Biological safety evaluations (OpenAI)
Only in system cards
Models answer biology requests drawn from deidentified production data and from easy and hard synthetic sets. Scored as the share of cases where model training alone prevents a violative response.
In-house OpenAI evaluation. The tasks are not public. A second table scores the model together with automated safety monitors.
Made by OpenAI Released May 2026 Refusing harmful requests Tasks kept private Last in a system card May 2026
Last model added May 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.
1
System card reports it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Biological safety evaluations (OpenAI) 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 |
|---|---|---|---|---|
| 4 May 2026 | GPT-5.5 Instant system card | Biological safety evaluations, model training alone, no overall score: Production Data 0.989, Synthetic Data (Easy) 0.944, Synthetic Data (Hard) 0.481 (Table 10). With automated monitors: Easy 0.993, Hard 0.923 (Table 11) | Safety |
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