PersonaTrail (PACMem) - Single-hop Preference Inference: leaderboard
Metric: Task success rate (%; single-hop preference inference: an under-specified query whose missing preference must be inferred from recurring browsing behaviour; success needs the right website, the task intent and the preference all satisfied; live websites through a Browser-Use web agent with at most 30 steps and temperature 0, given memory from PACMem (the authors factual and preference memory built from the raw browsing history); Gemini 3.1 Pro evaluator; the three proprietary backbones run on a 25% stratified subset). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Browser Use + Claude Haiku 4.5 | 62.73 |
| 2 | Browser Use + Gemini-3-Flash | 60.03 |
| 3 | Browser Use + GPT-5.4-mini | 58.93 |
| 4 | Browser Use + Qwen3.6-27B | 53.61 |
| 5 | Browser Use + Gemma-3-27B-it | 41.48 |
| 6 | Browser Use + Llama-4-Scout | 21.6 |
Interactive version: theaggregate.ai/benchmark?slug=personatrail-pacmem-single-hop-preference-inference · How It Works · Data refreshed daily, snapshot 2026-09-29.