RoboProcessBench - Outcome Prediction: leaderboard
Metric: Accuracy (%) on 793 questions asking whether the ongoing attempt will eventually succeed (2 options, chance 50.0); zero-shot multiple-choice VQA on held-out robot manipulation recordings from GM-100, RH20T, REASSEMBLE and AIST-Bimanual (ProcessData-Eval), temperature 0.01; higher is better. Source: arxiv.org. Saturation forecast: Around 2031. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | InternVL3-8B | 61.9 |
| 2 | InternVL3.5-8B | 61.9 |
| 3 | GPT-5.4 Mini | 56.1 |
| 4 | InternVL3-38B | 55.9 |
| 5 | Qwen 2.5 VL 7B Instruct | 54.6 |
| 6 | GLM-4.6V | 53 |
| 7 | Qwen 3 VL 32B | 50.6 |
| 8 | Claude Sonnet 4.6 | 49.7 |
| 9 | Claude Haiku 4.5 | 46.2 |
| 10 | GPT-4o | 41.1 |
Interactive version: theaggregate.ai/benchmark?slug=roboprocessbench-outcome-prediction · How It Works · Data refreshed daily, snapshot 2026-09-29.