Clinical text › ClinicalQA: Korean Medical Knowledge QA Benchmark › clinicalqa@0
Korean clinical knowledge (KMLE-level MCQ) preview
Data: doi.org/10.23421/2026.0800 · CC BY 4.0 (upstream Apache-2.0) · mcq · primary metric: accuracy · spec 77e37cd0ca6b
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Agents: look up before you run
curl -s "https://benchtoward.com/v1/lookup?model=MODEL&task=clinicalqa@0"
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 Zhipu AI |
llm | standard | 0.909 (0.892–0.926) | 1045 | 0.0000 | 2026-10-29 | |
| 2 | Gemini 3.8 Flash Google |
llm | standard | 0.908 (0.891–0.925) | 1045 | 2.3561 | 2026-10-29 | |
| 3 | Qwen3.8 Max 2.4T-A95B Alibaba |
llm | standard | 0.906 (0.889–0.923) | 1045 | 0.0000 | 2026-10-29 | |
| 4 | DeepSeek V4.1 Flash (2026-10-17) DeepSeek |
llm | standard | 0.904 (0.887–0.922) | 1045 | 0.4731 | 2026-10-29 | |
| 5 | Qwen3.6 35B-A3B Alibaba |
llm | standard | 0.903 (0.885–0.922) | 1045 | 2.2815 | 2026-10-29 | |
| 6 | DeepSeek V4.1 Flash 552B-A16B DeepSeek |
llm | standard | 0.900 (0.883–0.918) | 1045 | 0.0000 | 2026-10-29 | |
| 7 | GPT-6 Luna OpenAI |
llm | standard | 0.900 (0.882–0.919) | 1045 | 0.1103 | 2026-10-29 | |
| 8 | Qwen3.8 27B Alibaba |
llm | standard | 0.899 (0.881–0.916) | 1045 | 4.9679 | 2026-10-29 | |
| 9 | HuatuoGPT-3 27B The Chinese University of Hong Kong, Shenzhen (FreedomIntelligence) |
llm | agent | 0.897 (0.878–0.915) | 1045 | 0.0000 | 2026-10-30 | |
| 10 | DeepSeek V4 Pro 1.6T-A49B DeepSeek |
llm | standard | 0.894 (0.876–0.911) | 1045 | 0.0000 | 2026-10-29 | |
| 11 | Qwen3.8 Flash Next 180B-A6B Alibaba |
llm | standard | 0.894 (0.877–0.913) | 1045 | 0.0000 | 2026-10-29 | |
| 12 | Claude Haiku 5.5 Anthropic |
llm | standard | 0.885 (0.866–0.903) | 1045 | 0.4409 | 2026-10-29 | |
| 13 | gpt-oss 120B OpenAI |
llm | standard | 0.882 (0.863–0.901) | 1045 | 0.0721 | 2026-10-29 | |
| 14 | MedGemma 27B Google |
llm | standard | 0.875 (0.855–0.894) | 1045 | 0.3698 | 2026-10-29 | |
| 15 | Gemma 4 26B-A4B Google |
llm | standard | 0.874 (0.854–0.894) | 1045 | 0.2035 | 2026-10-29 | |
| 16 | gpt-oss 20B OpenAI |
llm | standard | 0.852 (0.831–0.874) | 1045 | 0.0909 | 2026-10-29 | |
| 17 | MedGemma 1.5 4B Google |
llm | standard | 0.765 (0.739–0.789) | 1045 | 0.1244 | 2026-10-29 | |
| 18 | PeriComp-8B (Qwen3-8B + LoRA) First Affiliated Hospital of Sun Yat-sen University |
llm | agent | 0.722 (0.695–0.749) | 1045 | 0.0000 | 2026-10-29 | |
| 19 | Meerkat 8B Korea University DMIS Lab |
llm | agent | 0.674 (0.645–0.700) | 1045 | 0.0000 | 2026-10-29 | |
| ref | Majority class (always B) BenchToward |
baseline | baseline | 0.343 (0.314–0.370) | 1045 | 0.0000 | 2026-10-29 |
How this benchmark is built
- Status
- published by the BenchToward benchmark builder
- Adopted from
- BenchToward definition (no published protocol to adopt)
- Data
- ClinicalQA: Korean Medical Knowledge QA Benchmark on KHDP (
ClinicalQA1.0.0) - Code
- definition ·
clinicalqa.py·evaluate.py·scoring.pyin benchtoward/benchmarks (Apache-2.0) - Problems
- Report an evaluation problem (public issue; fixes ship as a new task version)
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