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OpenAI (ChatGPT, Whisper)
OpenRouter

Connect OpenAI (ChatGPT, Sora, DALL-E, Whisper) and OpenRouter integrations

Explore ready-made OpenAI (ChatGPT, Whisper) and OpenRouter templates and start automating in minutes.

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Create a custom workflow

Automatically trigger OpenRouter actions every time OpenAI (ChatGPT, Sora, DALL-E, Whisper) generates content, creating workflows that route AI outputs through OpenRouter's model routing system without manual intervention. Connect your OpenAI (ChatGPT, Sora, DALL-E, Whisper) processes directly to OpenRouter through Make and build powerful automated workflows that respond instantly to every AI event.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

OpenAI (ChatGPT, Whisper)
Trigger: Watch batch completed
OpenRouter
Action: Select an action
1. Select a trigger

  • Triggers when a batch is completed.

2. Select an action

  • Creates a new chat completion with a selected AI Model and automatic fallback if enabled.

  • Creates a chat completion with specifically defined fallback models.

  • Performs an arbitrary authorized API call.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Connect OpenRouter as a trigger and OpenAI (ChatGPT, Sora, DALL-E, Whisper) as an action through Make's integration platform. When OpenRouter generates content or completes a process, it triggers an automated workflow that sends requests to OpenAI (ChatGPT, Sora, DALL-E, Whisper) as the resulting action. This integration enables you to automatically route OpenRouter's outputs to OpenAI (ChatGPT, Sora, DALL-E, Whisper)'s model routing system, creating workflows where OpenRouter events initiate corresponding actions in OpenAI (ChatGPT, Sora, DALL-E, Whisper) without manual intervention.

Analyze images (Vision)
Analyzes images according to specified instructions.
Action
Cancel a batch
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.
Action
Create a batch
Creates and executes a batch of API calls.
Action
Create a Chat Completion
Creates a new chat completion with a selected AI Model and automatic fallback if enabled.
Action
Create a Chat Completion (with Fallback)
Creates a chat completion with specifically defined fallback models.
Action
Create a skill
Creates a new skill.
Action
Create a skill version
Creates a new immutable skill version.
Action
Create a vector store or add files
Creates a new vector store and optionally adds files to it, or adds files to an existing vector store.
Action
Delete a conversation
Deletes an existing conversation.
Action
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How to set up OpenAI (ChatGPT, Whisper) and OpenRouter in 5 easy steps

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Step 1

Add OpenRouter to your Make scenario

Log into your Make account and open the workflow where you want to use OpenRouter. Add an OpenRouter module to your scenario and click the 'Create a connection' button. This starts the process of linking Make with OpenRouter so they can work together in your automation.

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Step 2

Choose between two connection methods

Make gives you two options to connect with OpenRouter: OAuth2 or API Key. OAuth2 automatically connects through your OpenRouter account login, making it quick and straightforward. The API Key method requires you to copy and paste a special code from OpenRouter, giving you more direct control over the connection.

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Step 3

Set up OAuth2 connection

If you choose OAuth2, select 'OpenRouter OAuth2' as your connection type and give it a name you'll remember. Click 'Save' and you'll be guided through a login process where you authorize Make to access your OpenRouter account. Once you complete this authorization, your connection is ready to use.

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Step 4

Get your API key from OpenRouter

For the API Key method, log into OpenRouter and click your profile icon in the top right corner. Go to 'Keys' and click 'Create API Key', then give it a descriptive name and click 'Create'. Copy the key that appears immediately and save it somewhere safe, as OpenRouter won't show it again.

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Step 5

Connect using your API key

Back in Make, add the OpenRouter module and click 'Create a connection'. Select 'OpenRouter' as the connection type and paste your copied API key into the API Key field. Click 'Save' to complete the setup, and your Make and OpenRouter connection will be established and ready for your automations.

Improve cost savings and reliability with OpenAI and OpenRouter integration

Integrate OpenAI and OpenRouter to optimize AI costs, ensure uptime with automatic fallbacks, compare multiple models simultaneously, and access diverse LLM capabilities for every task complexity level.

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Intelligent model routing and cost optimization

Automatically route requests between OpenAI's models and alternative providers through OpenRouter to optimize costs while maintaining quality.

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Fallback and redundancy protection

Create resilient workflows that automatically switch to OpenRouter's alternative models when OpenAI services experience downtime or rate limits.

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Multi-model comparison and testing

Run parallel requests to OpenAI and OpenRouter models simultaneously to compare outputs, benchmark performance, and select the best responses.

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Flexible model selection based on task complexity

Dynamically route queries to cost-effective OpenRouter models while reserving OpenAI's advanced GPT-4 for complex tasks requiring higher reasoning.

Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

By integrating OpenAI and OpenRouter through Make, you can create intelligent routing systems that automatically select the most cost-effective or performant AI model for each task. OpenRouter acts as a unified gateway to multiple LLMs, while OpenAI provides access to GPT-4o, o1, and other powerful models. Make's automation platform lets you build workflows that compare responses, fallback to alternative models when needed, or route different types of requests to the optimal provider—all without writing complex code. This means you can reduce API costs by up to 90% while maintaining quality.

The combination unlocks powerful automation possibilities: create content generation workflows that use OpenRouter to test multiple models simultaneously and OpenAI's GPT-4 for final refinement; build intelligent chatbots that route queries to cost-effective models via OpenRouter and complex reasoning tasks to OpenAI's o1 model; automate document processing where OpenRouter handles initial analysis and OpenAI's Whisper transcribes audio components; or develop creative workflows where DALL-E generates images based on text refined through multiple LLM iterations via OpenRouter. Make's visual interface makes building these multi-step automations accessible, even for non-developers.

No coding experience is required. Make provides a visual, drag-and-drop interface that allows you to connect OpenAI and OpenRouter through pre-built modules. You authenticate your API keys, select the actions you want (like 'Create a Chat Completion' for OpenAI or route a request through OpenRouter), and connect them with other apps in your workflow. Make handles all the technical complexity of API calls, data formatting, and error handling automatically. You can start with templates and customize them to your needs, making enterprise-grade AI automation accessible to everyone.

Make includes built-in features specifically designed for reliable AI integrations: automatic error handling and retry logic ensure your workflows continue even if an API temporarily fails; you can set up fallback routes so if OpenAI is unavailable, requests automatically go through OpenRouter to alternative models; the platform includes data transformation tools to ensure outputs from different AI models are consistently formatted; and execution history lets you monitor and debug every step. Additionally, Make's scenario scheduling and webhook triggers mean your AI automations run exactly when needed, whether that's real-time processing or batch operations during off-peak hours for cost savings.