Gemma is a family of open-weight large language models developed by Google DeepMind. It's designed for developers to build custom AI solutions, offering the flexibility to fine-tune models with their own data and deploy them across various platforms, including on-device.

How much does Gemma cost?

Gemma models (Gemma 3, Gemma 3n) are free of charge for input and output tokens. The broader Google AI platform, which includes Gemma, offers a free tier for developers and small projects, with paid and enterprise tiers available for higher volumes and advanced features.

Gemma enables developers to generate text and code, customize AI models with proprietary data, and deploy AI solutions efficiently on various devices. It's built from the same research as Google's Gemini models, providing a powerful foundation for custom AI applications.

Yes, Gemma models are available free of charge for input and output tokens. This allows developers to experiment and build with Gemma without initial costs, though usage of other models or advanced features on the Google AI platform may incur fees.

AI Tools

Gemma

Open-weight LLM

Best for developers

On-device AI

Highly customizable

Free to use

Customize and deploy open-weight AI models for innovative applications.

Last updated: Apr 15, 2026

OPEN_SOURCE

ai.google.dev

Quick Answer

Gemma is an open-weight large language model family from Google DeepMind, built for developers to customize and deploy on-device. It enables fine-tuning with custom data and integrates with various development tools and frameworks. Best for developers and researchers seeking control over their AI models for specialized applications. Free to use, with paid options for the broader Google AI platform.

About Gemma

Gemma is a family of open-weight large language models from Google DeepMind, designed for developers to build custom AI solutions and deploy on-device. It offers flexibility for fine-tuning with proprietary data and integrates with popular development frameworks. Gemma models are free to use, with paid tiers available for the broader Google AI platform.

What Makes It Unique

Gemma provides open-weight models built from the same research and technology as Google's Gemini models, allowing developers complete control and customization for on-device or specialized AI applications.

Use Cases & Target Users

Use Cases

Best For

Building custom AI solutions for developers

Deploying AI models on edge devices

Fine-tuning language models with proprietary data

Developing AI applications with complete model control

Experimenting with open-weight LLMs

Company Size

SOLO

SMALL

MEDIUM

ENTERPRISE

Fit Score

Complexity

ADVANCED

Target Team Size

INDIVIDUAL

SMALL_TEAM

LARGE_TEAM

Target Skill Level

INTERMEDIATE

EXPERT

Key Features

Open-weight large language model family

Customizable with user data

Fine-tuning capabilities in environments like Colab

On-device deployment support for mobile, web, and embedded applications

Multi-framework compatibility (e.g., Keras)

Text generation

Technical Specifications

API Available

SDK Available

MCP Compatible

Open Source

Team Features

SSO/Enterprise

Webhook Support

Has Demo

Deployment:

HYBRID

Pros

+Open-weight models provide full control and customization
+Built from the same research as Gemini models
+Optimized for efficient performance on various devices (mobile, laptop, tablet)
+Supports multi-framework development (Keras)
+Free to use for development and small projects
+Integration with Google AI Studio and Colab for easy experimentation and fine-tuning

Limitations

-Requires technical expertise for deployment and customization
-No direct cloud-hosted API for Gemma itself (unlike Gemini)
-Performance depends on local device capabilities for on-device deployment
-Content used to improve Google products in the free tier
-No dedicated support channels for the free/open-source offering

Uses Models

Gemma 3Gemma 3n

Decision Intelligence

Best For

Building custom AI solutions for developers

Deploying AI models on edge devices

Fine-tuning language models with proprietary data

Developing AI applications with complete model control

Experimenting with open-weight LLMs

Not Ideal For

Non-technical users seeking a ready-to-use AI application

Users requiring a fully managed, cloud-hosted LLM API without local deployment

Businesses needing enterprise-grade support and compliance for the model itself without using Vertex AI

Users looking for a simple, no-code AI solution

Frequently Asked Questions

Your Actions

Dimension Scores

Ease of Use6/10

Output Quality7/10

Value for Money8/10

Customization7/10

Support7/10

Integration8/10

Task Scores

Code Completion

Code Explanation

Multi Language Support

Context Understanding

Bug Detection

Refactoring

Documentation Generation

Performance Optimization

Trust Score

45/100

Limited Data

Based on 5 verified signals

Trust Signals

Verified CompanyGoogle DeepMind

Notable CustomersTldraw, Rooms, Toonsutra +4

Team Size5000+

Status PageView

Data ResidencyGoogle Cloud's generative AI services offer data residency options in 10 countries across North America, Europe, and Asia.

Switching & Migration

Migration Difficulty

Moderate Effort

Community Forum, Dedicated support (Enterprise)

API Access

Quick Stats

CategoryCoding

PlatformsWEB, API, DESKTOP, MOBILE, CLI

Integrations19+

LaunchedFeb 2024

Setup TimeHours to days

AddedMar 2026

Company & Links

CompanyGoogle DeepMind

Documentation Changelog

LinkedIn Twitter/X Discord YouTube

AI Tools

Gemma

Quick Answer

Decision Intelligence

Best For

Not Ideal For

Frequently Asked Questions

What is Gemma?

How much does Gemma cost?

What can Gemma do?

Is Gemma free?

Dimension Scores

Task Scores

Trust Score

Trust Signals

Switching & Migration