Tsinghua Knowledge Engineering Group (THUDM)
14 models across 7 families · Latest: Together GLM-5 (2026-02)
Leading China's LLM innovation surge
Tsinghua Knowledge Engineering Group (THUDM)'s portfolio covers 14 active models across 5 current families, spanning long context and vision. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 2 workload areas across 14 active tracked models; last verified 2026-05-19.
Use it for
- Teams evaluating long context and vision across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 14 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
14
Current models from this lab, excluding deprecated ones
Active families
5
Current model families from this lab
Open catalog
14 open
14 open source / 0 open weights
Lowest output price
$0.200 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2026-02-20
Together GLM-5
Freshness
2026-05-19
Researched 60d ago
Information
Release cadence
Showing 5 recent dated releases (full timeline below). Latest: Together GLM-5 (2026-02-20).
Where this lab wins
- Long-context: 7 tracked models with context-token or InfiniteBench-class signal.
- Vision: 2 tracked models with multimodal benchmark coverage.
Flagship quality / price signal
Flagship: ChatGLM3 6B (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
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 7 model families totaling 14 models, with the most recent release Together GLM-5 in 2026-02. Notable families include GLM, CogVLM2, and ChatGLM-4. 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 | Openness |
|---|---|---|---|---|---|---|
| Together GLM-5 | 2026-02-20 | 200k | - | - | Apache 2.0 | Open source |
| CogVLM2 Chat 19B | 2025-04-22 | - | - | - | Apache 2.0 | Open source |
| ChatGLM-4 32B | 2025-02-28 | 128k | - | - | Apache 2.0 | Open source |
Model families
Recent releases
- Together GLM-5- 2026-02-20
- CogVLM2 Chat 19B- 2025-04-22
- ChatGLM-4 32B- 2025-02-28
- ChatGLM-4 9B- 2025-01-15
- GLM-Z1 9B- 2025-01-08
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 14 models across 7 families: GLM, CogVLM2, and ChatGLM-4.
Is Tsinghua Knowledge Engineering Group (THUDM)'s technology open source?
All tracked models are released under Open Source.
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.
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, Fireworks AI, and NVIDIA NIM.
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.