MEGA-Bench Task - Medical Content Based Retrieval Radiology: leaderboard

The "Medical Content Based Retrieval Radiology" subtask of MEGA-Bench Task. A single task from MEGA-Bench, a large-scale multimodal evaluation suite that scores vision-language models across 500+ real-world tasks spanning perception, reasoning, OCR, charts, documents, and multi-image understanding.

Metric: Task Score (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 44 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o92.9#343
2Gemma 3 27B (IT)92.9#523
3Gemini 1.5 Pro (002)92.9#349
4InternVL3-38B92.9#405
5InternVL3-78B92.9#352
6Gemini 2.5 Pro (Preview 03-25)92.9#123
7Qwen 2 VL 72B92.9#460
8Gemini 2.0 Flash (Preview)92.9#370
9Claude 3.5 Sonnet (20241022)85.7#291
10Claude 3.5 Sonnet (20240620)85.7#299
11Gemini 1.5 Flash (002)78.6#583
12InternVL3-14B78.6#505
13Gemma 3 12B (IT)71.4#664
14Pixtral-12B71.4#808
15InternVL2.5-78B71.4#431

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=mega-bench-task-medical-content-based-retrieval-radiology · How It Works · Data refreshed daily, snapshot 2026-10-20.