RxScribe Bench - Correctness (Clinical and Non-Clinical Fields): leaderboard
Metric: Field-level F score (%; harmonic mean of credit-weighted precision and recall per run, averaged over the three runs and then over images; diagnoses, symptoms, vitals, history, allergies and tests plus prescriber, facility and date fields, scored by ANLS string similarity; 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 September 2027. 4 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 78.94 |
| 2 | Muse Spark 1.2 | 78.87 |
| 3 | GPT-5.6 Sol | 77.84 |
| 4 | Claude Opus 5 | 75.59 |
Interactive version: theaggregate.ai/benchmark?slug=rxscribe-bench-correctness-clinical-and-non-clinical-fields · How It Works · Data refreshed daily, snapshot 2026-09-26.