VeriOCRBench - Diagnosis Accuracy (Proactive): leaderboard
Metric: Diagnosis accuracy (%; share of VeriOCRBench's 1,600 trap-injected OCR reasoning tasks (8 trap types over visual, contextual, factual and logical premises, images from 8 OCR datasets, human-verified) on which the model both rejects the unexecutable task and names the ground-truth trap mechanism; judged by GPT-4o at temperature 0; model temperature 0 where supported; proactive paradigm: the standard image, textual premise and question with no verification instruction). Source: arxiv.org. Saturation forecast: Around 2030. 15 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.5 | 46.88 |
| 2 | Qwen 3.5 35B A3B | 25.81 |
| 3 | Gemini 3.1 Pro (Preview) | 24.69 |
| 4 | Qwen 3.5 122B A10B | 23.56 |
| 5 | Qwen 3.5 397B A17B | 23.44 |
| 6 | Llama 4 Scout | 21.06 |
| 7 | Llama 4 Maverick | 17.44 |
| 8 | GPT-4o | 13.19 |
| 9 | InternVL3-38B | 12.69 |
| 10 | GPT-5 | 11.5 |
Interactive version: theaggregate.ai/benchmark?slug=veriocrbench-diagnosis-accuracy-proactive · How It Works · Data refreshed daily, snapshot 2026-09-26.