PersonaTrail (ReasoningBank) - Multi-hop Preference Inference: leaderboard

Metric: Task success rate (%; multi-hop preference inference over several websites; success needs every website, the intent and the preference satisfied; live websites through a Browser-Use web agent with at most 30 steps and temperature 0, given memory from ReasoningBank (per-user reasoning items distilled from successful and failed trajectories); 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

#ModelScore
1Browser Use + Qwen3.6-27B13.73
2Browser Use + Claude Haiku 4.59.44
3Browser Use + Gemini-3-Flash9.19
4Browser Use + GPT-5.4-mini1.91
5Browser Use + Gemma-3-27B-it0.39
6Browser Use + Llama-4-Scout0.39

Interactive version: theaggregate.ai/benchmark?slug=personatrail-reasoningbank-multi-hop-preference-inference · How It Works · Data refreshed daily, snapshot 2026-09-29.