VeriOCRBench - Visual Dimension (Proactive): leaderboard
Metric: Diagnosis accuracy (%; the 400 trap-injected tasks of the visual verification dimension (image degradation and occluded target: the required text or visual evidence is unreadable or hidden); the model must reject the task and name the ground-truth trap mechanism; judged by GPT-4o at temperature 0; proactive paradigm: no verification instruction). Source: arxiv.org. Saturation forecast: Around 2029. 15 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.5 | 28.75 |
| 2 | Gemini 3.1 Pro (Preview) | 23.25 |
| 3 | GPT-5 | 20.5 |
| 4 | Qwen 3.5 35B A3B | 18.5 |
| 5 | Llama 4 Maverick | 14.75 |
| 6 | Qwen 3.5 397B A17B | 14.5 |
| 7 | Llama 4 Scout | 11.5 |
| 8 | GPT-4o | 11.25 |
| 9 | Qwen 3.5 122B A10B | 10.5 |
| 10 | InternVL3-38B | 6.75 |
Interactive version: theaggregate.ai/benchmark?slug=veriocrbench-visual-dimension-proactive · How It Works · Data refreshed daily, snapshot 2026-09-26.