BehaviorBench (Behavioral Traces) - Belief Choice (ProfileGen): 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 a structured profile summarizing the past behavior of the wallet (ProfileGen). 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 ProfileGen (a released structured profile summarizing the wallet's pre-target behavior); 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 February 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.473.2#123
2Claude Opus 471.47#322
3Claude 3.7 Sonnet71.18#458
4Gemma 3 12B (IT)71.17#1837
5Gemma 3 27B (IT)70.73#1289
6GPT-5.4 Mini69.24#389
7GPT-5.4 Nano68.62#635
8GPT-OSS-20B66.8#1147
9Llama 4 Scout Instruct65.88#1543
10Ministral-3-14B-Instruct-251262.18#1593
11NVIDIA-Nemotron-3-Nano-30B-A3B-BF1651.39#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-profilegen · How It Works · Data refreshed daily, snapshot 2026-11-13.