Benchmark Almanac

Challenging prompts from red teamers with biosafety-relevant PhDs

GPT-5 mini 93.6% leads since August 2025
Only in system cards

Models answer adversarial biology prompts written by red teamers with biosafety PhDs. Scored as not_unsafe rate from model training alone.

In-house OpenAI safeguard test set first shared in the ChatGPT agent system card.

Made by
OpenAI
Released
August 2025
Kind
Refusing harmful requests
Level
Expert
Scored
Graded by a model
Answers
Open-ended
Tasks
Kept private
Strongest model tested
GPT-5 #70 on the capability index
Last in a system card
August 2025
Last model added
August 2025
3
Models scored in lab cards
3
System cards report it, from 1 lab

GPT-5 mini leads with 93.6% among models released by August 2025

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

The newest model with a score here came out in August 2025, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 GPT-5 mini 93.6%
  2. 2 GPT-5 92.1%
  3. 3 ChatGPT agent 87.9%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 GPT-5 mini 93.6% Aug 2025 Lab model card
2 GPT-5 92.1% Aug 2025 Lab model card
3 ChatGPT agent 87.9% Jul 2025 Lab model card

2 models have held number one in labs’ own numbers since its release in August 2025

Lab claims count from the day the card came out, independent runs from the model’s release.

OpenAI
Lab claims Passed 85% in Aug 2025, by ChatGPT agent
GPT-5 mini 93.6%

Source: Labs’ model cards

OpenAI’s own number for ChatGPT agent passed 85% in July 2025

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% Near the ceiling (85%) GPT-5 mini ChatGPT agent 0% 20% 40% 60% 80% 100% Near the ceiling (85%) GPT-5 mini

Source: Labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 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
Aug 7, 2025 GPT-5 system card 92.1 Challenging prompts from red teamers with biosafety-relevant PhDs, not_unsafe (Table 20) Safety
Aug 7, 2025 GPT-5 mini system card 93.6 Challenging prompts from red teamers with biosafety-relevant PhDs, not_unsafe, gpt-5-thinking-mini (Table 20) Safety
Jul 17, 2025 ChatGPT agent system card 87.9 Challenging prompts from red teamers with biosafety-relevant PhDs, not_unsafe, Agent release candidate (Table 18) Safety

More in Safety and alignment

All 465 in Safety and alignment
  • FORTRESS In use Paired adversarial and benign national-security misuse prompts. Rubric-graded risk score on adversarial and over-refusal score on benign prompts. Claude Opus 5.5 5.78%
  • StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is. Inkling 98.6%
  • 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. Gemini 4 Carbon 0%
  • DistressBench In use Models reply as a chatbot to 718 simulated users in psychological crisis, in single-turn and multi-turn chats. Three judge models score replies against clinician-written rubrics. Muse Spark 1.2 88.4%
  • Lakera B3 (Backbone Breaker Benchmark) In use Crowdsourced prompt-injection attacks hit backbone LLMs inside agent threat snapshots at three defense levels. The score is attack resistance, 100 minus the board's vulnerability percentage. Claude Opus 4.5 89%
  • IHEval In use Models face conflicts between system, user and tool instructions. Reports a composite score for following the higher-priority instruction. GPT-4o 70%