KorMedMCQA-V - Peripheral Blood Smear: leaderboard

Metric: Accuracy (%) on the questions carrying the 49 peripheral blood smear images (KorMedMCQA-V: image-based five-option questions from the Korean Medical Licensing Examination 2012-2023 (doctor track, R-type items excluded), each with one or more clinical images; zero-shot, closed-book, answer label parsed from JSON; open-source models averaged over three seeds); higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 51 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5100#91
2GPT-5.2100#105
3Gemini 3 Flash100#93
4Gemini 3 Pro100#77
5GPT-5 Mini (2025-08-07)97.7#165
6Qwen 3 VL 32B (Thinking)95.3#287 (Qwen 3 VL 32B)
7Qwen 3 VL 30B A3B (Thinking)90.7#338 (Qwen 3 VL 30B A3B)
8GLM-4.6V86.8#309
9Qwen 3 VL 32B Instruct86#276
10Qwen 3 VL 8B (Thinking)84.5
11Qwen 3 VL 4B (Thinking)82.2#471 (Qwen 3 VL 4B)
12Ministral-3-14B-Reasoning-251279.8#519
13Qwen 3 VL 30B A3B Instruct72.9#365
14Ministral-3-8B-Reasoning-251268.2#694
15Qwen 2.5 VL 32B Instruct67.4#443

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=kormedmcqa-v-peripheral-blood-smear · How It Works · Data refreshed daily, snapshot 2026-10-11.