MC-CXR - Misleading Prior Image: leaderboard

Metric: Accuracy under misleading context (%; the image plus a cross-patient prior chest X-ray whose labels include the wrong finding; 240 radiologist-reviewed MIMIC-CXR cases, one current chest X-ray and a fixed target finding each; zero-shot constrained single-letter answer from 12 CheXpert labels (chance about 8.3%), invalid answers scored wrong; greedy or temperature-0 decoding). Source: arxiv.org. Saturation forecast: Around 2032. 10 models tracked.

Top models

#ModelScore
1Qwen 3.5 9B30.8
2InternVL3-8B22.9
3Gemini 3.5 Flash (Minimal)22.9
4Claude Opus 4.716.7
5MedGemma 1.5 4B16.2
6Gemma 3 12B (IT)10
7Phi-4 Multimodal Instruct9.2
8Llama 3.2 11B Instruct8.8

Interactive version: theaggregate.ai/benchmark?slug=mc-cxr-misleading-prior-image · How It Works · Data refreshed daily, snapshot 2026-09-29.