MEGA-Bench Task - Medical Cell Recognition: leaderboard

The "Medical Cell Recognition" 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
1Gemini 2.5 Pro (Preview 03-25)71.4#123
2Claude 3.5 Sonnet (20241022)64.3#291
3Gemini 2.0 Flash (Preview)57.1#370
4Gemini 1.5 Flash (002)50#583
5Claude 3.5 Sonnet (20240620)50#299
6InternVL3-78B50#352
7GPT-4o42.9#343
8Gemma 3 27B (IT)42.9#523
9Gemini 1.5 Pro (002)42.9#349
10InternVL2.5-78B42.9#431
11GLM-4.1V-9B (Thinking)42.9#472 (GLM-4.1V-9B)
12GPT-4o Mini28.6#599
13InternVL3-8B28.6#620
14InternVL3-38B28.6#405
15InternVL2-8B28.6#817

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-cell-recognition · How It Works · Data refreshed daily, snapshot 2026-10-20.