KnowHal - Positive Questions: leaderboard
Metric: Accuracy (%; mean over the entity, attribute, relation and knowledge dimensions on questions about valid visual evidence or facts; 1,800 entity-image samples in 10 domains with paired positive and false-premise negative questions; positive answers scored by standard VQA answer normalization and soft matching, negative answers by a GPT-4o-mini judge (option matching for relation questions); zero-shot). Source: arxiv.org. Saturation forecast: Around December 2026. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Flash (Preview) | 86.6 |
| 2 | Seed 2.0 Mini | 85 |
| 3 | Kimi K2.5 | 79.2 |
| 4 | GLM-4.6V | 77.1 |
| 5 | Qwen 3 VL 32B Instruct | 76.9 |
| 6 | Qwen 2.5 VL 72B Instruct | 74.9 |
| 7 | GPT-5.6 Sol | 73.6 |
| 8 | GPT-5.2 | 67.9 |
| 9 | InternVL3.5-8B | 54.1 |
Interactive version: theaggregate.ai/benchmark?slug=knowhal-positive-questions · How It Works · Data refreshed daily, snapshot 2026-09-29.