Research sandbagging (Anthropic)
Only in system cards
Agents are told to sabotage a coding task or imitate a weaker model without alerting a weaker monitor. Measures the performance drop and monitor suspicion.
In-house Anthropic evaluation based on Gasteiger et al. 2025. Results are a scatter of task performance against monitor suspicion.
Made by Anthropic Released Sep 2025 Deception and alignment Tasks kept private Last in a system card Sep 2025
Last model added Sep 2025
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
1
System card reports it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Research sandbagging (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.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 29 Sep 2025 | Claude Sonnet 4.5 system card | Research sandbagging, task performance against Haiku 3.5 monitor suspicion, scatter without printed values. Text says weak model imitation with hidden reasoning cut performance by more than a third (7.5.10.2, Figure 7.5.10.2.A) | Alignment |
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