InsightVQA - Intent Reasoning: leaderboard
InsightVQA (2026) is a hierarchical visual question answering benchmark on emotion-annotated images drawn from six public sources. This board is accuracy (%) on single-choice questions that ask for the most appropriate underlying response intent given the emotional state shown; higher is better.
Metric: Accuracy (%) on single-choice questions asking for the most appropriate underlying response intent given the emotional state and its visual evidence, in InsightVQA-Bench, the held-out test split (a tenth of the data, about 30,000 questions) of emotion-annotated images from six public sources; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 14 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude 3.7 Sonnet | 61.87 | #458 |
| 2 | Qwen 2.5 VL 72B Instruct | 57.24 | #846 |
| 3 | Gemini 2.5 Flash | 56.08 | #453 |
| 4 | GPT-4o | 50.34 | #741 |
| 5 | Qwen 2.5 VL 32B Instruct | 44.02 | #1053 |
| 6 | DeepSeek V3.2 | 41.6 | #406 |
| 7 | Qwen 2.5 VL 7B Instruct | 30.92 | #1833 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=insightvqa-intent-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-13.