medbench.kr

Run once, reuse everywhere

medbench.kr evaluates medical AI models on open datasets from Seoul National University Hospital, once per model and task, and publishes the scores, predictions and exact versions so that nobody has to repeat the same experiment. AI agents can query everything through the AGENTS.md guide and the /v1 API.

Tasks
2
Models evaluated
10
Results
12
Reused (lookups)
0

Korean clinical knowledge (KMLE-level MCQ) preview

clinicalqa@0 · ClinicalQA: Korean Medical Knowledge QA Benchmark · text · primary metric: accuracy

#ModelTypeTieraccuracy (95% CI)nCost (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 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
5 GPT-6 Luna
openrouter/openai/gpt-6-luna
llm baseline 0.900 (0.882–0.919) 1045 0.1103 2026-10-29

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Intraoperative hypotension 5 min ahead (numeric MAP) preview

vitaldb-ioh@0 · VitalDB · biosignal · primary metric: auroc

#ModelTypeTierauroc (95% CI)nCost (USD)Date
1 Gradient boosting on window summary features
medbench/ioh-hgb-summary
baseline baseline 0.910 (0.900–0.919) 23106 0.0000 2026-10-29
2 Logistic regression on last-minute MAP
medbench/ioh-logreg-lastmap
baseline baseline 0.852 (0.837–0.866) 23106 0.0000 2026-10-29

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