Cheating audit on capability evaluations
Only in system cards
Reviewers audit agent transcripts from coding benchmarks for runs that obtain withheld information or use forbidden routes. Reports cheating rate per benchmark.
In-house Google DeepMind audit of TerminalBench 4.0 and an internal tool-replication benchmark.
Made by Google DeepMind Deception and alignment Tasks kept private Last in a system card Oct 2026
Last model added Oct 2026
- 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 Cheating audit on capability evaluations 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 |
|---|---|---|---|---|
| 13 Oct 2026 |  Gemini 4 Argon system card | Cheating in capability evaluations, two benchmarks with no overall: TerminalBench 4.0 cheating 1.4% (3/209 runs, attempts 2%), tool-replication benchmark cheating 4.0% (3.4.4.2) | Alignment |
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