Gemma 3: The Most Advanced Open AI Model From Google
Google's most capable open model based on Gemini 2.0 technology.
Build powerful AI applications with multimodal capabilities and 128K context window.
🚀 State-of-the-art performance on a single GPU
Key Features of Gemma 3
Google's most powerful open model with a wide range of capabilities for developers.
Vision-Language Understanding
Process images and text together with advanced visual reasoning capabilities for multimodal applications.
128K Token Context Window
Handle larger inputs allowing for more comprehensive document analysis and complex reasoning tasks.
140+ Languages Support
Build global applications with extensive multilingual capabilities out of the box.
Multiple Model Sizes
Choose from 1B, 4B, 12B, and 27B parameter versions to match your hardware and performance needs.
Function Calling
Create AI-driven workflows with built-in support for function calling and structured output generation.
Quantized Models
Utilize official quantized versions for reduced computational requirements while maintaining accuracy.
Gemma 3 Performance
State-of-the-art capabilities in a lightweight, efficient package.
Supported Languages
140+
Languages
Context Length
128K
Tokens
Model Variants
4
Sizes
Developer Community Feedback on Gemma 3
Hear what developers are saying about building with Google's most capable open model.
David Chen
ML Engineer
Gemma 3's multimodal capabilities allowed us to build a visual assistant that runs efficiently on a single GPU. The image understanding is remarkable for a model of this size.
Rachel Kim
AI Researcher
We're using the 128K context window to analyze entire research papers. The ability to handle such long contexts while maintaining coherence is game-changing for our scientific applications.
Marcus Thompson
Indie Developer
As a solo developer, I appreciate that Gemma 3 can run on my local setup. The 4B model is surprisingly capable and has become my go-to for prototyping multilingual applications.
Sofia Garcia
NLP Specialist
The multilingual capabilities are impressive. We've built applications that work across 15 languages without any additional fine-tuning, and the performance is consistent across all of them.
James Wilson
Tech Lead
Function calling in Gemma 3 has transformed how we build AI workflows. We're creating applications that seamlessly integrate with our existing systems through structured API calls.
Anna Zhang
Startup Founder
We deployed the quantized version of Gemma 3 in production and were amazed by the performance-to-resource ratio. It's allowing us to scale our AI features without scaling our infrastructure costs.
Frequently Asked Questions About Gemma 3
Learn more about Google's most capable open AI model.
What is Gemma 3 and how does it differ from previous versions?
Gemma 3 is Google's most advanced open AI model based on the same technology that powers Gemini 2.0. It introduces multimodal capabilities (vision and text), a 128K token context window, support for 140+ languages, and comes in multiple sizes (1B, 4B, 12B, and 27B) optimized to run on a single GPU or TPU.
What hardware do I need to run Gemma 3?
Gemma 3 is designed to run efficiently on a variety of hardware. The 1B model can run on CPUs and mobile devices, the 4B model works well on consumer GPUs, and even the 27B model can run on a single NVIDIA GPU. For optimal performance, NVIDIA GPUs, Google Cloud TPUs, or AMD GPUs with the ROCm stack are recommended.
How can I start using Gemma 3 in my projects?
You can use Gemma 3 for free directly on this page with no setup required. We provide rich examples showcasing various applications and use cases to help you get started quickly. You can also upgrade your plan to use the maximum parameter version of Gemma 3, enhancing your efficiency in various work and entertainment tasks!
Can I adjust parameters when using Gemma 3 on this page?
Gemma 3 offers several adjustable parameters to customize model behavior: Max new tokens (1-2048) controls generated text length, Temperature (0.1-4.0) adjusts response randomness, Top-p (0.05-1.0) and Top-k (1-1000) fine-tune sampling strategies, and Repetition penalty (1.0-2.0) reduces repetitive content. These settings allow you to optimize the model for your specific use case.
What types of tasks is Gemma 3 particularly good at?
Gemma 3 excels at a wide range of tasks including question answering, summarization, reasoning, code generation, image understanding, multilingual processing, and structured output generation with function calling capabilities. Its 128K context window also makes it particularly suited for long document processing.
How does Gemma 3 compare to other open models?
Gemma 3 delivers state-of-the-art performance for its size, outperforming larger models like Llama-405B and DeepSeek-V3 in preliminary human preference evaluations. It achieves this while requiring only a single GPU, making it more accessible and cost-effective for many developers and organizations.
Start Building with Gemma 3 Today
Google's most capable open model is waiting for you.