Gemma 3 VS gemma3.app

Gemma 3 Pricing

gemma3.app Pricing

Gemma 3

• Vision-Language Understanding: Process images and text together with advanced visual reasoning capabilities.
• 128K Token Context Window: Handle larger inputs for comprehensive document analysis and complex reasoning.
• 140+ Languages Support: Build global applications with extensive multilingual capabilities.
• Multiple Model Sizes: Choose from 1B, 4B, 12B, and 27B parameter versions for different hardware/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.
• Single GPU Optimization: Designed to run efficiently on a single GPU or TPU.

gemma3.app

• State-of-the-Art Performance: Outperforms larger models while running on a single GPU or TPU host.
• Multimodal Capabilities: Process text and images together for advanced visual reasoning (vision supported on 4B, 12B, 27B models).
• 128K Context Window: Process and understand vast amounts of information for complex tasks.
• Multilingual Support: Pretrained support for over 140 languages, with out-of-the-box support for 35+.
• Function Calling: Enables AI agents to interact with external tools and APIs.
• Multiple Model Sizes: Available in 1B, 4B, 12B, and 27B parameter versions.
• Quantized Models: Official optimized versions reducing computational requirements while maintaining accuracy.
• Framework Integration: Works with Hugging Face, JAX, PyTorch, and Ollama.
• Responsible AI: Incorporates Google's comprehensive safety measures and responsible AI practices.

Gemma 3 Use Cases

• Building multimodal AI applications (visual assistants).
• Analyzing large documents and research papers.
• Developing multilingual applications without fine-tuning.
• Prototyping AI features on local setups.
• Creating integrated AI workflows using function calling.
• Deploying scalable AI features with efficient resource usage.
• Question answering and summarization.
• Code generation and complex reasoning tasks.

gemma3.app Use Cases

• Developing multilingual AI applications.
• Building applications requiring advanced visual reasoning.
• Creating AI agents capable of interacting with external APIs via function calling.
• Processing and analyzing large documents, codebases, or conversations.
• Deploying high-performance AI models on resource-constrained hardware.
• Fine-tuning foundational models for specific tasks and domains.

Gemma 3 FAQs

• What is Gemma 3 and how does it differ from previous versions?

  Gemma 3 is Google's most advanced open AI model based on Gemini 2.0 technology. It features multimodal capabilities, a 128K token context window, support for 140+ languages, and multiple sizes optimized for single GPU/TPU use.
• What hardware do I need to run Gemma 3?

  Gemma 3 runs on various hardware: 1B on CPUs/mobile, 4B on consumer GPUs, 27B on a single NVIDIA GPU. Optimal performance is achieved with NVIDIA GPUs, Google Cloud TPUs, or AMD GPUs (ROCm).
• Can I adjust parameters when using Gemma 3 on this page?

  Yes, adjustable parameters include Max new tokens (1-2048), Temperature (0.1-4.0), Top-p (0.05-1.0), Top-k (1-1000), and Repetition penalty (1.0-2.0) to customize output.
• What types of tasks is Gemma 3 particularly good at?

  It excels at question answering, summarization, reasoning, code generation, image understanding, multilingual processing, and structured output generation via function calling, especially with long documents due to its 128K context window.
• How does Gemma 3 compare to other open models?

  Gemma 3 offers state-of-the-art performance for its size, potentially outperforming larger models like Llama-405B and DeepSeek-V3 on a single GPU, making it accessible and cost-effective.

gemma3.app FAQs

• What sizes does Gemma 3 come in?

  Gemma 3 is available in four sizes: 1B, 4B, 12B, and 27B parameters, allowing you to choose the best model for your specific hardware and performance needs.
• Does Gemma 3 support multiple languages?

  Yes, Gemma 3 offers out-of-the-box support for over 35 languages and pretrained support for over 140 languages, making it ideal for building globally accessible applications.
• Does Gemma 3 support multimodal inputs?

  Yes, Gemma 3 can process both text and images, enabling applications with advanced visual reasoning capabilities. The 4B, 12B, and 27B models all support vision.
• How can I deploy Gemma 3?

  Gemma 3 offers multiple deployment options, including Google GenAI API, Vertex AI, Cloud Run, Cloud TPU, and Cloud GPU. It also integrates with popular frameworks like Hugging Face, JAX, PyTorch, and Ollama.
• Is Gemma 3 available for commercial use?

  Yes, Gemma 3 is provided with open weights and permits responsible commercial use, allowing you to tune and deploy it in your own projects and applications.