Prompt injection robustness
Agents meet indirect prompt injection attacks inside tool outputs. Scored as defender success rate averaged per defender query.
In-house OpenAI evaluation. 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-6 Astra leads with 99.8%
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.
- 1 GPT-6 Astra 99.8%
- 2 GPT-6 Sol 99%
- 3 GPT-6.1 Sol 99%
- 4 GPT-6 Luna 98.6%
- 5 GPT-5.6 Luna 97.1%
- 6 GPT-5.6 Terra 96.7%
- 7 GPT-5.6 Sol 96.2%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 99.8% | Sep 2026 | Model card | |
| 2 | GPT-6 Sol | 99% | Sep 2026 | Model card | |
| 3 | GPT-6.1 Sol | 99% | Sep 2026 | Model card | |
| 4 | GPT-6 Luna | 98.6% | Sep 2026 | Model card | |
| 5 | GPT-5.6 Luna | 97.1% | Jul 2026 | Model card | |
| 6 | GPT-5.6 Terra | 96.7% | Jul 2026 | Model card | |
| 7 | GPT-5.6 Sol | 96.2% | Jul 2026 | Model card |
2 models have held number one since its release in Jul 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Jul 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 |
|---|---|---|---|---|
| 29 Oct 2026 | GPT-6 Luna system card addendum | 94.5 | GPT-RED indirect prompt-injection robustness, averaged across reasoning levels (Table 4) | Robustness |
| 26 Oct 2026 | GPT-6.1 Terra system card addendum | GPT-Red indirect prompt injection, defender success rate averaged per defender query, the plot is missing from the PDF and the text says Terra is similar to GPT-6 Astra and GPT-6.1 Sol (4.2) | Robustness | |
| 7 Oct 2026 | GPT-6 Sol system card addendum | 97.1 | GPT-RED indirect prompt-injection robustness, averaged across reasoning levels (Table 4) | Robustness |
| 7 Oct 2026 | GPT-6 Luna system card addendum | 95.8 | GPT-RED indirect prompt-injection robustness, averaged across reasoning levels (Table 4) | Robustness |
| 29 Sep 2026 | GPT-6.1 Sol system card addendum | 99 | Prompt injection robustness, printed chart label (Figure 3, 4.2) | Robustness |
| 22 Sep 2026 | GPT-6 Sol system card | 99 | Prompt injection robustness, indirect prompt injection, printed chart label (Figure 59, A.3.2) | Robustness |
| 22 Sep 2026 | GPT-6 Luna system card | 98.6 | Prompt injection robustness, indirect prompt injection, printed chart label (Figure 59, A.3.2) | Robustness |
| 3 Sep 2026 | GPT-6 Astra system card | 99.8 | Indirect prompt injection robustness, defender success rate averaged per defender query, printed chart label (Figure 4, text 99.79%) | Robustness |
| 9 Jul 2026 | GPT-5.6 Terra system card | 96.7 | GPT-Red Indirect Prompt Injections, attack success 3.32% per defender query, recorded as defender success (4.2, added August 3, 2026) | Robustness |
| 9 Jul 2026 | GPT-5.6 Sol system card | 96.2 | GPT-Red Indirect Prompt Injections, attack success 3.77% per defender query, recorded as defender success (4.2, added August 3, 2026) | Robustness |
| 9 Jul 2026 | GPT-5.6 Luna system card | 97.1 | GPT-Red Indirect Prompt Injections, attack success 2.94% 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%
- 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%