EviPathBench - Text-to-Image Retrieval: leaderboard
Metric: Accuracy (%) pooled over all questions (the All part of each cell) on Task 2: choosing the slide region image that matches a pathologist's finding among four images; EviPathBench: pathologist-authored diagnostic paths on 1,822 TCGA whole-slide images (16 organs), findings at 2.5x, 10x and 40x magnification; four options per question with distractors mined from the same organ and magnification; parsed choice scored by exact match; chance 25; higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 16 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Flash | 67.74 |
| 2 | GPT-5.2 | 60.96 |
| 3 | Qwen 3.5 Flash | 60.05 |
| 4 | Lingshu-7B | 54.49 |
| 5 | Lingshu-32B | 44.22 |
| 6 | Qwen 2.5 VL 7B Instruct | 37 |
| 7 | MedGemma-4B | 33 |
| 8 | MedGemma 1.5 4B | 30.89 |
| 9 | MedGemma-27B-IT | 23.76 |
Interactive version: theaggregate.ai/benchmark?slug=evipathbench-text-to-image-retrieval · How It Works · Data refreshed daily, snapshot 2026-09-29.