Cyber range exercisesBrowse 284 families
Cyber range exercises
Can the model diagnose or complete difficult cybersecurity tasks?
Version / measure
- Domain
- Cybersecurity
- Ranked models
- 5
- Reported values
- 5
- Reports
- 1 · lab
- Direction
- Higher is better
- Status
- Version not specified
Rankings
Best reported score per model across effort settings
| # | Model | Best setting | Score |
|---|---|---|---|
| 1 | GPT-5.5OpenAI | reportedcost n/a1 value · Aug 6 · source | 92.3% |
| 2 | GPT-5.6 SolOpenAI | reportedcost n/a1 value · Aug 6 · source | 83.3% |
| 3 | GPT-5.3-CodexOpenAI | reportedcost n/a1 value · Aug 6 · source | 76.9% |
| 4 | GPT-5.4OpenAI | reportedcost n/a1 value · Aug 6 · source | 69.2% |
| 5 | GPT-5.6 LunaOpenAI | reportedcost n/a1 value · Aug 6 · source | 61.5% |
Effort curve
Score vs. reported cost. 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 ↗