MODELS

Gemma 3

by Google DeepMind

multimodalgooglegemma

Overview

Open model family from Google DeepMind for text, image understanding, reasoning, multilingual use, and developer deployment.

Details

Gemma 3 is an open-weight model family from Google DeepMind. Official Google sources describe it as a lightweight open-model collection based on Gemini 2.0 research, with 1B, 4B, 12B, and 27B variants, 128K context, multilingual support across 140+ languages, multimodal text/image input with text output, visual reasoning, function calling, quantized versions, AI Studio/API-key access, and deployment options including Google Cloud Model Garden and local/runtime tooling such as gemma.cpp.

When to Use

Use Gemma 3 when you need an open-weight Google model family for text generation question answering summarization reasoning or multilingual applications. Use Gemma 3 for image-understanding or visual-reasoning workflows where text/image input and text output are sufficient. Use Gemma 3 when evaluating deployable model sizes from small 1B variants through larger 27B variants including local/runtime or Google Cloud deployment paths.

Getting Started

Review the Gemma overview at https://ai.google.dev/gemma and the official docs at https://ai.google.dev/gemma/docs.
Read the Gemma 3 model card for supported modalities
context length
intended uses
evaluations
limitations
and safety considerations.
Choose a variant such as 1B
4B
12B
or 27B based on your deployment and task requirements.
Use Google AI Studio/API-key access
Google Cloud Model Garden guidance
or the official gemma.cpp repository depending on your runtime target.
Check the Google Cloud pricing page if you plan supervised fine-tuning of Gemma 3 IT variants.

Key Features

•Open-weight Gemma 3 model family authored by Google DeepMind.
•Variants documented in Google Cloud sources include 1B
•4B
•12B
•and 27B models.
•Supports multimodal text/image input and text output according to the official model card.
•Google launch material states 128K context
•140+ language support
•visual reasoning
•function calling
•and quantized versions.
•Deployment and usage paths are documented through Google AI for Developers
•Google Cloud Model Garden
•and the google/gemma.cpp repository.

Capabilities

•text generation
•question answering
•summarization
•reasoning
•multilingual text
•image understanding
•visual reasoning
•function calling
•local deployment
•cloud deployment
•supervised fine-tuning

Last updated Jul 15, 2026