Connect Google Gemini AI and OpenAI (ChatGPT, Sora, DALL-E, Whisper) integrations
Connect Google Gemini AI with OpenAI (ChatGPT, Sora, DALL-E, Whisper) through Make to automatically trigger conversational responses, visual content creation, and audio transcriptions based on Google Gemini AI inputs—creating intelligent workflows that respond to your needs without manual intervention.
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Build your Google Gemini AI and OpenAI (ChatGPT, Sora, DALL-E, Whisper) integrations.
Connect OpenAI (ChatGPT, Sora, DALL-E, Whisper) as a trigger with Google Gemini AI as an action through Make's integration platform. When OpenAI (ChatGPT, Sora, DALL-E, Whisper) detects or processes specific inputs, it triggers automated actions in Google Gemini AI to generate conversational responses, create visual content, or transcribe audio files. This trigger-action workflow enables you to automatically route outputs from OpenAI (ChatGPT, Sora, DALL-E, Whisper) directly into Google Gemini AI's suite of tools, creating automation chains that respond dynamically to your inputs without manual intervention.
Adds files to a specified vector store or, if not specified, creates a new vector store based on the configuration.
Analyzes images according to specified instructions.
Cancels an "in-progress" batch. The batch will be in status "cancelling" for up to 10 minutes, before changing to "cancelled", where it will have partial results (if any) available in the output file.
Creates and executes a batch of API calls.
Creates a new file search store.
Deletes an existing conversation.
Deletes a file from a selected files search store.
Deletes a file search store.
Deletes an existing model response.
Popular Google Gemini AI and OpenAI (ChatGPT, Sora, DALL-E, Whisper) workflows.
Looking to get more out of Google Gemini AI and OpenAI (ChatGPT, Sora, DALL-E, Whisper)? With Make you can visually integrate Google Gemini AI and OpenAI (ChatGPT, Sora, DALL-E, Whisper) into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
How to setup Google Gemini AI and OpenAI (ChatGPT, Sora, DALL-E, Whisper) in 5 easy steps
Set up your Google Cloud project
Log in to Google Cloud Platform with your Google account and create a new project by clicking 'Create or select a project' and then 'New project'. Give your project a name and location, then click 'Create'. This project serves as the foundation that will allow Make to connect with Google Gemini AI and use its features in your automated workflows.
Generate your API key in Google AI Studio
After your Google Cloud project is ready, go to Google AI Studio and click 'Get API key', then select 'Create API key'. Choose your existing Google Cloud project from the list and click 'Create API key in existing project'. This API key is like a special password that allows Make to securely communicate with Google Gemini AI on your behalf.
Store your API key safely
Copy the API key that appears on your screen and save it in a secure location where you can easily access it later. Treat this key like you would a password, as it provides access to your Google Gemini AI services. You'll need this key in the next step to complete the connection in Make.
Add the Google Gemini AI module in Make
Log in to your Make account and open the scenario where you want to use Google Gemini AI. Add a Google Gemini AI module to your scenario, which will automatically prompt you to create a new connection. This is where you'll link your Make account with the Google Gemini AI service you set up earlier.
Complete the connection
Click 'Create a connection' when prompted and paste the API key you copied from Google AI Studio into the 'API Key' field. You can optionally give your connection a custom name to help you identify it later, then click 'Save'. Once saved, the connection is active and Google Gemini AI will be ready to use in your Make automation scenarios.
Build advanced AI workflows with Google Gemini AI and OpenAI integration
Combine Google Gemini AI and OpenAI (ChatGPT, Sora, DALL-E, Whisper) to compare outputs, ensure reliability, optimize costs, and build powerful multimodal workflows that leverage each platform's strengths.
Automatically route the same prompts to both Google Gemini and OpenAI models to compare outputs, validate responses, and select the best AI-generated content for your specific use case.
Create a resilient AI workflow where if one service experiences downtime or rate limits, Make automatically switches to the alternative AI provider to ensure uninterrupted operations.
Leverage the unique strengths of each AI platform by routing specific tasks to the most suitable model, such as using Gemini for Google-integrated tasks and GPT-4 for complex reasoning.
Automatically distribute AI requests between Google Gemini and OpenAI based on pricing, token limits, or task complexity to minimize API costs while maintaining quality output.
FAQ
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