Capture the Flag (Internal)
Agents solve 63 public CTF challenges chosen for low GPT-5.3-Codex solve rates, using a Linux box with security tools. Scored as task success rate.
OpenAI says this set is harder than and different from the CTF sets it reported before GPT-5.6.
- 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.
GPT-5.6 Sol leads with 97.1% 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 14 more
- 1 GPT-5.6 Sol 97.1%
- 2 GPT-5.6 Luna 93.2%
- 3 GPT-5.6 Terra 91.8%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.6 Sol | 97.1% | Aug 2026 | Model card | |
| 2 | GPT-5.6 Luna | 93.2% | Aug 2026 | Model card | |
| 3 | GPT-5.6 Terra | 91.8% | Jun 2026 | Model card |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Jun 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.
8 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 |
|---|---|---|---|---|
| 6 Aug 2026 | GPT-5.6 Sol system card addendum | 97.1 | Capture the Flag (CTF) Challenges, 63 challenges, pass@12, representative checkpoint, printed chart label (Figure 7, 7.1.2.1.1) | Cyber risk |
| 6 Aug 2026 | GPT-5.6 Luna system card addendum | 93.2 | Capture the Flag (CTF) Challenges, 63 challenges, pass@12, representative checkpoint, printed chart label (Figure 7, 7.1.2.1.1) | Cyber risk |
| 9 Jul 2026 | GPT-5.6 Terra system card | 91.8 | Capture-the-Flags challenge tasks (Internal), 63 challenges, pass@1, printed chart label (Figure 30, 9.1.2.1.1) | Cyber risk |
| 9 Jul 2026 | GPT-5.6 Sol system card | 96.7 | Capture-the-Flags challenge tasks (Internal), 63 challenges, pass@1, printed chart label (Figure 30, 9.1.2.1.1) | Cyber risk |
| 9 Jul 2026 | GPT-5.6 Luna system card | 85.2 | Capture-the-Flags challenge tasks (Internal), 63 challenges, pass@1, printed chart label (Figure 30, 9.1.2.1.1) | Cyber risk |
| 25 Jun 2026 | GPT-5.6 Terra system card | 91.8 | Capture-the-Flags challenge tasks (Internal), 63 challenges, pass@1, printed chart label (Figure 30, 9.1.2.1.1) | Cyber risk |
| 25 Jun 2026 | GPT-5.6 Sol system card | 96.7 | Capture-the-Flags challenge tasks (Internal), 63 challenges, pass@1, printed chart label (Figure 30, 9.1.2.1.1) | Cyber risk |
| 25 Jun 2026 | GPT-5.6 Luna system card | 85.2 | Capture-the-Flags challenge tasks (Internal), 63 challenges, pass@1, printed chart label (Figure 30, 9.1.2.1.1) | Cyber risk |
More in Cybersecurity
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- ExploitBench In use 41 recent V8 JavaScript-engine N-day vulnerabilities. Progress measured by 16 grader-verified capability flags across five tiers. GPT-6 Astra 100%
- 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.
Gemini 4 Carbon 71%
- Real-world vulnerability discovery In use Agents search popular open-source codebases to rediscover about 1,200 recent confirmed vulnerabilities across many languages. Reports share discovered.
Gemini 4 Argon 86%
- 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%