VeriOCRBench - Factual Dimension (Assisted): leaderboard

The factual verification dimension of VeriOCRBench (Zhou et al., 2026): 400 OCR-grounded tasks with the traps fact tampering and vague reference, where a stated attribute or value contradicts the image or a reference has several plausible targets. Diagnosis accuracy is the percentage on which the model both rejects the task and names the correct trap mechanism, judged by GPT-4o; higher is better. Assisted setting: the prompt tells the model to check that the task is completable before answering.

Metric: Diagnosis accuracy (%; the 400 trap-injected tasks of the factual verification dimension (fact tampering and vague reference: a stated attribute or value contradicts the visible evidence, or a reference has several plausible targets); the model must reject the task and name the ground-truth trap mechanism; judged by GPT-4o at temperature 0; assisted paradigm: a meta-instruction asks the model to verify the task first). Source: arxiv.org. Saturation forecast: Around 2028. 15 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 397B A17B78#242
2GPT-573#163
3Claude Sonnet 4.567.75#244
4Qwen 3.5 35B A3B64.75#480
5Qwen 3.5 122B A10B63.5#329
6Llama 4 Maverick56#1105
7GPT-4o47.25#741
8InternVL3-38B45#905
9Llama 4 Scout37.25#1787
10Gemini 3.1 Pro (Preview)7#91

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=veriocrbench-factual-dimension-assisted · How It Works · Data refreshed daily, snapshot 2026-11-12.