If you’re running the same prompt through Claude for every task in n8n—whether it’s analyzing a complex doc or just extracting a date—you’re probably overpaying, you’re locked into one provider, and you’re setting yourself up for a single-point failure when that model rate-limits or goes down. In this video, I show three practical ways to use multiple LLMs in n8n so your workflows are cheaper, more flexible, and don’t randomly stop running. First, I walk through setting up OpenRouter so you can access hundreds of models (Claude, OpenAI, Gemini, and more) with one API key inside n8n. Then I build a simple model selector that routes SQL/code-like inputs to Anthropic (because it tends to be better for that) while sending other inputs to an OpenAI model—based purely on workflow data and conditions like “contains select” and “contains from.” Finally, I show how to enable fallback models directly in your AI Agent node so if your primary provider is down, n8n automatically switches to your second-choice model and keeps the automation alive. The takeaway: stop paying premium model prices for low-value tasks, and design your workflows with routing + redundancy from day one.