ProEvent: leaderboard
ProEvent (2026) tests proactive agents that keep a user timetable current from ongoing instant-messaging chats with concurrent threads and noise, inserting, updating or deleting events as plans change. Share of 1,279 multi-step cases whose final timetable is entirely correct, in percent; higher is better.
Metric: Timetable success rate (%; share of the 1,279 multi-step cases whose final timetable has every event exactly right after all steps; synthesized instant-messaging chats (1,249 chats, concurrent threads, injected noise) from which a proactive agent must keep the user timetable up to date by inserting, updating or deleting events at each time window). Source: arxiv.org. Saturation forecast: Around February 2027. 6 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DeepSeek R1 | 27.2 | #473 |
| 2 | GPT-5.1 | 26.7 | #229 |
| 3 | DeepSeek V3.2 | 18.5 | #406 |
| 4 | Qwen 3 235B A22B | 13.6 | #623 |
| 5 | Qwen 3 8B | 7.8 | #1830 |
| 6 | Qwen 3 32B | 5.9 | #960 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=proevent · How It Works · Data refreshed daily, snapshot 2026-11-13.