ProactBench - Emergent: leaderboard
Metric: Pass rate (%) on the Emergent triggers (turns 1-3: inferring an unstated need from a single disclosed anchor) over the 198 curated dialogues of ProactBench (about 624 rubric-scored trigger points: 201 Emergent, 232 Critical, 191 Recovery), each trigger judged Pass, Partial or Fail by a GPT-5.4 judge against a rubric written before the model answers; dialogue histories are fixed from a curation run and the model regenerates only at the triggers, sampled once at temperature 0.7; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 16 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7 | 72.1 |
| 2 | Gemini 3.1 Pro (Preview) | 70.2 |
| 3 | GPT-5.5 | 68.7 |
| 4 | Kimi K2.6 | 67.4 |
| 5 | Gemini 2.5 Pro (Medium) | 66.2 |
| 6 | MiMo-V2.5-Pro | 65.7 |
| 7 | DeepSeek V4 Flash | 61.7 |
| 8 | Gemini 2.5 Flash | 60.7 |
| 9 | O4 Mini (2025-04-16) | 52.7 |
| 10 | GPT-4o (2024-11-20) | 33.8 |
| 11 | Llama 4 Maverick | 22.4 |
| 12 | Qwen 2.5 7B Instruct | 21.9 |
| 13 | Qwen 3 1.7B | 20.4 |
Interactive version: theaggregate.ai/benchmark?slug=proactbench-emergent · How It Works · Data refreshed daily, snapshot 2026-10-07.