Cyber Misuse Chat (FRR)
Can the model diagnose or complete difficult cybersecurity tasks?
Cybersecurity5 ranked models5 reported values1 reportsLower is better
Top rankings
One row per model, using its best reported score across effort settings.
| Rank | Model | Best score | Best reported setting |
|---|---|---|---|
| 1 | Gemini 3.1 ProGoogle | 0.1% | high effortMeta report1 value · 1 reportJul 9, 2026 · source |
| 2 | GPT-5.5OpenAI | 1.3% | xhigh effortMeta report1 value · 1 reportJul 9, 2026 · source |
| 3 | Claude Opus 4.8Anthropic | 2.2% | max effortMeta report1 value · 1 reportJul 9, 2026 · source |
| 4 | Muse Spark 1.1Meta | 5.7% | xhigh effortMeta report1 value · 1 reportJul 9, 2026 · source |
| 5 | Muse Spark 1.0Meta | 11.0% | Reported configurationMeta report1 value · 1 reportJul 9, 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. Lower is better. The source reports a false-refusal rate as a percentage.
Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.
Method / source