MedLoCoMo - Cross-Admission: leaderboard

The cross-admission questions of MedLoCoMo (2026): the combined answer and abstention score in percent on the 8,946 questions whose evidence spans two or more hospital admissions of a long synthetic patient history. Higher is better.

Metric: Score (%) on the 8,946 cross-admission questions (evidence from two or more admissions): item-weighted combination of judged accuracy on answerable questions (two per admission) and abstention accuracy on unanswerable ones (one per admission); full patient history in context (100 synthetic multi-admission doctor-patient conversations from MIMIC-IV, 74.5k tokens on average), short free-text answers; answerable items judged correct or not by a Gemini 3 Flash Preview judge, adversarial unanswerable items scored by abstention; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.157#229
2Qwen 3.5 27B51.6#359
3Qwen 3.5 9B42.7#803
4Qwen 3.5 4B41.7#1175
5Gemma 3 27B40.1#1631
6Gemma 3 12B38.8#2000
7MedGemma-4B15#2444
8Gemma 3 4B10.9#5064

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=medlocomo-cross-admission · How It Works · Data refreshed daily, snapshot 2026-11-13.