CommunityBench - Community Identification: leaderboard

Given a query, candidate replies and an observed vote distribution, the model names which Reddit community produced it. Accuracy (%), higher is better; the authors find most models keep at least 85% of this accuracy without the distribution, so it partly measures recognition of Reddit content (CommunityBench, Jiayu Lin and Zhongyu Wei, Fudan University, 2026).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 17 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o84.3#741
2DeepSeek V3 (0324)82.32#704
3Grok 482.23#306
4Llama 3.1 70B Instruct77.02#1541
5Llama 3.3 70B Instruct73.8#1353
6Qwen 2.5 72B Instruct68.96#1093
7Qwen 2.5 14B Instruct68.53#1745
8GLM-4 32B (0414)67.18#1407
9Qwen 3 32B60.86#960
10Qwen 2.5 7B Instruct58.66#2583
11glm-4-9B (0414)51.25#2196
12InternLM3-8B-Instruct49.24#2586
13Mistral 7B Instruct (v0.3)48.55#6698
14Qwen 3 14B48.52#1235
15Llama 3.1 8B Instruct47.37#4277

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

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