
Gemma Open Models by Google
Explore Google's AI resources and tools for innovative AI development and deployment.
About Gemma Open Models by Google
Google AI for Developers offers comprehensive resources, tools, and models like Gemma and Gemini to accelerate AI research and application. Access quickstart guides, performance benchmarks, deployment options on Google Cloud, and community support to advance your AI projects.
How to Use
Review detailed documentation, follow quickstart tutorials, and explore code samples on the website. Sign in to unlock additional features and seamlessly integrate Google AI APIs into your projects. Use Google AI Studio for experimentation and deploy models via Google Cloud infrastructure.
Features
Use Cases
Best For
Pros
Cons
Pricing Plans
Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.
Gemini 2.5 Flash Preview
A hybrid reasoning model supporting a 1 million token context window with advanced thinking capabilities.
Gemini 2.5 Pro Preview
A versatile, high-performance model optimized for coding, reasoning, and complex tasks.
Gemini 2.0 Flash
A balanced multimodal model with a 1 million token context window, ideal for diverse AI applications.
Gemini 2.0 Flash-Lite
A compact, cost-effective model designed for large-scale deployment and efficiency.
Imagen 3
Advanced image generation model available on paid Gemini API plans for creative AI projects.
Veo 2
State-of-the-art video generation model accessible through paid Gemini API plans.
Gemma 3
Lightweight, open-source model built on the same technology powering Gemini models.
Gemini 1.5 Flash
Fast multimodal model with excellent performance on repetitive tasks and a 1 million token context window.
Gemini 1.5 Flash-8B
A smaller, efficient model suited for lower-resource AI tasks with a 1 million token context window.
Gemini 1.5 Pro
High-precision Gemini 1.5 model with a 2 million token context window for advanced AI applications.
Text Embedding 004
Cutting-edge text embedding model designed for semantic understanding and NLP tasks.
Frequently Asked Questions
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