MEGA-Bench Task - Medical Image Artifacts Identification: leaderboard

The "Medical Image Artifacts Identification" 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: Around May 2028. 44 models tracked.

Top models

#ModelScoreOverall rank
1Claude 3.5 Sonnet (20241022)42.9#291
2Gemini 2.5 Pro (Preview 03-25)42.9#123
3Qwen 2 VL 72B42.9#460
4Gemini 1.5 Flash (002)35.7#583
5InternVL2.5-78B35.7#431
6Gemma 3 27B (IT)28.6#523
7InternVL3-8B28.6#620
8InternVL3-38B28.6#405
9InternVL3-78B28.6#352
10InternVL3-14B28.6#505
11Pixtral-12B28.6#808
12GPT-4o21.4#343
13Gemma 3 4B (IT)21.4#992
14GPT-4o Mini21.4#599
15Qwen 2 VL 2B21.4#1220

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-image-artifacts-identification · How It Works · Data refreshed daily, snapshot 2026-10-20.