Semgrep: GLM 5.2 beats Claude in our Cyber Benchmarks
Semgrep tested its cyber benchmarks against various LLMs, finding that GLM 5.2 outperformed Claude on these security-focused tasks. The results highlight that specialized models can surpass general-purpose frontier models in domain-specific evaluations like cybersecurity.
Background
- Semgrep is a developer-focused code security company (semgrep.dev) that makes a popular open-source static analysis tool for finding bugs and vulnerabilities in code.
- GLM is a series of large language models developed by Zhipu AI, a major Chinese AI company. GLM 5.2 is their latest flagship model, claimed to be competitive with frontier models from OpenAI and Anthropic.
- Claude is Anthropic's family of AI models (Claude 3.5 Sonnet, Claude 4, etc.), widely considered among the best LLMs for coding and reasoning tasks.
- The article describes Semgrep's internal "cyber benchmarks" — tests that evaluate how well AI models can solve cybersecurity challenges like reverse engineering, exploit writing, and vulnerability analysis.
- The claim that a Chinese model (GLM 5.2) beats Claude on these security-specific benchmarks is notable because it suggests the competitive landscape for AI coding/security capabilities is broadening beyond the usual US leaders (OpenAI, Anthropic, Google).
- The title "We have Mythos at home" is a play on a meme ("We have [X] at home") and likely references Zhipu's own "Mythos" model series, implying GLM 5.2 may be a renamed or evolved version of that line.