PHANTOM - BAP ASR: leaderboard

Metric: Reported aggregate attack success rate (%) for BAP attacks on PHANTOM; lower is better for victim-model safety robustness. Paper §3.4 and Appendix C describe one fixed subset per attack reused across all models (nominal 1,100 attacks, 20 per subcategory), judged with Abel-24-HarmClassifier; empty API responses count as failed jailbreaks. Preserve reported aggregate rather than reconstructing a count from the nominal denominator.. Source: arxiv.org. 15 models tracked.

Top models

#ModelScore
1Claude Opus 4.67.91
2GPT-5.415.91
3Gemma 4 26B A4B (IT)22
4Gemini 3.1 Pro (Preview)38.36
5Claude Opus 4.838.73
6Qwen 3.6 27B39.82
7Qwen 3.5 27B40.91
8Qwen 3 VL 30B A3B Instruct42.73
9Claude Opus 4.743.64
10GPT-5.549.09
11Ministral-3-14B-Instruct-251267.73

Interactive version: theaggregate.ai/benchmark?slug=phantom-bap-asr · How It Works · Data refreshed daily, snapshot 2026-10-09.