RxScribe Bench - Correctness (Medicine Table): leaderboard
RxScribe Bench (2026) correctness on the medicine table alone: drug name, corrected name, inferred active ingredient, frequency, duration, dosage form and relation to meals, each cell graded pass or fail. Field-level F score in percent over 200 handwritten prescriptions with three runs each; higher is better.
Metric: Field-level F score (%; harmonic mean of credit-weighted precision and recall per run, averaged over the three runs and then over images; the medicine table only: drug name, corrected name, inferred active ingredient, frequency, duration, dosage form and relation to meals, each cell pass or fail; 200 handwritten Indian outpatient prescription images, three independent cold runs per image, image and JSON schema only, deterministic field-by-field scoring against human ground truth with no model judge). Source: arxiv.org. Saturation forecast: Around 2029. 4 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.6 Sol | 57.83 | #29 |
| 2 | Gemini 3.1 Pro (Preview) | 55.06 | #91 |
| 3 | Muse Spark 1.2 | 49.49 | #97 |
| 4 | Claude Opus 5 | 47.08 | #20 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=rxscribe-bench-correctness-medicine-table · How It Works · Data refreshed daily, snapshot 2026-11-12.