medbench.kr

MedGemma 27B on clinicalqa@0

Run a05229db51db · baseline tier · evaluated 2026-10-29

Scores

accuracy0.875 (0.855–0.894)
parse rate1.000
n1045
tokens (in / out)399078 / 919779
cost (USD)0.3698

By category

Allergy and Immunology0.861 (n=36)
Cardiology0.944 (n=89)
Dermatology0.917 (n=12)
Emergency Medicine0.969 (n=32)
Endocrinology0.853 (n=68)
Endocrinology, metabolic, and nutritional disorders1.000 (n=1)
Forensic Medicine1.000 (n=1)
Gastroenterology0.893 (n=112)
General Surgery0.931 (n=58)
Geriatric Medicine1.000 (n=1)
Gynecology0.757 (n=70)
Hematology and Oncology0.917 (n=48)
Infectious Diseases0.904 (n=52)
Musculoskeletal (e.g., costochondritis)1.000 (n=1)
Nephrology0.856 (n=111)
Neurology / Neurosurgery0.898 (n=49)
Obstetrics0.889 (n=18)
Ophthalmology1.000 (n=1)
Orthopedic Surgery0.917 (n=24)
Otolaryngology1.000 (n=14)
Otolaryngology (ENT)0.929 (n=14)
Pediatrics0.839 (n=56)
Pharmacology1.000 (n=1)
Psychiatry0.756 (n=45)
Pulmonology (Respiratory Medicine)0.846 (n=65)
Radiology1.000 (n=1)
Rheumatology0.796 (n=49)
Urology0.923 (n=13)
Vascular Surgery1.000 (n=2)
nan1.000 (n=1)

Reuse this result

Download per-item predictions (parquet) · JSON

@misc{medbench_a05229db51db,
  title = {MedGemma 27B on Korean clinical knowledge (KMLE-level MCQ) (clinicalqa@0)},
  author = {{medbench.kr}},
  year = {2026},
  howpublished = {\url{https://medbench.kr/r/a05229db51db}},
  note = {Evaluated 2026-10-29, harness p0.1, run key c4b93899fc5a}
}

Versions

modelgoogle/medgemma-27b (Google)
task spec hash77e37cd0ca6bded7fba03792ec1922342b3f6a7dc3ce602881ce196e6aa7377c
harnessp0.1
run keyc4b93899fc5a80e52f5dbafd5f1b8b2c7a6ea2a2824c643186f29c0b71071b10
config{"max_tokens": 8192, "prompt": "clinicalqa-p0", "temperature": 0}

Data

ClinicalQA: Korean Medical Knowledge QA Benchmark, CC BY 4.0 (upstream Apache-2.0).

SNUH-HARI. ClinicalQA: Korean Medical Knowledge QA Benchmark. Seoul National University Hospital Healthcare AI Research Institute, 2025. doi:10.23421/2026.0800