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Medicine

MedHELM MedCalc-Bench

MedHELM medcalc_bench: per-(model, item) medcalc_bench_accuracy in {0,1} (1=correct) on 1000 clinical calculations from a patient note (risk scores, dosing, lab-derived values). 13 models from the MedHELM v4.0.0 release.

992items
13subjects
100%observed
Apache-2.0license
medicinedomain
textmodality

Response matrix

Fit to width. Hover for subject & item; click a cell for details.

MedHELM MedCalc-Bench response matrix: AI models (rows) against items (columns)
Correct (1)Incorrect (0)Unobserved

Scale: 1 = correct · 0 = incorrect

Subjects

  1. 1deepseek-ai/deepseek-r10.348
  2. 2google/gemini-2.5-pro-preview-05-060.348
  3. 3openai/gpt-5-mini-2025-08-070.341
  4. 4openai/o3-mini-2025-01-310.34
  5. 5openai/o4-mini-2025-04-160.34
  6. 6openai/gpt-5-2025-08-070.333
  7. 7anthropic/claude-3-5-sonnet-202410220.218
  8. 8anthropic/claude-3-7-sonnet-202502190.21
  9. 9openai/gpt-4o-2024-05-130.188
  10. 10google/gemini-2.0-flash-0010.158
  11. 11openai/gpt-4o-mini-2024-07-180.154
  12. 12google/gemini-1.5-pro-0010.12
  13. 13meta/llama-3.3-70b-instruct0.113