Scale-VQA - Confirmation: leaderboard

Scale-VQA (Phan et al., 2026) poses multiple-choice pathology questions over regions of TCGA whole-slide images at 10x, 40x and 200x magnification that need evidence from at least two magnifications, screened so that text-only models cannot answer them and validated by pathologists. This board is the 201 test questions of the confirmation dimension, one of five cross-scale reasoning dimensions defined with pathologists; accuracy in percent, higher is better.

Metric: Accuracy (%; multiple-choice questions on paired 10x/40x/200x views of TCGA whole-slide images, Scale-VQA test split, 201 confirmation questions). Source: arxiv.org. Saturation forecast: Around May 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.259.7#172
2Gemini 3 Flash58.71#159
3Qwen 2.5 VL 7B Instruct47.26#1842

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

Interactive version: theaggregate.ai/benchmark?slug=scale-vqa-confirmation · How It Works · Data refreshed daily, snapshot 2026-11-12.