MedGemma 1.5 4B: benchmark results

Provider: Google. Released 2026-01-13. Access: Open.

Aggregate Rating 1497 ± 11, rank #788 of 1635 rated models, from 102 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
MC-CXR - Image-Only Recognition31.7Image-only recognition accuracy (%; the image alone, no cont88.9
MC-CXR - Misleading Preliminary Note12.1Accuracy under misleading context (%; the image plus a preli88.9
Holtercare-Bench - Presence (Text)62.42Accuracy (%; multiple-choice closed QA on whether a given rh83.3
PSF-Med - Open Medical - MIMIC-CXR7.4Paraphrase Flip Rate (%)80
MC-CXR - Misleading Overlay19.6Accuracy under misleading context (%; the image plus a PACS-77.8
Holtercare-Bench - Diagnosis (Text)33.46Accuracy (%; multiple-choice closed QA on the overall diagno75
DeepTumorVQA - Medical Reasoning29Accuracy (%) on the Medical-reasoning-stage questions (two t63.6
Holtercare-Bench - Heart Rate Extremum Timing (Text)34.71Accuracy (%; multiple-choice closed QA on the millisecond ti62.5
MedFlowBench (Radiology) - Brain MRI Task45Diagnosis accuracy (0-1, shown times 100) on UCSF-PDGM multi61.5
Oncology Report-Derived VQA - Liver CT Report-Derived47.8Accuracy (%; zero-shot multiple-choice VQA with 2-5 options 60
Holtercare-Bench - Event Timing (Text)30.79Accuracy (%; multiple-choice closed QA on the millisecond ti58.3
MC-CXR - Misleading Prior Report13.3Accuracy under misleading context (%; the image plus a prior55.6

Interactive version: theaggregate.ai/model?slug=medgemma-1-5-4b · How It Works · Data refreshed daily, snapshot 2026-11-05.