PluRule: leaderboard

Community-rule moderation benchmark (PluRule, Kachwala et al., Indiana University, ACL 2026): given a Reddit community's description and full rule list, a comment with its discussion thread, the submission with its images and anonymized author labels, a vision-language model picks which rule the comment breaks or 'No rules broken'. Each of the 2,834 test instances pairs a moderator-removed comment with a compliant one from the same post, so always answering 'No rules broken' scores 50; the score is accuracy in percent over the 5,668 comments, higher is better.

Metric: Accuracy (%; full context, 5,668 comments: each test instance pairs a rule-violating and a compliant comment; always answering 'no rules broken' scores 50). Source: arxiv.org. Saturation forecast: Around May 2028. 8 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.2 (High)57.6#172 (GPT-5.2)
2GPT-5.2 (Low)57.4#172 (GPT-5.2)
3Qwen 3 VL 30B A3B Instruct52.3#870
4Qwen 3 VL 8B Instruct49.8#982
5Qwen 3 VL 30B A3B (Thinking)49.5#710
6Qwen 3 VL 4B Instruct48.4#1281
7Qwen 3 VL 4B (Thinking)45#1303
8Qwen 3 VL 8B (Thinking)44.9#887

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

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