherine Johnson’s mathematical calculations helped guide some of America’s most important early space missions while she confronted the racial and gender barriers faced by Black women in twentieth-century America.
MORE →Reflects the personal views, recollections, and perspective of the author, Mike Davis.
This is a personal recollection on the Move fire on May 13, 1985
| GLM | |
|---|---|
| Developer | Z.ai |
| Release | 3 March 2021 |
| Stable release | GLM-5.3-FlashX 21 September 2026 |
| Platform | Cloud computing platforms Local computers |
| Type | |
| License | Various; see § Models |
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.[1]
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.
GLM was first described in an 18 March 2021 paper titled GLM: General Language Model Pretraining with Autoregressive Blank Infilling.[2]
GLM was released as a chatbot in March 2023 under the name ChatGLM.[3] 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.[4]
Beginning with GLM-5, Z.ai adopted the DeepSeek Sparse Attention mechanism.[5] 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.[6][7][8]
Z.ai released GLM-5.3 on 14 August 2026 and made the model's weights available two weeks later, it uses 753 billion parameters, with 40 billion active.[9][10][11][12] 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.[13] In September, CAISI found it to be the most advanced in cybersecurity among open-weight models.[14]
| Name | Release date | License | Ref. |
|---|---|---|---|
| GLM | March 2021 | MIT | [15][1] |
| GLM-130B | September 2022 | Apache 2.0 | [16] |
| ChatGLM-130B | March 2023 | Proprietary | [17] |
| ChatGLM-6B | March 2023 | Apache 2.0 | [18] |
| ChatGLM2-6B | June 2023 | [19] | |
| ChatGLM3-6B | October 2023 | [20] | |
| GLM-4 (0116) | January 2024 | Proprietary | [17][1] |
| GLM-4 (0520) | May 2024 | [17] | |
| GLM-4-Air (0605) | June 2024 | [17] | |
| GLM-4-9B | June 2024 | Apache 2.0 | [21] |
| GLM-4-Plus | August 2024 | Proprietary | [22] |
| GLM-4-Voice | October 2024 | Apache 2.0 | [23][22][24] |
| GLM-4-Air-250414 | April 2025 | Proprietary | [25] |
| GLM-4-FlashX-250414 | April 2025 | [25] | |
| GLM-4-Flash-250414 | April 2025 | [25] | |
| GLM-4-9B-0414 | April 2025 | MIT | [26] |
| GLM-4-32B-0414 | April 2025 | [27] | |
| GLM-4.1V-Thinking | July 2025 | [28][29] | |
| GLM-4.5 | July 2025 | [30][31] | |
| GLM-4.5V | August 2025 | [32][33] | |
| GLM-4.6 | September 2025 | [34][35] | |
| GLM-4.6V | December 2025 | [36][37] | |
| GLM-4.7 | December 2025 | [38][39] | |
| GLM-5 | February 2026 | [40][41][42] | |
| GLM-5.1 | April 2026 | [43][44][45] | |
| GLM-5.2 | June 2026 | [46][47][48] | |
| GLM-5.3 | August 2026 | GLM-5.3[49] | [10][11][12] |
| GLM-5.3-Flash | August 2026 | MIT | [13][50] |
| GLM-5.3-FlashX | September 2026 | Proprietary |
In addition to the ability to run locally, such as via llama.cpp, GLM models are available via API at per-token costs directly from Z.ai.[51] 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.[46]
Z.ai also collaborated with Alibaba Cloud to release AutoGLM, a tool to run GLM from a mobile phone app similarly to OpenClaw.[52]
Source: Wikipedia. Article content is retrieved live through the MediaWiki API.
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.
Z.AI Co., Ltd., branded internationally as Z.ai, is a Chinese artificial intelligence company; their flagship product is the GLM (General Language Model) family of open weights large language models (LLMs). Formerly known as Zhipu AI outside China until 2025, it is China's first major LLM company to make initial public offering, on the Hong Kong Stock Exchange in January 2026. With a market capitalization of US$62 billion as of August 2026, it is the most valuable public AI pure play in China. Founded in Beijing in 2019 by Jie Tang as a Tsinghua University spin-out, researchers introduced the first GLM version in May 2022, preceding the AI boom. Z.ai's models have released under the free and open-source MIT License since July 2025; they have also released vision language models, text-to-video models, and the ZCode AI coding harness. As of 2024, it is one of China's six "AI tiger" companies by investors and considered to be the third-largest LLM market player in China according to the International Data Corporation. In January 2025, the United States Commerce Department blacklisted the company in its Entity List due to national security concerns. Z.ai owns AMiner, a research database similar to Google Scholar.
AI tiger (Chinese: AI六小虎, romanized: AI liù xiǎohǔ, lit. 'Six AI little tigers') is a term for notable startup companies in the artificial intelligence industry in China. There are commonly six companies defined as AI tigers: Z.ai (GLM), Moonshot AI (Kimi), MiniMax, Baichuan, StepFun, and 01.AI. Funding rounds for the tigers are led by BATX, which are composed of China's four largest tech firms.
Thinking Machines Lab Inc. is an American artificial intelligence (AI) startup founded by Mira Murati, the former chief technology officer of OpenAI. Their flagship model is Inkling, an open weights large language model. The company was founded in February 2025, and by July had completed an early-stage funding round led by Andreessen Horowitz, raising $2 billion at a valuation of $12 billion overall from investors such as Nvidia, AMD, Cisco, and Jane Street. The company is based in San Francisco and structured as a public benefit corporation. Inkling released under the Apache License on July 15, 2026, with 975 billion parameters; the company released Inkling Small, a distilled 276-billion parameter model with similar performance, the same month. The model was partially developed using Chinese open weights models DeepSeek-V3 for its foundation and Moonshot AI's Kimi K2.5 for post-training synthetic data. At the time, Inkling was considered the largest and most powerful open weights model released outside of China, exceeding Nvidia's Nemotron 3 Ultra. Thinking Machines launched Tinker, an API for fine-tuning open weights models, in October 2025. As of August 2026, Tinker supports open models families Inkling, Qwen, and Nemotron, and models DeepSeek-V3.1, GLM-5.3, Kimi K2.6, and gpt-oss.
Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.
MORE →Madam C.J. Walker