Is GLM-5.3-Flash Mythos-Level at Cyber? (generality.org)

The recent evaluation of GLM-5.3-Flash reveals that it may perform at a level comparable to Mythos in cybersecurity tasks, specifically in exploiting vulnerabilities to achieve Arbitrary Code Execution (ACE), critical for gaining full control over targets. In experiments using the newly modified ExploitBench, GLM-5.3-Flash scored ACE on 13 out of 41 samples, exceeding Mythos' average score of 10.1. This significant finding suggests that the performance metrics traditionally used may not adequately reflect the true capabilities of AI models, highlighting the need for more nuanced evaluations that consider cost-effectiveness and real-world applicability. The implications of these results are profound for the AI/ML community, particularly as GLM-5.3-Flash is accessible at a fraction of the cost of Mythos—just $0.25 per million output tokens compared to Mythos' $125. This democratization of advanced cyber capabilities raises concerns regarding security and the preparedness of existing systems to handle such developments. It serves as a critical reminder that capabilities previously thought to be confined to elite models may now be within reach for those willing to invest in AI technologies, urging model evaluators to reassess their metrics and the broader impact on cybersecurity.