Cyber range exercises
Can the model diagnose or complete difficult cybersecurity tasks?
Cybersecurity5 ranked models5 reported values1 reportsHigher is better
Top rankings
One row per model, using its best reported score across effort settings.
| Rank | Model | Best score | Best reported setting |
|---|---|---|---|
| 1 | GPT-5.5OpenAI | 92.3% | Reported configurationOpenAI report1 value · 1 reportAug 6, 2026 · source |
| 2 | GPT-5.6 SolOpenAI | 83.3% | Reported configurationOpenAI report1 value · 1 reportAug 6, 2026 · source |
| 3 | GPT-5.3-CodexOpenAI | 76.9% | Reported configurationOpenAI report1 value · 1 reportAug 6, 2026 · source |
| 4 | GPT-5.4OpenAI | 69.2% | Reported configurationOpenAI report1 value · 1 reportAug 6, 2026 · source |
| 5 | GPT-5.6 LunaOpenAI | 61.5% | Reported configurationOpenAI report1 value · 1 reportAug 6, 2026 · source |
Effort curve
Every sourced cost-linked effort value for this exact version. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundarylimited methodology
Can the model diagnose or complete difficult cybersecurity tasks?
Security analysis or exploitation under a controlled evaluation environment. Higher is better. The value is the percentage reported in this lab's table.
Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.
Pass/fail over 16 cyber-range trials; a scenario passes when at least one trial succeeds.
Method / source