Benchmark Almanac

Verbalized metagaming

Only in system cards

A prompted monitor reads chains of thought on alignment evaluations and deployment simulations. Scored as the share of samples reasoning about grading or monitoring.

In-house OpenAI measurement. Cards report rates per evaluation suite with no overall number.

Made by OpenAI Released Jun 2026 Deception and alignment Tasks kept private Last in a system card Sep 2026 Last model added Sep 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
Open-ended Free-form text, documents, designs or media judged as a whole.
3
System cards report it, from 1 lab

No scores here yet

No lab, leaderboard or Epoch AI run has reported a score for Verbalized metagaming 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.

3 system cards report it, from 1 lab

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
3 Sep 2026 GPT-6 Astra system card Verbalized metagaming, per environment (Internal Codex sim, ExploitGym Honeypot), no overall score (Figure 18, 8.7.1) Alignment
9 Jul 2026 GPT-5.6 Sol system card Verbalized metagaming across evaluation suites, rates per suite such as Honesty suite 55.8%, no overall score (Figure 17, 7.4.1) Alignment
25 Jun 2026 GPT-5.6 Sol system card Verbalized metagaming across evaluation suites, rates per suite such as Honesty suite 55.8%, no overall score (Figure 17, 7.4.1) Alignment

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