ObGynLongBench - Visit-Level EHR: leaderboard
ObGynLongBench (arXiv 2609.07601v1, Table 2): 17 LLMs answer 1,500 rule-grounded obstetric multiple-choice decision points from real longitudinal EHRs of 976 pregnant patients; open-source and medical models run with thinking disabled. Input is all EHR records from the decision day's visit; accuracy percent, higher is better.
Metric: Accuracy (%; same-day visit records). Source: arxiv.org. Saturation forecast: Around March 2028. 17 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3 Flash | 67.1 | #103 |
| 2 | GPT-5.4 Mini | 62.3 | #228 |
| 3 | DeepSeek V4 Flash | 61.2 | #155 |
| 4 | Gemma 4 26B A4B (Non-reasoning) | 60.6 | #360 (Gemma 4 26B A4B) |
| 5 | Claude Haiku 4.5 | 58.5 | #287 |
| 6 | Qwen 3.5 35B A3B (Non-reasoning) | 55.7 | #268 (Qwen 3.5 35B A3B) |
| 7 | Qwen 3.5 9B (Non-reasoning) | 55.4 | #391 (Qwen 3.5 9B) |
| 8 | Qwen 3.5 4B (Non-reasoning) | 52.7 | #514 (Qwen 3.5 4B) |
| 9 | Phi-4 Mini Instruct | 48.6 | #1232 |
| 10 | MedGemma 1.5 4B | 48.1 | #788 |
| 11 | Gemma 4 E4B (Non-reasoning) | 47.4 | #762 (Gemma 4 E4B) |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=obgynlongbench-visit-level-ehr · How It Works · Data refreshed daily, snapshot 2026-11-05.