CAREBench - Positive Emotion Intensity: leaderboard
Metric: Normalized RMSE (0-1; positive emotion intensity, predicted from the first-person narrative against the narrator's own rating; 1,000 narratives, zero-shot, mean of five runs for open models). Source: arxiv.org. Saturation forecast: Around April 2027. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.2 (Non-reasoning) | 0.21 |
| 2 | Claude Sonnet 4.6 (Non-reasoning) | 0.21 |
| 3 | Qwen 3.5 9B (Non-reasoning) | 0.22 |
| 4 | Llama 3.1 8B Instruct | 0.25 |
Interactive version: theaggregate.ai/benchmark?slug=carebench-positive-emotion-intensity · How It Works · Data refreshed daily, snapshot 2026-09-26.