Identity
- Type
- company
- Country label
- China
- HQ country
- China
- Founding country
- China
- Parent
- not in the notes
- Parent country
- not in the notes
- Country basis
- the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.
Models by Class
Models
ModelClassOpennessParametersReleased
GLM-5.3LLM25 Aug 2026
GLM-5.3-Flashmultimodal LLM25 Aug 2026
GLM-5.2LLM13 Jun 2026
GLM-5.1LLM3 Apr 2026
GLM-5V-Turbomultimodal LLM1 Apr 2026
GLM-OCROCR and document30 Jan 2026
GLM 4.7 FlashLLM19 Jan 2026
GLM-Imageimage generationJan 2026
GLM-ASR-Nano (GLM-ASR-Nano-2512)speech recognition9 Dec 2025
GLM-4.6Vmultimodal LLM8 Dec 2025
GLM-4.5Vmultimodal LLM11 Aug 2025
GLM-4.5LLM8 Aug 2025
CogVideoX-I2Vworld model16 Sep 2024
GLM-4-9B-ChatLLM4 Jun 2024
GLM-4V-9Bmultimodal LLM4 Jun 2024
CogAgent chatZ.ai (Zhipu), Tsinghua Universitymultimodal LLM14 Dec 2023
CogVLM chatZ.ai (Zhipu), Tsinghua Universitymultimodal LLM16 Nov 2023
ChatGLM3-6BZ.ai (Zhipu), Tsinghua UniversityLLM25 Oct 2023
CogVLMZ.ai (Zhipu), Tsinghua Universitymultimodal LLM5 Oct 2023
ChatGLMZ.ai (Zhipu), Tsinghua UniversityLLM24 Jun 2023
ChatGLM2-6BZ.ai (Zhipu), Tsinghua UniversityLLM24 Jun 2023
GLMLLM–
GLM-4 (0520)LLM–
GLM-4.5-Air-BaseLLM–
GLM-4.6LLM–
GLM-4.7LLM–
GLM-4-9B-0414LLM–
GLM-5LLM–
GLM-5.3-FlashXLLM–
GLM-5.3-PrimeLLM–Links
Organisation
Z.ai (Zhipu)company, China
Z.ai (Zhipu)company, ChinaModels
GLM-5.3Z.ai (Zhipu), LLM
GLM-5.3-FlashZ.ai (Zhipu), multimodal LLM
GLM-5.2Z.ai (Zhipu), LLM
GLM-5.1Z.ai (Zhipu), LLM+26 more
GLM-5.3Z.ai (Zhipu), LLM
GLM-5.3-FlashZ.ai (Zhipu), multimodal LLM
GLM-5.2Z.ai (Zhipu), LLM
GLM-5.1Z.ai (Zhipu), LLM+26 moreUse Casesnone recorded
Who Runs Itnone recorded
Models 30
GLMZ.ai (Zhipu), LLMDeveloper
GLM-4.5VZ.ai (Zhipu), multimodal LLMDeveloper
GLM-5.2Z.ai (Zhipu), LLMDeveloper
ChatGLMZ.ai (Zhipu), Tsinghua University, LLMDeveloper
CogAgent chatZ.ai (Zhipu), Tsinghua University, multimodal LLMDeveloper
CogVLMZ.ai (Zhipu), Tsinghua University, multimodal LLMDeveloper
GLM-4.5Z.ai (Zhipu), LLMDeveloper
ChatGLM2-6BZ.ai (Zhipu), Tsinghua University, LLMDeveloper
ChatGLM3-6BZ.ai (Zhipu), Tsinghua University, LLMDeveloper
CogVLM chatZ.ai (Zhipu), Tsinghua University, multimodal LLMDeveloper
GLM-4.6Z.ai (Zhipu), LLMDeveloper
GLM-4.7Z.ai (Zhipu), LLMDeveloper+18
GLM-5Z.ai (Zhipu), LLMDeveloper
GLM-5.1Z.ai (Zhipu), LLMDeveloper
GLM-5V-TurboZ.ai (Zhipu), multimodal LLMDeveloper
GLM-4-9B-ChatZ.ai (Zhipu), LLMDeveloper
GLM-4.6VZ.ai (Zhipu), multimodal LLMDeveloper
GLM-5.3Z.ai (Zhipu), LLMDeveloper
GLM-5.3-FlashZ.ai (Zhipu), multimodal LLMDeveloper
GLM-ImageZ.ai (Zhipu), image generationDeveloper
GLM-4 (0520)Z.ai (Zhipu), LLMDeveloper
GLM-4-9B-0414Z.ai (Zhipu), LLMDeveloper
GLM-4.5-Air-BaseZ.ai (Zhipu), LLMDeveloper
GLM-5.3-FlashXZ.ai (Zhipu), LLMDeveloper
CogVideoX-I2VZ.ai (Zhipu), world modelDeveloper
GLM 4.7 FlashZ.ai (Zhipu), LLMDeveloper
GLM-4V-9BZ.ai (Zhipu), multimodal LLMDeveloper
GLM-5.3-PrimeZ.ai (Zhipu), LLMDeveloper
GLM-ASR-Nano (GLM-ASR-Nano-2512)Z.ai (Zhipu), speech recognitionDeveloper
GLM-OCRZ.ai (Zhipu), OCR and documentDeveloperScores
| Benchmark | Model | Score | Who ran it | Setting |
|---|---|---|---|---|
| Arena Text leaderboard | GLM-5.1 | 1,464 Elo | independent | |
