BehaviorBench (Behavioral Traces) - Belief Choice (DirectGen): leaderboard

BehaviorBench (Yang et al., 2026) tests whether a model can predict what a real pseudonymous user will do, using 2,000 wallets reconstructed from public prediction-market and on-chain records with chronologically held-out targets. The model sees the recent raw history of the wallet (DirectGen). The board is the accuracy in percent of predicting the side (YES or NO) the user finally holds in a market; chance is 50 and higher is better.

Metric: Choice accuracy (%): predicted final revealed side (YES or NO) of the wallet in the target market; history interface DirectGen (the target wallet's most recent visible history, up to 30 events for Belief); 2,000 pseudonymous prediction-market wallets reconstructed from public Polymarket metadata and Polygon on-chain logs, 22,204 chronologically held-out wallet-market test instances; chance 50, context-only baseline 53.13; higher is better. Source: arxiv.org. Saturation forecast: Around March 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.470.75#123
2Claude Opus 470.22#322
3Gemma 3 12B (IT)70.21#1837
4Gemma 3 27B (IT)70.08#1289
5Claude 3.7 Sonnet67.68#458
6GPT-5.4 Mini66.34#389
7GPT-OSS-20B66#1147
8GPT-5.4 Nano65.8#635
9Llama 4 Scout Instruct64.77#1543
10Ministral-3-14B-Instruct-251259.82#1593
11NVIDIA-Nemotron-3-Nano-30B-A3B-BF1658.63#1767

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

Interactive version: theaggregate.ai/benchmark?slug=behaviorbench-behavioral-traces-belief-choice-directgen · How It Works · Data refreshed daily, snapshot 2026-11-13.