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AI

Google Gemini integration

Gemini is the 3rd family in the multi-LLM router. Differentiators: 1-2 million token window (fits a whole repo), native multimodal (text + image + audio) and competitive cost.

What this integration does

1M+ token context

The largest window on the market — pass entire docs or repo.

Native multimodal

Text, image and audio in one model, no separate pipelines.

Aggressive cost

Gemini Flash costs cents per million tokens — ideal at scale.

Encrypted API key

Your key stays encrypted at rest.

How to connect

  1. 1

    Generate an API key

    In Google AI Studio or Vertex AI, create a dedicated key.

  2. 2

    Add it to Abstract

    Paste it in the Prisma Studio Integrations panel.

  3. 3

    Done

    Multi-LLM starts considering Gemini in routing.

What we access

Transparency on the access this integration requires.

  • We use the API key only to call Google's API in your tasks.
  • Token cost is billed straight to your Google Cloud account.
  • You can rotate or revoke the key at any time.

Frequently asked questions

AI Studio or Vertex AI?
AI Studio is simpler (direct key). Vertex offers more enterprise control (IAM, logs, regions).
Is Gemini better than GPT/Claude?
Depends on the task. Multi-LLM handles it by using the best of each — no need to pick just one.

Other integrations

Build with Google Gemini on Prisma Studio

Generate your app with AI and connect Google Gemini in a few clicks.

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