| Arena Text leaderboard | GLM-5.2 | 1,475 Elo | independent | glm-5.2-max |
| Arena Text leaderboard | GLM-5.3 | 1,478 Elo | independent | glm-5.3-max |
| Arena Text leaderboard | GLM-5.3-Flash | 1,475 Elo | independent | |
| Artificial Analysis Intelligence Index | GLM-5.3 | 45 index | independent | GLM-5.3 (Max) |
| Artificial Analysis Intelligence Index | GLM-5.3 | 45 index | independent | max |
| Artificial Analysis Text-to-Image Arena | GLM-Image | 891 Elo | independent | |
| BFCL | GLM-4 (0520) | 81.76 score | vendor-reported | Berkeley Function Call overall |
| DeepSWE | GLM-5.3 | 66.9 % | vendor-reported | mini-swe-agent |
| GPQA | GLM-4 (0520) | 39.9 % | vendor-reported | |
| GSM8K | GLM-4 (0520) | 93.3 % | vendor-reported | |
| HumanEval | GLM-4 (0520) | 78.5 % | vendor-reported | |
| Humanity's Last Exam (HLE) | GLM-5.3 | 62.5 % | vendor-reported | with tools |
| IFEval | GLM-4 (0520) | 79.1 % | vendor-reported | English, prompt-level strict |
| MATH | GLM-4 (0520) | 61.3 % | vendor-reported | |
| MMLU | GLM-4 (0520) | 83.3 % | vendor-reported | |
| OmniDocBench | GLM-OCR | 95.22 score | vendor-reported | overall |
| Real5-OmniDocBench | GLM-OCR | 90.32 score | vendor-reported | overall |
| SEA-HELM | GLM 4.7 Flash | 53.76 score | maintainer-run | Checkpoint GLM-4.7-Flash as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps |
| SEA-HELM | GLM 4.7 Flash | 67.89 score | maintainer-run | |
| SWE-bench Pro | GLM-5.2 | 62.1 % | vendor-reported | max effort |
| SWE-bench Verified | GLM-5.2 | 80 % | independent | third-party via Thinking Machines |
| tau2-bench | GLM-5.2 | 99.1 % | independent | Artificial Analysis telecom run |
| Terminal-Bench | GLM-5.2 | 81 % | vendor-reported | |
| Terminal-Bench | GLM-5.3 | 88.2 % | vendor-reported | |
| Terminal-Bench | GLM-5.3 | 88.2 % | vendor-reported | Claude Code 2.1.207 |
| Terminal-Bench | GLM-5.3 | 28.3 | vendor-reported | |
| WorldScore | CogVideoX-I2V | 59.12 score | maintainer-run | Dynamic aggregate |
| WorldScore | CogVideoX-I2V | 62.15 score | maintainer-run | Static aggregate |
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.
Sources
- Pricing - Overview - Z.AI DEVELOPER DOCUMENT docs.z.ai https://docs.z.ai/guides/overview/pricing
- huggingface.co/zai-org https://huggingface.co/zai-org
- huggingface.co/zai-org/GLM-5.3 https://huggingface.co/zai-org/GLM-5.3
- arxiv.org/pdf/2606.03264 https://arxiv.org/pdf/2606.03264
- huggingface.co/api/models/zai-org/GLM-OCR https://huggingface.co/api/models/zai-org/GLM-OCR
- τ²-bench results Leaderboard & Scores , October 2026 benchlm.ai https://www.benchlm.ai/benchmarks/tau2-bench
- Over 30 AI models have been trained at the scale of GPT-4 epoch.ai https://epoch.ai/data-insights/models-over-1e25-flop
- GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models arxiv.org https://arxiv.org/abs/2508.06471
- yicaiglobal.com/news/zhipu-ai-soars-in-hong-kong-stock-market... https://www.yicaiglobal.com/news/zhipu-ai-soars-in-hong-kong-stock-market-debut-as-chinese-startup-becomes-worlds-first-llm-firm-to-go-public
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Z.ai (Zhipu)", https://aurion.semai.id/organisations/zhipu-zai/, records of October 2026.