PersonaTrail (AWM) - Single-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 single-hop episodic grounding (return to a page from a referenced past session), with history supplied through AWM workflow memory; higher is better.

Metric: Task success rate (%; single-hop episodic grounding: return to a specific page from a referenced past browsing session; 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 2029. 6 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 Mini13.73#389
2Gemini 3 Flash13.21#164
3Claude Haiku 4.512.9#568
4Gemma 3 27B (IT)9.93#1289
5Qwen 3.6 27B9.35#341
6Llama 4 Scout6.01#1776

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-single-hop-episodic-grounding · How It Works · Data refreshed daily, snapshot 2026-11-13.