#169
GOGoogle
Gemma 3 1B
2.7 LLMBoard
Google model product
MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension. MedGemma 4B utilizes a SigLIP image encoder that has been specifically pre-trained on a variety of de-identified medical data, including chest X-rays, dermatology images, ophthalmology images, and histopathology slides. Its LLM component is trained on a diverse set of medical data, including radiology images, histopathology patches, ophthalmology images, and dermatology images. MedGemma is a multimodal model primarily evaluated on single-image tasks. It has not been evaluated for multi-turn applications and may be more sensitive to specific prompts than its predecessor, Gemma 3. Developers should consider bias in validation data and data contamination concerns when using MedGemma.
Updated Aug 10, 2026. Default version: MedGemma 4B IT
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
No published version under this unique model currently has enough benchmark coverage to calculate a score.
Published benchmark records for the scored version currently unavailable.
No published benchmark result is linked to the scored version.
Preference and agent-evaluation signals from published Arena datasets.
The default version has no published Arena rows, or its source alias has not been resolved.
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
The default version has no provider offering with current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| MedGemma 4B IT | N/A | 4.3B | N/A | N/A | No | Health AI Developer Foundations terms of use |
A concise description based on the published model registry.
MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension. MedGemma 4B utilizes a SigLIP image encoder that has been specifically pre-trained on a variety of de-identified medical data, including chest X-rays, dermatology images, ophthalmology images, and histopathology slides. Its LLM component is trained on a diverse set of medical data, including radiology images, histopathology patches, ophthalmology images, and dermatology images. MedGemma is a multimodal model primarily evaluated on single-image tasks. It has not been evaluated for multi-turn applications and may be more sensitive to specific prompts than its predecessor, Gemma 3. Developers should consider bias in validation data and data contamination concerns when using MedGemma.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about MedGemma 4B IT.
MedGemma 4B IT's default version was released on May 20, 2025.
No official standard PAYG price is currently available for MedGemma 4B IT.
MedGemma 4B IT is published under Google in the model registry.
The current registry does not publish a context window for the default version.
No. The default version is not marked as having publicly available weights.
No published provider offering is currently linked to the default version.
No nearby ranked alternatives are currently available.