Google model product
MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension.
Updated Aug 12, 2026. Default version: MedGemma 4B IT
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for MedGemma 4B IT.
| CheXpert CXR | 48.1% | 01 | 1 | 100.0% | C | |
| DermMCQA | 71.8% | 01 | 1 | 100.0% | C | |
| MIMIC CXR | 88.9% | 01 | 1 | 100.0% | C | |
| PathMCQA | 69.8% | 01 | 1 | 100.0% | C | |
| VQA-Rad | 49.9% | 01 | 1 | 100.0% | C | |
| SlakeVQA | 62.3% | 04 | 4 | 0.0% | C | |
| MedXpertQA | 18.8% | 12 | 12 | 0.0% | C |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Provider-specific output speed and catalog latency for MedGemma 4B IT. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Official vendor API pricing appears first, followed by individual provider offers.
The default version has no 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.
Available versions of this model. The score column identifies the version used in the overall ranking.
| MedGemma 4B IT | 0.0 | 4.3B | N/A | N/A | No | Health AI Developer Foundations terms of use |
Key information about MedGemma 4B IT and its available data.
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.
Data as of 2026-08-11.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest 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 was created by Google.
A context window is not available for the default version.
No. The default version is not marked as having publicly available weights.
No provider offering is currently linked to the default version.
Nearby ranked alternatives include Gemma 3n E4B, GPT-5.1-Codex-Mini, Gemma 3n E2B LiteRT.