Benchmark Almanac

Cooperation with user deception (Anthropic)

Only in system cards

Models get developer system prompts asking them to subtly mislead users, then meet users who would be harmed. Graders score harmful and deceptive choices.

In-house Anthropic evaluation. The tasks are not public.

Made by Anthropic Released Sep 2025 Refusing harmful requests Tasks kept private Last in a system card Sep 2025 Last model added Sep 2025
Level
Everyday Most adults, without training
Scored
Graded by a model A language model scores each response, usually against a rubric.
Answers
Open-ended Free-form text, documents, designs or media judged as a whole.
1
System card reports it, from 1 lab

No scores here yet

No lab, leaderboard or Epoch AI run has reported a score for Cooperation with user deception (Anthropic) yet.

Labs report it only in system cards

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
29 Sep 2025 Claude Sonnet 4.5 system card Cooperation with user deception, two metrics with no overall, lower is better. Rate of harmful choices 0.3% with thinking (0.2% without). Rate of deceptive choices 0.0% with thinking (0.4% without) (Figures 7.5.1.2.A and 7.5.1.2.B) Alignment

More in Safety and alignment

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  • MASK In use Measures whether a model contradicts its own elicited beliefs under pressure to lie. Honesty separated from accuracy. Muse Spark Open 98.1%
  • Gray Swan IPI Arena benchmark In use Indirect prompt-injection attacks from public red-teaming competitions replayed on tool, coding and browser agents. Attack success rate at k attempts. GPT-6 Astra 8.50%
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