Instruction hierarchy attacks
Models face attacks that try to override higher-priority instructions. Scored as defender success rate averaged per defender query.
In-house OpenAI evaluation. The tasks are not public.
- Made by
- OpenAI
- Released
- July 2026
- Kind
- Jailbreaks and prompt injection
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- Kept private
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last in a system card
- October 2026
- Last model added
- October 2026
3 models share the top score of 99.99% among models released by September 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 September 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6.1 Terra
-
Gemini 4 Argon
- and 11 more
- 1 GPT-6 Astra 99.99%
- 2 GPT-6.1 Sol 99.99%
- 3 GPT-6 Sol 99.99%
- 4 GPT-6 Luna 99.97%
- 5 GPT-5.6 Sol 99.9%
- 6 GPT-5.6 Terra 99.9%
- 7 GPT-5.6 Luna 99.9%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 99.99% | Sep 2026 | Lab model card | |
| 2 | GPT-6.1 Sol | 99.99% | Sep 2026 | Lab model card | |
| 3 | GPT-6 Sol | 99.99% | Oct 2026 | Lab model card | |
| 4 | GPT-6 Luna | 99.97% | Sep 2026 | Lab model card | |
| 5 | GPT-5.6 Sol | 99.9% | Jul 2026 | Lab model card | |
| 6 | GPT-5.6 Terra | 99.9% | Jul 2026 | Lab model card | |
| 7 | GPT-5.6 Luna | 99.9% | Jul 2026 | Lab model card |
2 models have held number one in labs’ own numbers since its release in July 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
OpenAI’s own number for GPT-5.6 Sol passed 85% in July 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
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.
10 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 |
|---|---|---|---|---|
| Oct 29, 2026 | GPT-6 Luna system card addendum | 99.9 | GPT-Red instruction hierarchy evaluations, robustness (4.2 text) | Robustness |
| Oct 7, 2026 | GPT-6 Sol system card addendum | 100 | GPT-Red instruction hierarchy evaluations, robustness (4.2 text) | Robustness |
| Oct 7, 2026 | GPT-6 Luna system card addendum | 99.8 | GPT-Red instruction hierarchy evaluations, robustness (4.2 text) | Robustness |
| Sep 29, 2026 | GPT-6.1 Sol system card addendum | 100 | Defender success rate averaged per defender query on instruction hierarchy attacks (Table 6) | Robustness |
| Sep 22, 2026 | GPT-6 Sol system card | 100 | Defender success rate averaged per defender query on instruction hierarchy attacks (Table 28) | Robustness |
| Sep 22, 2026 | GPT-6 Luna system card | 100 | Defender success rate averaged per defender query on instruction hierarchy attacks (Table 28) | Robustness |
| Sep 3, 2026 | GPT-6 Astra system card | 100 | Instruction hierarchy evaluations, robustness (5.2 text) | Robustness |
| Jul 9, 2026 | GPT-5.6 Terra system card | 99.9 | GPT-Red Instruction Hierarchy (Direct Prompt Injections), attack success 0.061% per defender query, recorded as defender success (4.2, added August 3, 2026) | Robustness |
| Jul 9, 2026 | GPT-5.6 Sol system card | 99.9 | GPT-Red Instruction Hierarchy (Direct Prompt Injections), attack success 0.051% per defender query, recorded as defender success (4.2, added August 3, 2026) | Robustness |
| Jul 9, 2026 | GPT-5.6 Luna system card | 99.9 | GPT-Red Instruction Hierarchy (Direct Prompt Injections), attack success 0.11% per defender query, recorded as defender success (4.2, added August 3, 2026) | Robustness |
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%
- 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%