--- title: Google Gemini AI slug: NrUNDw84SHdHFeIeX-yKe image: https://make-cxp-documentation.ams3.digitaloceanspaces.com/apps-center-icons/PREVIEW_gemini-ai.png docTags: createdAt: 2025-04-28T15:43:01.343Z --- ::::VerticalSplit{layout="left"} :::VerticalSplitItem ::Image[]{src="https://api.archbee.com/api/optimize/oAyFj2GHlBeBVWF5OAir2/YjzRvJ8HcHXyHykDiYiGH-20251121-122531.png" size="50" width="800" height="800" position="center" darkWidth="800" darkHeight="800" showCaption="false"} ::: :::VerticalSplitItem With the Google Gemini AI app in Make, you can create chat completions, make API calls, and upload files in your Google Gemini account. ::: :::: :::hint{type="info"} You can send prompts without a Gemini account or connection in Make using the **Simple text prompt **module. Learn more in the [modules](docId\:I7AfgK7XbDoTdkFZ3O7W9) section. ::: # Requirements To use the Google Gemini AI app in Make, you must have a [Google account](https://account.google.com) and an existing Google Cloud project in the [Google Cloud Platform](https://console.cloud.google.com/). When you have a created Google Cloud project, you must obtain an API key in Google AI Studio. # Connect Google Gemini AI and Make To get started, you must first create a connection between Google Gemini AI and Make, allowing the two services to communicate. To create the connection, you need to: ::::WorkflowBlock :::WorkflowBlockItem [Create a Google Cloud Platform project for Google Gemini AI.](docId\:I7AfgK7XbDoTdkFZ3O7W9) ::: :::WorkflowBlockItem [Obtain an API key in your Google AI Studio.](docId\:I7AfgK7XbDoTdkFZ3O7W9) ::: :::WorkflowBlockItem [Create the connection in Make.](docId\:I7AfgK7XbDoTdkFZ3O7W9) ::: :::: ## Create a Google Cloud Platform project for Google Gemini AI Once you have created a Google Cloud Platform project, and obtained your API key, you're ready to create the connection in Make. :::hint{type="info"} To create a new project or work in the existing one, you need to have the `serviceusage.services.enable` permission. If you don’t have this permission, ask the Google Cloud Platform Project Owner or Project IAM Admin to grant it to you. ::: ::::WorkflowBlock :::WorkflowBlockItem Log in to the [Google Cloud Platform](https://console.cloud.google.com/) using your Google credentials. ::: :::WorkflowBlockItem On the welcome page, click **Create or select a project** > **New project**. ::: :::WorkflowBlockItem Enter a **Project name** and select the **Location** for your project. ::: :::WorkflowBlockItem Click **Create**. ::: :::WorkflowBlockItem In the top menu, check if your new project is selected in the **Select a project** dropdown. If not, select the project you just created. ::: :::: Once you create your Google Cloud Platform project, you can obtain your API key in Google AI Studio. ## Obtain your API key in Google AI Studio Before you create the connection in Make, you should first obtain an API key in your Google Gemini account. To obtain the API key: ::::WorkflowBlock :::WorkflowBlockItem Log in to your [Google AI Studio](http://makersuite.google.com/). ::: :::WorkflowBlockItem Click **Get API key**. ![](https://api.archbee.com/api/optimize/oAyFj2GHlBeBVWF5OAir2/NBdKSOkdwKA3nZ0lRts0L_getapikey.png) ::: :::WorkflowBlockItem Click **Create API key**. ::: :::WorkflowBlockItem Name your API key, and select an existing Gemini project or create a new one. ::: :::WorkflowBlockItem Click **Create key**. ::: :::WorkflowBlockItem Copy the **API Key** value and store it in a safe place. ::: :::: You'll use this value in the **API Key** connection field in Make. ## Create the connection in Make Once you have your Google AI Studio API key, you're ready to create the connection in Make. To create the connection: ::::WorkflowBlock :::WorkflowBlockItem Log in to your Make account, add an Google Gemini AI module to your scenario, and click **Create a connection**. ::: :::WorkflowBlockItem Optional: In the ​​**Connection name​​** field, enter a name for the connection. ::: :::WorkflowBlockItem In the ​​**API Key** field, enter the API key you copied from your Google AI Studio account. ::: :::WorkflowBlockItem Click **Save**. ::: :::WorkflowBlockItem If prompted, authenticate your account and confirm access. ::: :::: You've successfully created the connection and can now use the Google Gemini AI app in your scenarios. If you want to make changes to your connection in the future, follow the steps [here](https://help.make.com/connect-an-application#tN2pJ). # Google Gemini AI modules You can use the following Google Gemini AI modules to build your scenarios. The **Simple text prompt** module requires no setup, while other modules require connecting to the Google Gemini AI app. ::::ExpandableHeading{isOpen="true"} ### Get Started **Simple text prompt** :::hint{type="info"} On Free plans and trials, the** Simple text prompt** module supports only the **Gemini 2.5 Flash** model. To use other models, upgrade to a paid plan. ::: The** Simple text prompt** module allows you to select a model and enter your prompt, with no other setup required. The module uses credits based on the amount of input and output tokens consumed in each run. Input tokens depend on the prompt you enter, and output tokens are based on the response. After each run, you can see how many tokens were used in the module's output. The table below shows how input and output tokens convert to credits for Google Gemini AI models: | **Model name** | **Input tokens per credit** | **Output tokens per credit** | | ---------------------- | --------------------------- | ---------------------------- | | Gemini 4 Argon | 452 | 90 | | Gemini 3.8 Flash | 1205 | 241 | | Gemini 3.7 Flash | 1205 | 241 | | Gemini 3.6 Flash | 602 | 120 | | Gemini 3.5 Flash | 602 | 100 | | Gemini 3.1 Pro Preview | 452 | 75 | | Gemini 3 Flash Preview | 1808 | 301 | | Gemini 2.5 Pro | 723 | 90 | | Gemini 2.5 Flash | 3013 | 362 | :::: :::ExpandableHeading{isOpen="true"} ### Other - Generate a response - Upload a file - Generate an image - Generate a video - Extract structured data - Make an API call - Generate speech from text - Generate embeddings - Generate music ::: :::ExpandableHeading{isOpen="true"} ### File Search - Create a file search store - List file search stores - Get a file search store - Delete a file search store - List files from a file search store - Delete a file in a file search store - Get a file from a file search store ::: # Templates You can look for Google Gemini AI templates in [Make's template gallery](https://www.make.com/en/templates), where you'll find thousands of pre-created scenarios. # Google Gemini AI resources - [Gemini API documentation](https://ai.google.dev/gemini-api/docs)