multimodal LLMfamily
MedGemma
Google's medical model family built on Gemma 3, with 4B multimodal, 27B text-only and 27B multimodal variants plus MedGemma 1.5 4B. Outputs are not for direct clinical decision-making per the model card.
Levelfamily
Classmultimodal LLM
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessopen weights restricted
Runs onnot in the notes
Statusnot in the notes
Benchmark Results
vendor-reported
AfriMed-QAdomain
AgentClinic-MedQAdomain
CheXpertdomain
MedMCQAdomain
MedQAdomain
MIMIC-CXRdomain
MMLU Meddomain
PubMedQAdomain
RadGraph F1domain
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Lineage
3 members have no release date in the notes, so they are not on this timeline.
MedGemma 1.5 4B belongs to this familymultimodal LLM6 Apr 20264BMedGemma 27B text belongs to this familyLLM19 May 202527BMedGemma 27B multimodal belongs to this familymultimodal LLM27BMedGemma 4B belongs to this familymultimodal LLM4BMedSigLIP belongs to this familyvision400MWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- not in the notes
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- not in the notes
- Output
- not in the notes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights restricted
- Licence
- Health AI Developer Foundations terms of use sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Industry Use Cases
No industry use case links this model.
Links
DeveloperGooglebig tech, USA
Googlebig tech, USAModelMedGemmaGoogle, multimodal LLM
MedGemmaGoogle, multimodal LLMUse CasesClinical LLM (Open Weights)HealthcareRadiology Report GenerationHealthcareClinical LLM (Frontier Proprietary)HealthcarePathology Whole-Slide ImagingHealthcare+10 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
Kementerian Kesehatan (Kemenkes), PusdatinPlanned, 19 Aug 2026
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026
Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026+47 moreDeployments of these use cases; none names this model.
Kementerian Kesehatan (Kemenkes), PusdatinPlanned, 19 Aug 2026PT Pertamina Geothermal EnergyIn production, 14 Jul 2026Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026+47 moreDeployments of these use cases; none names this model.Models 5
Organisations 1
Sources
- MedGemma 1.5 Technical Report arxiv.org https://arxiv.org/abs/2604.05081
- MedGemma Technical Report arxiv.org https://arxiv.org/html/2507.05201v2
- google/medgemma-27b-text-it , Hugging Face huggingface.co https://huggingface.co/google/medgemma-27b-text-it
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "MedGemma", https://aurion.semai.id/models/google-medgemma/, records of October 2026.