GLM-5.3

GLM-5.3 is an AI model released by Z.ai on Friday, Aug 14 2026, 59 days after GLM-5.2. It is a 743B parameter model. Benchmark results (shown below) cover Terminal-Bench 3.0, ExploitBench, ExploitGym, Agent's Last Exam, AutomationBench, DeepSWE 1.1, and 3 more.

Benchmarks

Agentic terminal coding
Terminal-Bench 3.0
28.3%
#1
Cybersecurity
ExploitBench
54.4%
Cybersecurity
ExploitGym
130
6-hour budget
105
2-hour budget
Agentic computer use
Agent's Last Exam
28.5%
#1
Business workflows
AutomationBench
48.2%
#1
Agentic coding
DeepSWE 1.1
66.9%
#5 of 17
Cybersecurity
CyberGym
84.5%
#2 of 7
Multidisciplinary reasoning
Humanity's Last Exam
62.5%
with tools
#3 of 21
Knowledge work
GDPval-AA v2
1769
#2 of 16

About GLM-5.3

GLM-5.3, released August 14, 2026, was Z.ai's coding-and-cybersecurity push — "Built to Code. Ready for Cyber Defense." — built by post-training the 743B GLM-5-generation base rather than scaling it up. At release it scored 66.9% on DeepSWE, more than twenty points above GLM-5.2, with 62.5% on Humanity's Last Exam with tools and a GDPval-AA v2 rating of 1769 — at the time the best published figure from any open-model lab, and ahead of the Claude and GPT flagships in Z.ai's own launch comparison.

The cybersecurity positioning was the real novelty: 84.5% on CyberGym topped Z.ai's launch chart outright, and 54.4% on ExploitBench — CMU's exploit-development ladder — set a launch-time high among open-model labs, though the closed Anthropic and OpenAI flagships still led that test by over twenty points. Unusually for the GLM line, launch day came without weights: access started through the GLM Coding Plan and ZCode, with API access and open weights slated to follow in stages after safety evaluations. It was Z.ai's seventh flagship release in thirteen months.

GLM-5.3 — frequently asked questions

When was GLM-5.3 released?
GLM-5.3 was released by Z.ai on Friday, Aug 14 2026.
Who made GLM-5.3?
GLM-5.3 was built by Z.ai. Chinese AI lab spun out of Tsinghua University (formerly Zhipu AI), building the open-weight GLM family. Rebranded internationally as Z.ai in 2025.
What benchmark scores did GLM-5.3 get?
GLM-5.3 reports 10 tracked benchmark scores — DeepSWE 1.1: 66.9%; Terminal-Bench 3.0: 28.3%; CyberGym: 84.5%; ExploitBench: 54.4%; ExploitGym (6-hour budget): 130; ExploitGym (2-hour budget): 105; Humanity's Last Exam (with tools): 62.5%; Agent's Last Exam: 28.5%; AutomationBench: 48.2%; GDPval-AA v2: 1769. Scores are the figures published at release by Z.ai. It holds the best score among all models tracked here on Terminal-Bench 3.0, ExploitBench, ExploitGym (6-hour budget), ExploitGym (2-hour budget), Agent's Last Exam and AutomationBench.
How many parameters does GLM-5.3 have?
GLM-5.3 is reported at 743B parameters.
Is GLM-5.3 open source?
No. GLM-5.3 is a proprietary model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms.
What came before and after GLM-5.3?
Z.ai's previous tracked release was GLM-5.2 on Jun 16 2026, 59 days earlier. It is the most recent Z.ai model tracked on AI Release Tracker.

Compare GLM-5.3 with