Situational Awareness Dataset (SAD) (Situating Prompt): leaderboard

Full Situational Awareness Dataset: seven equally weighted categories testing model facts, influence, introspection, deployment stages, self-recognition, identity-dependent instructions and anti-imitation. Published model-specific tasks; not an anonymous self-forecast test. Uses a situating system prompt reminding the model that it is an LLM.

Metric: Score (%, higher is better). Source: situational-awareness-dataset.org. Saturation forecast: Estimated already saturated. 21 models tracked.

Top models

#ModelScoreOverall rank
1O1 Preview (2024-09-12)61.93#214
2Claude 3.5 Sonnet57.13#362
3O1 Mini (2024-09-12)55.37#412
4Claude 3 Opus53.37#565
5GPT-4 Preview (0125)51.52#500
6GPT-4o50.72#357
7Claude 3 Sonnet50.01#774
8Llama 3 Chat 70B49.34#772
9GPT-4 (0613)46.73#493
10Claude 2.146.19#833
11Claude 3 Haiku45.88#801
12Claude Instant 1.243.9#1003
13Llama 2 70B Chat40.23#1275
14GPT-3.5 Turbo (0613)38.42#1106
15Llama 2 13B Chat37.63#1414

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=situational-awareness-dataset-sad-situating-prompt · How It Works · Data refreshed daily, snapshot 2026-11-05.