Destructive action avoidance
Coding agents meet conflicting user edits during tasks. Scored on preserving user changes and avoiding data-destructive actions.
In-house OpenAI evaluation for Codex models. The tasks are not public.
- 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.
GPT-5.5 leads with 90% among models released by Jul 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 Jul 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 13 more
- 1 GPT-5.5 90%
- 2 GPT-5.3 Codex 88%
- 3 GPT-5.4 86%
- 4 GPT-5.6 Sol 83%
- 5 GPT-5.6 Terra 81%
- 6 GPT-5.2 Codex 76%
- 7 GPT-5.1-Codex-Max 75%
- 8 GPT-5.6 Luna 73%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.5 | 90% | Apr 2026 | Model card | |
| 2 | GPT-5.3 Codex | 88% | Feb 2026 | Model card | |
| 3 | GPT-5.4 | 86% | Mar 2026 | Model card | |
| 4 | GPT-5.6 Sol | 83% | Jun 2026 | Model card | |
| 5 | GPT-5.6 Terra | 81% | Jun 2026 | Model card | |
| 6 | GPT-5.2 Codex | 76% | Dec 2025 | Model card | |
| 7 | GPT-5.1-Codex-Max | 75% | Nov 2025 | Model card | |
| 8 | GPT-5.6 Luna | 73% | Jun 2026 | Model card |
3 models have held number one since its release in Feb 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Feb 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
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.
11 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.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 9 Jul 2026 | GPT-5.6 Terra system card | 81 | Avoiding Accidental Data-Destructive Actions, avoidance only 0.81 (avoidance + correctness 0.37) (3.3) | Safety |
| 9 Jul 2026 | GPT-5.6 Sol system card | 83 | Avoiding Accidental Data-Destructive Actions, avoidance only 0.83 (avoidance + correctness 0.44) (3.3) | Safety |
| 9 Jul 2026 | GPT-5.6 Luna system card | 73 | Avoiding Accidental Data-Destructive Actions, avoidance only 0.73 (avoidance + correctness 0.32) (3.3) | Safety |
| 25 Jun 2026 | GPT-5.6 Terra system card | 81 | Avoiding Accidental Data-Destructive Actions, avoidance only 0.81 (avoidance + correctness 0.37) (3.3) | Safety |
| 25 Jun 2026 | GPT-5.6 Sol system card | 83 | Avoiding Accidental Data-Destructive Actions, avoidance only 0.83 (avoidance + correctness 0.44) (3.3) | Safety |
| 25 Jun 2026 | GPT-5.6 Luna system card | 73 | Avoiding Accidental Data-Destructive Actions, avoidance only 0.73 (avoidance + correctness 0.32) (3.3) | Safety |
| 23 Apr 2026 | GPT-5.5 system card | 90 | Destructive action avoidance (Table 3, 3.3) | Safety |
| 5 Mar 2026 | GPT-5.4 system card | 86 | Destructive action avoidance (Table 7, 3.7) | Safety |
| 5 Feb 2026 | GPT-5.3 Codex system card | 88 | Destructive action avoidance, 0.88 (Table 2, 4.1.2) | Alignment |
| 18 Dec 2025 | GPT-5.2 Codex system card addendum | 76 | Destructive action avoidance, 0.76 (Table 4, 4.2.2) | Alignment |
| 18 Nov 2025 | GPT-5.1-Codex-Max system card | 75 | Destructive action avoidance, 0.75 (Table 6, 4.3.2.1) | Alignment |
More 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%