Founder of a listed tool
Tang Jie
Named behind 4 listings on Anchor Terminal.
What Tang builds
GLM-4.5-Air C · Open-weight models
GLM-4.5-Air is Z.ai's open-weight mixture-of-experts model for English and Chinese, 106B total and 12B active parameters, with thinking that turns off per request, tool calling and a 128K context, published in BF16 and FP8 under MIT.
Co-founder, Z.ai (Zhipu AI), researched 27 October 2026 · the people behind it
GLM-4.7-Flash B · Open-weight models
GLM-4.7-Flash is Z.ai's open-weight mixture-of-experts reasoning model, 30B parameters with about 3B active per token, for English and Chinese, published on Hugging Face in BF16 under the MIT licence.
Co-founder, Z.ai (Zhipu AI), researched 27 October 2026 · the people behind it
GLM-5.3 B · Open-weight models
GLM-5.3 is Z.ai's open-weight mixture-of-experts model for coding and long-horizon agent work, 744B parameters with 40B active and a 1M-token context, published on Hugging Face in FP8 and BF16 under its own licence.
Co-founder, Z.ai (Zhipu AI), researched 27 October 2026 · the people behind it
GLM-5.3-Flash B · Open-weight models
GLM-5.3-Flash is Z.ai's open-weight multimodal mixture-of-experts model, 320B parameters with 18B active and a 1,048,576-token context, published on Hugging Face in FP8 and BF16 under the MIT licence.
Co-founder, Z.ai (Zhipu AI), researched 27 October 2026 · the people behind it
Works with
- Li Juanzi Co-founder, Z.ai (Zhipu AI)
Questions
Who is Tang Jie?
Tang Jie co-founded Z.ai, formerly Zhipu AI, which began in 2019 as a Tsinghua University spin-out, and is a professor of computer science at Tsinghua. With a large research team he developed GLM-130B, ChatGLM, CogView, CogVideo and CodeGeeX, and he created the AMiner academic search system. He is a Fellow of the ACM, AAAI and IEEE.
What does Z.ai (Zhipu AI) make?
Anchor Terminal lists GLM-4.5-Air, GLM-4.7-Flash, GLM-5.3 and GLM-5.3-Flash from Z.ai (Zhipu AI). GLM-4.5-Air is Z.ai's open-weight mixture-of-experts model for English and Chinese, 106B total and 12B active parameters, with thinking that turns off per request, tool calling and a 128K context, published in BF16 and FP8 under MIT.
How are Tang's tools graded?
GLM-4.5-Air is graded C, 59.1 out of 100; GLM-4.7-Flash is graded B, 63 out of 100; GLM-5.3 is graded B, 64.6 out of 100; GLM-5.3-Flash is graded B, 65.1 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.
Sources (8)
- https://huggingface.co/zai-org/GLM-4.5-Air
- https://huggingface.co/zai-org
- https://en.wikipedia.org/wiki/Zhipu_AI
- https://en.wikipedia.org/wiki/Tang_Jie
- https://keg.cs.tsinghua.edu.cn/jietang/
- https://huggingface.co/zai-org/GLM-4.7-Flash
- https://huggingface.co/zai-org/GLM-5.3
- https://huggingface.co/zai-org/GLM-5.3-Flash
These are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched. They don't work for Anchor Terminal (our own team is on the about page). We show public roles, public profiles and what the listing pages show, nothing private. To correct something, send an about or a photo, or have a page removed, write to privacy@anchorterminal.com.