Gemma 3 27B

Gemma 3 27B is Google's open-source lightweight model in the Gemma family, designed to provide capable performance with relatively modest computational requirements. As a 27 billion parameter model, it sits in the lightweight tier while offering both text and image processing capabilities through its multimodal architecture. The model features a 128K token context window and supports both text generation and image understanding tasks. With benchmark performance showing 39.07 output tokens per second and a time to first token of 308ms, it demonstrates efficient inference characteristics. The model is available under an open-source license, allowing developers to access model weights and run inference locally or modify the model for specific use cases. Gemma 3 27B targets applications where developers need multimodal capabilities without the computational overhead of larger frontier models. Its open-source nature makes it particularly suitable for organizations requiring on-premises deployment, model customization, or cost-effective scaling of text and vision tasks.