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CyberGym-E2E-AA (Artificial Analysis)

Agents · 2026-09-25

Artificial Analysis' implementation of Berkeley RDI's CyberGym-E2E on a filtered set of 131 memory-safety vulnerabilities, one per OSS-Fuzz project, excluding tasks with oracle leaks or sandbox constraints. A task passes when the agent's proof of concept crashes the unpatched build, its patch fixes that crash and the project still passes its functionality tests (stages 1-3); ground-truth repair is diagnostic only. Runs use the Stirrup harness with 90 minutes per task, scoring pass@1.

Top models (higher is better)

ModelScore
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GPT-6 Luna77.9
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Kimi K358.0
Beam 1.0 501B A23B45.0
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MiniMax M324.4
DeepSeek V4.1 Flash22.9
Nemotron 3 Ultra 550B A55B10.7
Gemini 3.8 Flash8.4
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GPT-6 Sol0.0
Qwen3.8 2.4T A95B0.0
Qwen3.8 27B0.0
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