VQAv2
Visual Question Answering v2 is a large-scale benchmark for visual question answering containing over 1 million questions about images from COCO. It tests the ability to answer open-ended questions that require understanding image content.
Metrics
Accuracy (%) on visual questions
Created By
Virginia Tech / Georgia Tech
Paper
View paper →Website
Visit website →Top Model Scores
| Rank | Model | Score | Date |
|---|---|---|---|
| 1 | Gemini 3 Ultra | 88.9% | 2026-01 |
| 2 | GPT-5.2 | 88.3% | 2026-03 |
| 3 | Claude Opus 4.6 | 87.1% | 2026-02 |
| 4 | InternVL 3 | 85.4% | 2026-01 |
| 5 | Grok 4 | 84.8% | 2026-02 |
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