InsightVQA - Emotion Perception: leaderboard
Metric: Accuracy (%) on single-choice emotion-category and valence recognition questions (the answer plus three LLM-written distractors) 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 2030. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2.5 VL 7B Instruct | 57.95 |
| 2 | Gemini 2.5 Flash | 56.83 |
| 3 | Claude 3.7 Sonnet | 56.37 |
| 4 | Qwen 2.5 VL 72B Instruct | 53.83 |
| 5 | InternVL3.5-8B | 53.4 |
| 6 | Qwen 2.5 VL 32B Instruct | 52.8 |
| 7 | DeepSeek V3.2 | 51.2 |
| 8 | GPT-4o | 50.63 |
Interactive version: theaggregate.ai/benchmark?slug=insightvqa-emotion-perception · How It Works · Data refreshed daily, snapshot 2026-09-29.