ERQA-Plus - Contextual and Commonsense Reasoning: leaderboard
Metric: Multiple-choice accuracy (%) on the 297 contextual and commonsense reasoning questions; multiple-choice questions over single and multi-image embodied scenes, generated by GPT-4o and filtered by a Gemini 3 Pro judge agent over 1,766 questions; the model outputs only the option letter, read by regular expression; higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 32B (Thinking) | 88.6 |
Interactive version: theaggregate.ai/benchmark?slug=erqa-plus-contextual-and-commonsense-reasoning · How It Works · Data refreshed daily, snapshot 2026-09-29.