Benchmark Almanac

Apollo Research sabotage evaluations

o4-mini 0.17 leads since Apr 2025 Only in system cards

Agents are told to sabotage another model through backdoors, sandbagging finetunes or hidden communication. Scored as mean task score from 0 to 1.

Third-party capability evaluation reported in OpenAI cards. Scores are mostly F1 variants.

Made by Apollo Research Released Apr 2025 Dangerous capabilities Tasks kept private Last in a system card Feb 2026 Last model added Feb 2026
Level
Expert Specialists with years of training, often over hours of work
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
3
Models scored in lab cards
3
System cards report it, from 1 lab

o4-mini leads with 0.17 among models released by Feb 2026

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 Feb 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 o4-mini 0.17
  2. 2 o3 0.58
  3. 3 GPT-5.3 Codex 0.88
#ModelScoreSettingDateSource
1 o4-mini 0.17 Apr 2025 Model card
2 o3 0.58 Apr 2025 Model card
3 GPT-5.3 Codex 0.88 Feb 2026 Model card

Number one over time

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

OpenAI
Lab claims Not tested since Feb 2026
o4-mini 0.17

Scores over time

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
0.00 0.20 0.40 0.60 0.80 1.00 2025 2026 0.00 0.20 0.40 0.60 0.80 1.00 2025 2026

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
5 Feb 2026 GPT-5.3 Codex system card 0.88 Apollo Research sabotage suite, mean best-of-10 score, max 1.00 (5.1.4) Alignment
16 Apr 2025 o4-mini system card 0.17 Apollo Research sabotage evaluations, mean score (Figure 26, 7.1.3) Alignment
16 Apr 2025 o3 system card 0.58 Apollo Research sabotage evaluations, mean score (Figure 26, 7.1.3) Alignment

More in Safety and alignment

All 444 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%
  • AgentDojo In use Agents do tool-use tasks while tools and data carry prompt injections. Attack success rate counts hijacked runs. Grok 4 Fast 0%
  • MASK In use Measures whether a model contradicts its own elicited beliefs under pressure to lie. Honesty separated from accuracy. Muse Spark Open 98.1%
  • 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. GPT-6 Astra 8.50%
  • Agentic misalignment suite (Anthropic) In use Agents in simulated company settings face threats or goal conflicts that invite blackmail, leaking or sabotage. Score is the misaligned action rate. Claude Sonnet 4.5 0%