ConsumerSimBench - Emotion Keywords: leaderboard
Metric: Criterion coverage (%) for T2 emotion keywords (the affective vocabulary of the real comments, matched semantically): the share of a topic's criteria that the model's generated comment set covers, each criterion judged pointwise by GPT-5.2 against its definition and examples, averaged over the 1,553 RedNote trending topics of ConsumerSimBench (23,122 criteria in all); the model writes 10 to 30 realistic comments per topic from a neutral event description, one call at temperature 0.7; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 56.9 |
| 2 | Gemini 3 Flash | 53.1 |
| 3 | Grok 4.20 | 52.5 |
| 4 | Qwen 3.5 397B A17B | 50.4 |
| 5 | Kimi K2.5 | 49 |
| 6 | MiniMax-M2.5 | 40.6 |
| 7 | MiMo-V2.5-Pro | 39.7 |
| 8 | Claude Opus 4.6 | 37.7 |
| 9 | GPT-4o | 35.8 |
| 10 | GPT-5.2 | 35.1 |
| 11 | Claude Sonnet 4.6 | 32.6 |
Interactive version: theaggregate.ai/benchmark?slug=consumersimbench-emotion-keywords · How It Works · Data refreshed daily, snapshot 2026-10-07.