Zhipu AI
47 models across 13 families · Latest: GLM-5.3-Flash (2026-08)
Chinese AI research lab developing GLM language models.
Zhipu AI's portfolio covers 47 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 47 active tracked models; last verified 2026-09-10.
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 47 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
47
Current models from this lab, excluding deprecated ones
Active families
13
Current model families from this lab
Open catalog
28 open
27 open source / 1 open weights
Lowest output price
$0.100 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2026-08-26
GLM-5.3-Flash
Freshness
2026-09-10
Researched 11d ago
Information
Release cadence
- Dated releases
- 5
- Latest model
- GLM-5.3-Flash
- Latest date
- 2026-08-26
Where this lab wins
- Coding: 6 tracked models with SWE-bench / HumanEval-style scores.
- RAG: 16 tracked models with ruler / needle retrieval benchmarks.
- Agentic: 13 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
- Long-context: 22 tracked models with context-token or InfiniteBench-class signal.
Flagship quality / price signal
- Flagship
- GLM-5
- Selection source
- Best sourced coding Q/$
- Coding grade
- C
- Benchmark / output price
- swe-bench-pro 55.1 · $2.08/1M
About
Zhipu AI, established in 2019, has quickly emerged as an influential entity in the realm of artificial intelligence, particularly due to its pioneering work in generative AI and large language models (LLMs). Originating from Tsinghua University, China's premier academic institution, Zhipu AI was founded by researchers Tang Jie and Li Juanzi. Their expertise in knowledge engineering and cognitive computing laid a robust foundation for the company, allowing it to infuse advanced academic insights into its AI strategies, thereby crafting innovative solutions that are reshaping AI development.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| GLM-5.3-Flash | 2026-08-26 | 1m | $0.075 | $0.25 | MIT | Open source |
| GLM-5.3 | 2026-08-14 | 1m | $1.40 | $4.40 | Proprietary | Proprietary |
| GLM-5.2 | 2026-06-13 | 1m | $1.40 | $4.40 | MIT | Open source |
Model families
Recent releases
- GLM-5.3-Flash- 2026-08-26
- GLM-5.3- 2026-08-14
- GLM-5.2- 2026-06-13
- GLM-5.1- 2026-04-07
- GLM-5V-Turbo- 2026-04-01
Top comparisons
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Last reviewed: 2026-09-10. Data sourced from public lab announcements and provider documentation.