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Explore Models

This page covers the available generative AI models in Vertex AI and how to choose the right one for your use case.

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Model Documentation

Visit the official documentation for the complete model catalog:

Vertex AI Generative Models

What You Can Review

The documentation covers:

  • Capabilities: What each model can do (text, code, vision, etc.)
  • Specifications: Context window sizes, output limits
  • Knowledge cutoff dates: When the model's training data ends
  • Token consumption: How tokens are counted for billing

Common Model Choices

Model Use Case Notes
gemini-1.5-flash Fast, general-purpose Good balance of speed and quality
gemini-1.5-pro Complex reasoning Higher quality, slower
gemini-1.0-pro Legacy support Previous generation

Model Selection Tips

  1. Start with gemini-1.5-flash for development and testing
  2. Upgrade to gemini-1.5-pro when you need better quality
  3. Consider token limits when working with long documents
  4. Check pricing before production deployment

Next Step

Continue to Code Examples for sample code demonstrating various use cases.