Static Jailbreak EvaluationBrowse 284 families

Static Jailbreak Evaluation

Does the model follow the publisher's safety policy under challenging prompts?

Version / measure
Domain
Safety
Ranked models
2
Reported values
2
Reports
1 · lab
Direction
Higher is better
Status
Latest stable

Rankings

Best reported score per model across effort settings

2 models
#ModelBest settingScore
1GPT-6 SolOpenAIreportedcost n/a1 value · Sep 22 · source85.8%
2GPT-6 LunaOpenAIreportedcost n/a1 value · Sep 22 · source73.8%

Effort curve

Score vs. reported cost. Lines connect complete sweeps only.

0 values
No cost-linked effort sweep for this version.
Definition and comparison boundaryinternal methodology

Does the model follow the publisher's safety policy under challenging prompts?

Publisher-defined safety behavior, robustness, or preparedness evaluations under the stated test protocol. Higher is better. The value is the percentage reported in this lab's table.

This is a publisher-defined internal evaluation. The task set or grading details are not fully public, so treat it as directional evidence.

OpenAI's system card prints defender success with 95% confidence intervals: GPT-6 Sol 85.8% (81.8–88.9), GPT-6 Luna 73.8% (69.1–77.9). The card cautions that Luna's higher scores may reflect broader refusal behavior, including on legitimate requests.

Method / source ↗