Sandbox Bench
Agents find and exploit vulnerabilities in runtimes, file format parsers and egress proxies across 22 challenges. Success means recovering the protected flag.
In-house OpenAI evaluation. Most targets are undisclosed zero days.
- Level
- Research frontier Researchers, on open problems or tasks that take days
- 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.
GPT-6 Astra leads with 45.5%
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 45.5%
- 2 GPT-6.1 Terra 22.7%
- 3 GPT-6 Luna 4.50%
- 4 GPT-6 Sol 4.50%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 45.5% | Sep 2026 | Model card | |
| 2 | GPT-6.1 Terra | 22.7% | Oct 2026 | Model card | |
| 3 | GPT-6 Luna | 4.50% | Sep 2026 | Model card | |
| 4 | GPT-6 Sol | 4.50% | Sep 2026 | Model card |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
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.
4 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 |
|---|---|---|---|---|
| 26 Oct 2026 | GPT-6.1 Terra system card addendum | 22.7 | Sandbox Bench, 5 of 22 targets succeeded (Figure 28, 9.0.2.3) | Cyber risk |
| 22 Sep 2026 | GPT-6 Sol system card | 4.5 | Sandbox Bench, 1 of 22 targets (A.8.1.2.3) | Cyber risk |
| 22 Sep 2026 | GPT-6 Luna system card | 4.5 | Sandbox Bench, 1 of 22 targets (A.8.1.2.3) | Cyber risk |
| 3 Sep 2026 | GPT-6 Astra system card | 45.5 | Sandbox Bench, 10 of 22 targets (10.1.2.4) | Cyber risk |
More in Cybersecurity
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- CWE-bench In use Agents audit a repository and write a patch for a security flaw, without being told where the bug is. Covers six programming languages.
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- Artificial Analysis Cyber Index In use Agents do enterprise cyber defense tasks from three benchmarks, CWE-Bench-AA, DeepsecBench-AA and CyberGym-E2E-AA, combined into one success rate.
Mistral Large 4 (Le Chonk, open weights) 51%
- Big Sleep Evaluation (Google) In use Agents search large real codebases such as Chrome and Safari for critical, hard to find vulnerabilities. Scored by pass@1 success rate, run without safety guardrails.
Gemini 3.5 Flash Cyber 72%