SaLAD - Unsafe Queries: leaderboard

The 1,070 hazardous queries of SaLAD (Lou et al., ACL 2026 Findings), in which an everyday photo and question together imply a risky behaviour such as mixing cleaning products. Accuracy in percent: a GPT-4o judge counts an answer correct only when it names and explains the specific risk, and a bare refusal counts as wrong; higher is better.

Metric: Accuracy rate (%; GPT-4o judge; 1,070 hazardous daily-life queries whose answer must name and explain the specific risk; a bare refusal is wrong). Source: arxiv.org. Saturation forecast: Estimated already saturated. 18 models tracked.

Top models

#ModelScoreOverall rank
1Claude 3.7 Sonnet57.2#455
2Gemini 2.5 Flash55.05#452
3GPT-4o53.83#741
4Qwen 2.5 VL 7B31.59#1796
5MiniCPM-V-2.623.93#3095

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=salad-unsafe-queries · How It Works · Data refreshed daily, snapshot 2026-11-12.