30 models across 8 families · Latest: GLM 4.7 (2026-03)
Leading China's LLM innovation surge
Tsinghua Knowledge Engineering Group (THUDM)'s portfolio covers 30 active models across 6 non-obsolete families, with task labels spanning coding, rag, and agents. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 7 decision-task tags, 30 active tracked models, latest research stamp 2026-05-22.
Use this portfolio page for
- Teams evaluating coding, rag, and agents across this lab's releases
- Readers comparing families before locking a flagship SKU
- 30 tracked SKUs for migration and pricing follow-ups
Do not stop here for
- Choosing a hosting provider without opening a model page for price ladders
Active models
30
Non-deprecated SKUs linked to this researcher
Active families
6
Non-obsolete families in coverage
Open catalog
10 OSS
0 open-weight (text match)
Decision task tags
7
Mapped to the site-wide task taxonomy
Latest dated release
2026-03-01
GLM 4.7
Freshness
2026-05-22
Researched 13d ago
Release cadence
Showing 5 recent dated ships (full timeline below). Latest spotlight: GLM 4.7 (2026-03-01).
Where this lab wins
- Coding: 1 tracked model with SWE-bench / HumanEval-style scores.
- RAG: 8 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 3 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 20 tracked models with context-token or InfiniteBench-class signal.
Flagship quality / price signal
Anchor SKU: ChatGLM3 6B (best sourced coding Q/$ in this portfolio).
Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).
Tsinghua Knowledge Engineering Group (THUDM) is a Chinese AI research organization founded in 2018. Leading China's LLM innovation surge. Tsinghua Knowledge Engineering Group (THUDM) ships 8 model families totaling 30 models, with the most recent release GLM 4.7 in 2026-03. Notable families include GLM-4, GLM, and CogVLM2. Use it as a stable reference for lab background, release coverage, and follow-up model pages. View official API endpoints, benchmark performance, and coding/agent fit for every Tsinghua Knowledge Engineering Group (THUDM) model.
About
The Tsinghua Knowledge Engineering Group (THUDM) in Beijing, China, sits at the forefront of AI research, making substantial strides in generative AI and Large Language Models (LLMs). Their work is rooted in a commitment to advancing the capabilities of AI technologies and showcasing their unique position within the global research community. One of their most groundbreaking achievements is the development of the ChatGLM family of LLMs, with iterations like GLM-4, CodeGeeX, CogVLM (VisualGLM), WebGLM, and the expansive GLM-130B. These models exemplify THUDM's adeptness in creating diverse LLMs tailored for various purposes. Not content with merely model creation, their research also delves into developing training and inference techniques, offering a more holistic approach that underscores their standing as innovators in the field. THUDM's contributions extend further into the evaluation of LLMs, an area critical for understanding and enhancing AI performance. They have crafted several benchmarks, such as AgentBench, AlignBench, LongBench, and NaturalCodeBench, providing essential tools for the AI community to assess model capabilities and limitations. This research extends to integrating pre-training in graph neural networks, with projects like GraphMAE, GPT-GNN, GCC, SelfKG, and CogDL, evidencing their multi-disciplinary expertise and comprehensive research approach. In addition to foundational research, THUDM focuses on translating their work into practical applications. Models like CogVideo and CogVideoX, capable of generating video from text and images, highlight their foray into cutting-edge technologies. These are readily accessible through platforms like Hugging Face and ModelScope, reflecting their commitment to open-source and the democratization of technology. Their active participation in projects such as CogAgent and AutoWebGLM further demonstrates the practical impact of their work, aligning closely with the needs of the broader research and development communities. By embracing a collaborative and open-source-friendly mindset, THUDM not only pushes the envelope in AI research but also fosters an environment conducive to innovation and shared learning. Their extensive array of GitHub repositories and partnerships underscores a dedication to knowledge dissemination, reinforcing their role as a pivotal force driving progress in AI. While the exact founding date remains unconfirmed, THUDM's contributions solidify their importance in the evolution of generative AI and LLMs on the world stage.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| GLM 4.7 | 2026-03-01 | 200k | $0.60 | $2.20 | Proprietary |
| Together GLM-5 | 2026-02-20 | 200k | - | - | Proprietary |
| GLM 4.6V | 2026-02-01 | 128k | $0.3 | $0.9 | Proprietary |
Model families
Recent releases
- GLM 4.7- 2026-03-01
- Together GLM-5- 2026-02-20
- GLM 4.6V- 2026-02-01
- GLM 4.5V- 2026-01-01
- GLM-4 Code 9B- 2025-05-10
FAQ
Who founded Tsinghua Knowledge Engineering Group (THUDM) and when?
Tsinghua Knowledge Engineering Group (THUDM) was founded in 2018 and is associated with Beijing, China.
What models has Tsinghua Knowledge Engineering Group (THUDM) released?
Tsinghua Knowledge Engineering Group (THUDM) ships 30 models across 8 families: GLM-4, GLM, and CogVLM2.
Is Tsinghua Knowledge Engineering Group (THUDM)'s technology open source?
Some Tsinghua Knowledge Engineering Group (THUDM) models are open-weight (GLM-4 Code 9B, GLM-4 Air 4B, and GLM-4 32B); others are proprietary (GLM 4.7, GLM 4.6V, and GLM 4.5V).
Where is Tsinghua Knowledge Engineering Group (THUDM) headquartered?
Tsinghua Knowledge Engineering Group (THUDM) is headquartered in Beijing, China.
What is Tsinghua Knowledge Engineering Group (THUDM) known for?
Leading China's LLM innovation surge. Its most prominent tracked family is GLM-4.
How can I access Tsinghua Knowledge Engineering Group (THUDM)'s models?
Tsinghua Knowledge Engineering Group (THUDM)'s models are available via Alibaba Cloud PAI-EAS, AWS Bedrock, Bitdeer AI, Cloudflare Workers AI, and Fireworks AI.
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Last reviewed: 2026-05-22. Data sourced from public lab announcements and provider documentation.