Zhipu AI
45 models across 13 families · Latest: GLM-5.2 (2026-06)
Chinese AI research lab developing GLM language models.
Zhipu AI's portfolio covers 45 active models across 13 current families, spanning coding, rag, and agents. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 7 workload areas across 45 active tracked models; last verified 2026-07-11.
Use it for
- Teams evaluating coding, rag, and agents across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 45 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
45
Current models from this lab, excluding deprecated ones
Active families
13
Current model families from this lab
Open catalog
27 open
25 open source / 2 open weights
Lowest output price
$0.100 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2026-06-13
GLM-5.2
Freshness
2026-07-11
Researched 6d ago
Information
Release cadence
Showing 5 recent dated releases (full timeline below). Latest: GLM-5.2 (2026-06-13).
Where this lab wins
- Coding: 4 tracked models with SWE-bench / HumanEval-style scores.
- RAG: 14 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 11 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
Flagship: GLM-5 (best sourced coding quality-per-dollar in this portfolio).
Coding task grade C · swe-bench-pro score 55.1 · cheapest tracked output $2.08 per 1M tokens
Zhipu AI is a Chinese AI research organization founded in 2019. Chinese AI research lab developing GLM language models. Zhipu AI ships 13 model families totaling 45 models, with the most recent release GLM-5.2 in 2026-06. Notable families include GLM-5, GLM-4, and GLM Image. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are. View official API endpoints, benchmark performance, and coding/agent fit for every Zhipu AI model.
About
Zhipu AI, established in 2019, has quickly emerged as an influential entity in the realm of artificial intelligence, particularly due to its pioneering work in generative AI and large language models (LLMs). Originating from Tsinghua University, China's premier academic institution, Zhipu AI was founded by researchers Tang Jie and Li Juanzi. Their expertise in knowledge engineering and cognitive computing laid a robust foundation for the company, allowing it to infuse advanced academic insights into its AI strategies, thereby crafting innovative solutions that are reshaping AI development. Zhipu AI's core ambition lies in the creation of large language models designed to process and generate human-like text with remarkable accuracy. The company's flagship GLM (General Language Model) series, including the GLM-4, exemplifies this pursuit. Released in 2024, GLM-4 boasts superior contextual understanding, alongside multi-modal capabilities that extend its proficiency to include text, image, and video processing. This model not only reflects Zhipu AI's technological prowess but also its resolve to compete head-on with global leaders like OpenAI's GPT-4. The company has further distinguished itself through the development of diverse AI tools such as ChatGLM, a bilingual model performing efficiently on everyday devices, and CodeGeeX, an AI assistant facilitating efficient code writing for developers. Additionally, their image generation tool, CogView, underscores Zhipu AI's commitment to advancing applications of generative AI, significantly enhancing creative possibilities for machine learning technologies. Zhipu AI's innovations have garnered substantial investment from major industry players like Alibaba, Tencent, and Ant Group, securing 2.5 billion yuan (approximately $400 million) in 2023. This financial backing has not only strengthened the company's R&D capabilities but has also fueled its expansion within the AI sector. Strategic alliances with top-tier tech firms and academic bodies further bolster its growth, enhancing its position as a collaborative hub for groundbreaking AI research and applications. Recognized as one of the "AI Tigers" of China, Zhipu AI is poised to make significant contributions to the country's AI advancements. This acknowledgment signifies its rapid ascent and potential to forge impactful AI technologies. As it continues to explore and develop its arsenal of generative AI and LLMs, Zhipu AI remains steadfast in its mission to push the boundaries toward artificial general intelligence (AGI), reinforcing its status as a formidable player in the global AI landscape.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| GLM-5.2 | 2026-06-13 | 1m | $1.40 | $4.40 | MIT | Open source |
| GLM-5.1 | 2026-04-07 | 200k | $1.40 | $4.40 | MIT | Open source |
| GLM-5V-Turbo | 2026-04-01 | 200k | $1.2 | $4 | MIT | Open source |
Model families
Recent releases
- GLM-5.2- 2026-06-13
- GLM-5.1- 2026-04-07
- GLM-5V-Turbo- 2026-04-01
- GLM-5 Turbo- 2026-03-01
- GLM 4.7- 2026-03-01
Top comparisons
FAQ
Who founded Zhipu AI and when?
Zhipu AI was founded in 2019 and is associated with Beijing, China.
What models has Zhipu AI released?
Zhipu AI ships 45 models across 13 families: GLM-5, GLM-4, and GLM Image.
Is Zhipu AI's technology open source?
Some Zhipu AI models are open-weight (GLM-5.2, GLM-5.1, and GLM-5V-Turbo); others are proprietary (GLM-4-Flash-250414, GLM-4.1V-Thinking-FlashX, and GLM-4.1V-Thinking-Flash).
Where is Zhipu AI headquartered?
Zhipu AI is headquartered in Beijing, China.
What is Zhipu AI known for?
Chinese AI research lab developing GLM language models. Its most prominent tracked family is GLM-5.
How can I access Zhipu AI's models?
Zhipu AI's models are available via Z.ai, AWS Bedrock, Bitdeer AI, Cloudflare Workers AI, and Fireworks AI.
Explore related pages
Last reviewed: 2026-07-11. Data sourced from public lab announcements and provider documentation.