PreAct-Bench - Daily Life: leaderboard

PreAct-Bench (2026) tests predictive monitoring: a model reads an agent trajectory with a hidden objective, cut just before its first overtly unethical step, and predicts whether it will turn unethical; ethical and unethical trajectories are paired per task. This board is the F1 score in percent with the full prefix on the daily life domain; higher is better.

Metric: Prefix Foresight F1 with the full prefix (PFF(100), binary F1 of the unethical class, 0-1 scaled to %): given an agent trajectory truncated just before its first overt unethical step, the monitor predicts whether the trajectory will turn unethical; paired ethical and unethical trajectories per task; default generation parameters; higher is better; the daily life domain. Source: arxiv.org. Saturation forecast: Not forecast. 18 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.477.9#123
2Gemma 3 27B71#1631
3Qwen 3 0.6B (Non-reasoning)66.7#8342 (Qwen 3 0.6B)
4Gemma 3 4B66.4#5064
5GPT-4o62.1#741
6Qwen 3 30B A3B 2507 Instruct58#1089
7Qwen 3 0.6B (Thinking)54.5#8342 (Qwen 3 0.6B)
8Qwen 3 8B (Non-reasoning)50.7#1830 (Qwen 3 8B)
9Qwen 3 8B (Thinking)39.4#1830 (Qwen 3 8B)
10Qwen 3 30B A3B 2507 (Thinking)33.2#761
11Qwen 3 4B 2507 Instruct26.1#2163
12Qwen 3 4B 2507 (Thinking)20.6#1390
13GPT-OSS-20B14.8#1147
14GPT-OSS-120B14.7#700

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=preact-bench-daily-life · How It Works · Data refreshed daily, snapshot 2026-11-13.