BehaviorBench (Behavioral Traces) - Trade Direction (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 whether the next transaction of the user is a buy or a sell; chance is 50 and higher is better.
Metric: Direction accuracy (%): predicted BUY or SELL of the next transaction; 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, about 59,560 chronologically held-out test transactions; unparsable outputs count as failures; chance 50, context-only baseline 52.85; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 11 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Opus 4 | 69.57 | #322 |
| 2 | GPT-5.4 | 69.11 | #123 |
| 3 | GPT-5.4 Mini | 67.61 | #389 |
| 4 | Claude 3.7 Sonnet | 67.58 | #458 |
| 5 | Gemma 3 12B (IT) | 64.57 | #1837 |
| 6 | Llama 4 Scout Instruct | 63.47 | #1543 |
| 7 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | 62.66 | #1767 |
| 8 | Gemma 3 27B (IT) | 61.35 | #1289 |
| 9 | GPT-OSS-20B | 60.69 | #1147 |
| 10 | GPT-5.4 Nano | 57.94 | #635 |
| 11 | Ministral-3-14B-Instruct-2512 | 53.69 | #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-trade-direction-profilegen · How It Works · Data refreshed daily, snapshot 2026-11-13.