Persona2Web (Pre-Execution) - Intent Satisfaction: leaderboard
Metric: Intent satisfaction (times 100, 0-100): rubric credit for completing the task itself, apart from personalization, with partial credit when a correct action is blocked by the website; Persona2Web: 150 ambiguous queries for 50 synthetic users whose preferences appear only implicitly in long browsing and purchase histories (about 2,050 entries each), run on the real open web; the agent (AgentOccam or Browser Use, each extended with a planner, a history retriever and a generator that reasons over retrieved history) must resolve the missing website and preference from the history; a GPT-5-mini judge reads the full trajectory and reasoning against rubrics; pre-execution history access: the agent retrieves all relevant history before acting; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 10 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-4.1 | 53 | #240 |
| 2 | O3 | 45 | #121 |
| 3 | Qwen 3 Next 80B A3B Instruct | 40.7 | #352 |
| 4 | Gemini 2.5 Flash | 35 | #237 |
| 5 | Llama 3.3 70B Instruct | 19.7 | #520 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=persona2web-pre-execution-intent-satisfaction · How It Works · Data refreshed daily, snapshot 2026-10-11.