PersonaTrail (AWM) - Multi-hop Episodic Grounding: leaderboard
PersonaTrail (2026) evaluates personalized web agents on live websites that must resolve under-specified requests from a raw browsing history, run through the Browser-Use agent framework. Task success in percent on multi-hop episodic grounding across several past sessions, with history supplied through AWM workflow memory; higher is better.
Metric: Task success rate (%; multi-hop episodic grounding across several past sessions; success judged by an LLM evaluator; live websites through a Browser-Use web agent with at most 30 steps and temperature 0, given memory from AWM (per-user workflow memory induced from past action trajectories); Gemini 3.1 Pro evaluator; the three proprietary backbones run on a 25% stratified subset). Source: arxiv.org. Saturation forecast: Around 2030. 6 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Haiku 4.5 | 21.3 | #568 |
| 2 | Qwen 3.6 27B | 17.84 | #341 |
| 3 | GPT-5.4 Mini | 14.8 | #389 |
| 4 | Gemma 3 27B (IT) | 12.15 | #1289 |
| 5 | Llama 4 Scout | 5.31 | #1776 |
| 6 | Gemini 3 Flash | 3.56 | #164 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=personatrail-awm-multi-hop-episodic-grounding · How It Works · Data refreshed daily, snapshot 2026-11-13.