Gemini on Vertex AI is the programmatic API for Google’s foundation model family, targeting developers and enterprises that want to integrate language models into their own applications and products. This is a different access path than Gemini in Google Workspace: while Google Workspace Gemini addresses end-user features like Gmail summaries or Docs assistants, the Vertex AI API provides full programmatic access for developers.
The Gemini Model Family on Vertex AI
The Gemini 2.0 family offers several specialized models for different requirements: Gemini 2.0 Flash is the cost-efficient, fast model for high-throughput requirements and is fully multimodal (text, image, video, audio). Gemini 2.0 Pro is optimized for complex reasoning tasks, code generation, and analytical questions. The Gemini 1.5 series remains relevant with its up to 2-million-token context for tasks that need to process very long documents or code histories.
A key differentiator of the Vertex AI API is grounding with Google Search: models can retrieve current information from the web, reducing hallucinations on time-sensitive topics. Additionally, fine-tuning is available for all major models, allowing enterprises to adapt Gemini to their own data and operate it in EU regions. The API supports streaming responses, parallel function calls, and structured output (JSON mode) for production-ready integrations.
Billing is token-based with different prices depending on model size and modality. For EU compliance, the regions europe-west1 (Belgium), europe-west4 (Netherlands), and europe-west3 (Frankfurt) are available. Enterprise data is not used for Gemini training when the Vertex AI API is used through Google Cloud.
Integration with innFactory
As a Google Cloud partner, innFactory supports the integration of Gemini into your applications: API integration, prompt engineering, fine-tuning projects, and architecture consulting for production-ready Gemini deployments.
Contact us for technical consulting on Gemini on Vertex AI.
