MedRepBench - Reference Range Recall (OCR-Assisted): leaderboard

Structured extraction from photographed, screenshotted and electronic Chinese laboratory reports, from the report image with recognized OCR text supplied alongside; MedRepBench (Shang et al., 2025). Recall in percent of the reference items' reference ranges, with items matched by normalized name within a budget of as many items as the reference lists; higher is better.

Metric: Field-level recall (%; reference range of each ground-truth lab item, matched by exact normalized item name within the model's top-K items, K = number of reference items; VLM on the report image plus OCR text). Source: arxiv.org. Saturation forecast: Estimated already saturated. 9 models tracked.

Top models

#ModelScoreOverall rank
1Llama 4 Maverick90.74#1105
2InternVL3-38B89.88#905
3InternVL3-14B88.81#1184
4InternVL3-8B88.8#1695
5Qwen 2.5 VL 7B85.07#1796
6Llama 4 Scout77.91#1787

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

Interactive version: theaggregate.ai/benchmark?slug=medrepbench-reference-range-recall-ocr-assisted · How It Works · Data refreshed daily, snapshot 2026-11-12.