RxScribe Bench - Correctness (Clinical and Non-Clinical Fields): leaderboard
RxScribe Bench (2026) correctness outside the medicine table: diagnoses, symptoms, vitals, history, allergies and recommended tests plus prescriber, facility and date fields, scored by normalized edit-distance similarity. 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; 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 March 2027. 4 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 78.94 | #91 |
| 2 | Muse Spark 1.2 | 78.87 | #97 |
| 3 | GPT-5.6 Sol | 77.84 | #29 |
| 4 | Claude Opus 5 | 75.59 | #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-clinical-and-non-clinical-fields · How It Works · Data refreshed daily, snapshot 2026-11-12.