BehaviorBench (Behavioral Traces) - Belief Choice (RetrievalGen): 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 behavior of similar wallets retrieved from a separate support pool (RetrievalGen). 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 RetrievalGen (behaviorally similar examples retrieved from a disjoint support pool of wallets); 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.4 | 71.03 | #123 |
| 2 | Claude Opus 4 | 70.22 | #322 |
| 3 | Gemma 3 12B (IT) | 70.06 | #1837 |
| 4 | Gemma 3 27B (IT) | 69.89 | #1289 |
| 5 | Claude 3.7 Sonnet | 69.61 | #458 |
| 6 | GPT-5.4 Mini | 66.96 | #389 |
| 7 | GPT-5.4 Nano | 66.8 | #635 |
| 8 | Llama 4 Scout Instruct | 65.12 | #1543 |
| 9 | GPT-OSS-20B | 62.76 | #1147 |
| 10 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | 60.79 | #1767 |
| 11 | Ministral-3-14B-Instruct-2512 | 60.43 | #1593 |
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-retrievalgen · How It Works · Data refreshed daily, snapshot 2026-11-13.