SAD - Predict Words (Situating Prompt): leaderboard
Metric: Self-prediction score (%, higher is better). Source: github.com. 23 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 7B | 57.89 |
| 2 | Claude 3.5 Sonnet (20240620) | 49.64 |
| 3 | Llama 2 13B | 47.44 |
| 4 | GPT-4 (0613) | 46.19 |
| 5 | GPT-4 Preview (0125) | 40.91 |
| 6 | Llama 3 70B Chat | 38.56 |
| 7 | Claude 3 Opus (20240229) | 38.41 |
| 8 | GPT-4 Base | 34.35 |
| 9 | Claude 3 Sonnet (20240229) | 28.4 |
| 10 | GPT-4o | 25.72 |
| 11 | Claude Instant 1.2 | 24.17 |
| 12 | Claude 3 Haiku (20240307) | 23.75 |
| 13 | GPT-3.5 Turbo (0613) | 17.4 |
| 14 | Claude 2.1 | 16.26 |
| 15 | davinci-002 | 14.2 |
Interactive version: theaggregate.ai/benchmark?slug=sad-predict-words-situating-prompt · How It Works · Data refreshed daily, snapshot 2026-09-19.