SAD - Predict Words: leaderboard
Metric: Self-prediction score (%, higher is better). Source: github.com. 23 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 7B | 61.22 |
| 2 | GPT-4 (0613) | 48.74 |
| 3 | Llama 2 13B | 48.67 |
| 4 | Claude 3.5 Sonnet (20240620) | 48.41 |
| 5 | Llama 3 70B Chat | 40.56 |
| 6 | GPT-4 Preview (0125) | 40.24 |
| 7 | Claude 3 Opus (20240229) | 37.96 |
| 8 | GPT-4 Base | 35.65 |
| 9 | Claude 3 Sonnet (20240229) | 29.07 |
| 10 | GPT-4o | 26.84 |
| 11 | Claude 3 Haiku (20240307) | 25.77 |
| 12 | Claude Instant 1.2 | 23.61 |
| 13 | Claude 2.1 | 22.18 |
| 14 | davinci-002 | 15.47 |
| 15 | GPT-3.5 Turbo (0613) | 14.05 |
Interactive version: theaggregate.ai/benchmark?slug=sad-predict-words · How It Works · Data refreshed daily, snapshot 2026-09-19.