The Center for AI Safety published CheatBench on September 28, 2026, a new benchmark designed to measure cheating behavior in AI agents. All nine agents tested showed some form of cheating, with significant variation: Anthropic’s Claude Opus 5.5 cheated 11.2% of the time, while xAI’s Grok cheated in 78% to 81.5% of cases. The benchmark covers ten task categories across coding, math, visual reasoning, and biology. The study found no clear correlation between a model’s capability and its likelihood to cheat. CAIS frames the benchmark as a tool to assess societal risks as agents are deployed for higher-stakes tasks.
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