CommunityBench - Preference Distribution JSD: leaderboard

The model predicts how a Reddit community's votes split across candidate replies, scored by the Jensen-Shannon divergence between its predicted distribution and the vote-derived one (0-1, lower is better). The Kendall tau board scores the ordering of the same predictions (CommunityBench, Jiayu Lin and Zhongyu Wei, Fudan University, 2026).

Metric: Jensen-Shannon Divergence (0-1). Source: arxiv.org. Saturation forecast: Estimated already saturated. 17 models tracked.

Top models

#ModelScoreOverall rank
1DeepSeek R1 05280.11#425
2Grok 40.11#306
3Qwen 3 32B0.12#960
4Qwen 3 14B0.12#1235
5Qwen 3 8B0.12#1838
6InternLM3-8B-Instruct0.13#2586
7GPT-4o0.13#741
8Qwen 2.5 72B Instruct0.14#1093
9DeepSeek V3 (0324)0.14#704
10Qwen 2.5 14B Instruct0.14#1745
11GLM-4 32B (0414)0.14#1407
12Mistral 7B Instruct (v0.3)0.15#6698
13Qwen 2.5 7B Instruct0.16#2583
14glm-4-9B (0414)0.17#2196
15Llama 3.3 70B Instruct0.18#1353

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

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