ObGynLongBench - History-Level EHR - L3 Long-Horizon Reasoning: 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 needs reasoning over temporally distributed evidence; accuracy percent, higher is better.

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Around February 2028. 17 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash65#103
2GPT-5.4 Mini60.7#228
3Qwen 3.5 4B (Non-reasoning)59.3#514 (Qwen 3.5 4B)
4Qwen 3.5 35B A3B (Non-reasoning)57.7#268 (Qwen 3.5 35B A3B)
5DeepSeek V4 Flash56#155
6Phi-4 Mini Instruct53.3#1232
7Gemma 4 26B A4B (Non-reasoning)53#360 (Gemma 4 26B A4B)
8Claude Haiku 4.552.3#287
9Qwen 3.5 9B (Non-reasoning)52.3#391 (Qwen 3.5 9B)
10Gemma 4 E4B (Non-reasoning)43.3#762 (Gemma 4 E4B)
11MedGemma 1.5 4B29.7#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-l3-long-horizon-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-05.