PreAct-Bench - Law and Contract: 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 law and contract 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 law and contract domain. Source: arxiv.org. Saturation forecast: Not forecast. 18 models tracked.

Top models

#ModelScoreOverall rank
1Gemma 3 27B88.1#1631
2Qwen 3 30B A3B 2507 Instruct86.1#1089
3GPT-5.478.8#123
4Qwen 3 8B (Non-reasoning)77.3#1830 (Qwen 3 8B)
5Gemma 3 4B66.8#5064
6Qwen 3 0.6B (Non-reasoning)66.7#8342 (Qwen 3 0.6B)
7Qwen 3 30B A3B 2507 (Thinking)64.8#761
8Qwen 3 4B 2507 (Thinking)62.9#1390
9GPT-4o59.9#741
10Qwen 3 8B (Thinking)58.2#1830 (Qwen 3 8B)
11Qwen 3 0.6B (Thinking)56.3#8342 (Qwen 3 0.6B)
12Qwen 3 4B 2507 Instruct56.1#2163
13GPT-OSS-20B46.3#1147
14GPT-OSS-120B41.3#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-law-and-contract · How It Works · Data refreshed daily, snapshot 2026-11-13.