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Artificial Intelligence

Anthropic compares Zhipu GLM-5.3 with Claude on exploits

Anthropic said Zhipu AI’s GLM-5.3 and GLM-5.3-Flash came close to Claude Mythos Preview on exploit tasks, and CAISI said its separate review broadly supported the capability findings.

THE-DECODER

Anthropic said its Frontier Red Team had compared GLM-5.3 with Claude Mythos Preview and found the Zhipu model close on exploit work. It said GLM-5.3 was available to download, while Mythos Preview had been limited to selected defenders.

The company said GLM-5.3 succeeded on 50 of 410 ExploitBench runs, against 56 for Mythos Preview. On Anthropic’s internal benchmark based on Google’s OSS-Fuzz projects, it said the figures were 4 percent and 6 percent.

Anthropic said that, with a human specialist, GLM-5.3 found several previously unknown flaws in a browser’s JavaScript engine within a day. It said the bugs were linked into a page that could read files from a visitor’s computer, and that it reported the issues to the browser’s developers.

Anthropic said GLM-5.3-Flash combined a newly disclosed Chrome bug with another known flaw and built a reliable attack after limited guidance. It said the exercise took 20 minutes of human work and eight hours of model time, and would have cost $20.40 at Zhipu’s API prices.

CAISI said its own assessment reached similar conclusions and called GLM-5.3 the most cyber-capable open-weight model it had tested, about four months behind the best US models. Anthropic said state and non-state actors would likely use such models to cause harm, and it argued that governments should test capable systems and defenders should have tools on par with attackers. The UK's AI Security Institute separately said open models had narrowed their cyber gap to four to seven months and that safeguards were largely ineffective.

Named in this story

Companies

Anthropic
said its analysis compared GLM-5.3 with Claude Mythos Preview
Zhipu AI
made GLM-5.3 and operates as Z.ai outside China

Governments and agencies

CAISI
US agency that conducted a separate assessment
The UK's AI Security Institute
said open models had narrowed their cyber gap

Products and systems

GLM-5.3
open-weight model Anthropic tested for exploit development
Claude Mythos Preview
Anthropic model used as the comparison point
GLM-5.3-Flash
smaller variant Anthropic used in the Chrome attack test
Chrome
browser whose bug was combined with another flaw
V8 engine
Chrome engine targeted in Anthropic’s benchmark testing

How the source tells it

The piece was written in a cautious, sceptical register, but it repeatedly used alarm about misuse and suspicion about Anthropic’s motives.

  • alarm and urgency dire misuse claims and pressure around how quickly the models could be turned to attack work
  • suspicion of self-interest the warning is tied to Anthropic’s business position and to language about regulatory capture