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Zhipu claims GLM-5.3 outperforms Anthropic Fable 5 and OpenAI GPT-5.6 Sol on CyberGym vulnerability benchmark
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Chinese AI company Zhipu launched GLM-5.3, claiming it beats Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol on the CyberGym benchmark for real-world cybersecurity challenges, though it underperforms western models on other security and coding benchmarks.
A Chinese model matching or beating US models on vulnerability discovery narrows the strategic gap in AI-powered security analysis, with implications for both defensive bug-finding and offensive exploitation. The model reportedly found 2,436 vulnerabilities across 269 real-world projects, some decades old, suggesting meaningful practical capability rather than just benchmark optimization.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
GLM-5.3 claims state-of-the-art on CyberGym for vulnerability discovery, beating Fable 5 and GPT-5.6 Sol, but underperforms western models on other security and coding benchmarks.
Real-world testing with Chinese companies found 2,436 vulnerabilities across 269 projects, including 1,097 medium-to-high severity issues, with some dating back roughly 40 years.
The model reportedly reasons across multiple exploitation stages to form coherent plans for complete exploitation chains, not just identifying isolated flaws.
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