Robusto-2: leaderboard
As Self-Driving Cars continue to expand internationally and use multi-modal systems such as VLMs as a cognitive backbone for their Action models; how well will these systems generalize in new settings, in particular out-of-distribution (OOD) edge-case scenarios in new geographies? In this paper, we study this open question by providing a full factorial analysis with human drivers of Lima, human dr
Metric: Aggregate Accuracy (Reasoning) (self-reported). Source: benchmarklist.com. Saturation forecast: Estimated already saturated. 9 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-4o | 63.3 | #343 |
| 2 | Gemini 2.0 Flash | 60.3 | #342 |
| 3 | Claude 3.5 Sonnet | 59.5 | #350 |
| 4 | Gemma 3 27B | 58 | #607 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=robusto-2 · How It Works · Data refreshed daily, snapshot 2026-10-20.