Developed by Google, Medgemma 27B It is a chat model variant of the Gemma 3 collection, trained for performance on medical text and image comprehension to accelerate building healthcare-based AI applications. It is genuinely best at handling medical data, including text, images, and electronic health records.
Input
Output
Context
128K
Max Output
8K
Parameters
28.8B
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 24, 2026
Automatically route workloads to the right model for every task, every time.