Text2DistBench - Most Frequent: leaderboard
Metric: Accuracy (fraction) of naming the most frequent topic or sentiment value in the comments, averaged over marginal, conditional and joint questions; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.1 | 0.84 |
| 2 | Grok 4 Fast | 0.81 |
| 3 | Gemini 2.5 Pro | 0.8 |
| 4 | Llama 3.3 70B | 0.76 |
| 5 | Claude Sonnet 4.5 | 0.75 |
| 6 | Qwen 3 32B | 0.67 |
Interactive version: theaggregate.ai/benchmark?slug=text2distbench-most-frequent · How It Works · Data refreshed daily, snapshot 2026-10-07.