Connect OpenRouter and OpenAI (ChatGPT, Sora, Whisper) integrations

Yes! Make allows you to create intelligent workflows that dynamically route your AI requests between OpenRouter and OpenAI based on your custom criteria. You can set up conditional logic to use OpenRouter's cost-effective model routing for routine tasks while reserving OpenAI's direct API access for priority requests. This optimization can significantly reduce your AI costs while maintaining performance where it matters most. Make's visual workflow builder makes it straightforward to implement these routing rules without complex coding.

By integrating both OpenRouter and OpenAI through Make, you create a resilient AI infrastructure with built-in redundancy. If OpenAI experiences downtime or rate limiting, Make can automatically failover to alternative models through OpenRouter's extensive network. You can also A/B test different models simultaneously, compare responses in real-time, and switch between providers based on performance metrics. This multi-provider strategy ensures your applications remain operational and gives you the flexibility to adapt as the AI landscape evolves, all managed through Make's intuitive automation platform.

Absolutely! Make excels at orchestrating complex multi-model workflows. You can create sophisticated automation scenarios where you leverage OpenAI's GPT-4 for initial analysis, route specialized tasks through OpenRouter's diverse model selection (like Claude, Llama, or Mistral), and then use OpenAI's DALL-E for image generation or Whisper for audio processing—all in one connected workflow. Make's drag-and-drop interface allows you to chain these AI operations together, process results between steps, and create powerful compound AI solutions that would be difficult to build with individual API calls.

Make provides comprehensive monitoring and optimization tools for your AI spending across both platforms. You can track token usage, response times, and costs for each request in real-time through Make's execution history. Set up automated workflows that route requests to the most cost-effective option—using OpenRouter's competitive pricing for standard queries while reserving OpenAI's premium models for critical tasks. Make also allows you to implement spending caps, receive alerts when thresholds are exceeded, and generate detailed analytics reports. Many users report 40-60% cost reductions by intelligently distributing their AI workload between providers using Make's automation capabilities.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.