ObGynLongBench - History-Level EHR - L2 Multi-Source Integration: 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. Full-history input, cases whose rule integrates evidence from multiple sources; accuracy percent, higher is better.

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Around February 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash71.5#103
2GPT-5.4 Mini68#228
3DeepSeek V4 Flash66.5#155
4Qwen 3.5 35B A3B (Non-reasoning)62.1#268 (Qwen 3.5 35B A3B)
5Gemma 4 26B A4B (Non-reasoning)61.4#360 (Gemma 4 26B A4B)
6Claude Haiku 4.561#287
7Qwen 3.5 9B (Non-reasoning)60.1#391 (Qwen 3.5 9B)
8Qwen 3.5 4B (Non-reasoning)57.5#514 (Qwen 3.5 4B)
9Gemma 4 E4B (Non-reasoning)53.2#762 (Gemma 4 E4B)
10Phi-4 Mini Instruct47.8#1232
11MedGemma 1.5 4B43.5#788

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=obgynlongbench-history-level-ehr-l2-multi-source-integration · How It Works · Data refreshed daily, snapshot 2026-11-05.