Korean clinical knowledge (KMLE-level MCQ) preview
clinicalqa@0 · mcq · primary metric: accuracy · spec hash 77e37cd0ca6b
ClinicalQA has been public on Hugging Face since 2025-04-04. Models trained after that date may have seen it.
| # | Model | Type | Tier | accuracy (95% CI) | n | Cost (USD) | Date |
|---|---|---|---|---|---|---|---|
| 1 | GLM-5.3 753B-A40B kgpu/glm-5.3-ax-753b-a40b |
llm | baseline | 0.909 (0.892–0.926) | 1045 | 0.0000 | 2026-10-29 |
| 2 | Gemini 3.8 Flash openrouter/google/gemini-3.8-flash |
llm | baseline | 0.908 (0.891–0.925) | 1045 | 2.3561 | 2026-10-29 |
| 3 | DeepSeek V4.1 Flash (2026-10-17) openrouter/deepseek/deepseek-v4.1-flash-1017 |
llm | baseline | 0.904 (0.887–0.922) | 1045 | 0.4731 | 2026-10-29 |
| 4 | Qwen3.6 35B-A3B kgpu/qwen3.6-35b-a3b |
llm | baseline | 0.903 (0.885–0.922) | 1045 | 2.2815 | 2026-10-29 |
| 5 | DeepSeek V4.1 Flash 552B-A16B kgpu/deepseek-v4.1-flash-ax-552b-a16b |
llm | baseline | 0.900 (0.883–0.918) | 1045 | 0.0000 | 2026-10-29 |
| 6 | GPT-6 Luna openrouter/openai/gpt-6-luna |
llm | baseline | 0.900 (0.882–0.919) | 1045 | 0.1103 | 2026-10-29 |
| 7 | DeepSeek V4 Pro 1.6T-A49B kgpu/deepseek-v4-pro-ax-1.6t-a49b |
llm | baseline | 0.894 (0.876–0.911) | 1045 | 0.0000 | 2026-10-29 |
| 8 | Qwen3.8 Flash Next 180B-A6B kgpu/qwen3.8-flash-next-180b-a6b |
llm | baseline | 0.894 (0.877–0.913) | 1045 | 0.0000 | 2026-10-29 |
| 9 | Claude Haiku 5.5 openrouter/anthropic/claude-haiku-5.5 |
llm | baseline | 0.885 (0.866–0.903) | 1045 | 0.4409 | 2026-10-29 |
| 10 | Gemma 4 26B-A4B kgpu/gemma-4-26b-a4b |
llm | baseline | 0.874 (0.854–0.894) | 1045 | 0.2035 | 2026-10-29 |
| 11 | MedGemma 1.5 4B kgpu/medgemma-1.5-4b |
llm | baseline | 0.765 (0.739–0.789) | 1045 | 0.1244 | 2026-10-29 |
| 12 | Majority class (always B) medbench/majority-b |
baseline | baseline | 0.343 (0.314–0.370) | 1045 | 0.0000 | 2026-10-29 |
Data
ClinicalQA: Korean Medical Knowledge QA Benchmark (text). License: CC BY 4.0 (upstream Apache-2.0). Source: https://doi.org/10.23421/2026.0800
SNUH-HARI. ClinicalQA: Korean Medical Knowledge QA Benchmark. Seoul National University Hospital Healthcare AI Research Institute, 2025. doi:10.23421/2026.0800
Task specification
{
"dataset": "clinicalqa",
"kind": "mcq",
"preview": true,
"primary_metric": "accuracy",
"prompt": "clinicalqa-p0",
"slug": "clinicalqa",
"source": {
"file": "data/train-00000-of-00001.parquet",
"repo": "snuh/ClinicalQA",
"revision": "29bdc9043f3e693b7671f868e2038ec7ac288acd"
},
"split": "test-only (all 1,045 items)",
"title": "Korean clinical knowledge (KMLE-level MCQ)",
"version": 0
}
JSON: /v1/tasks/clinicalqa · /v1/leaderboard?task=clinicalqa@0