n8n vs Zapier vs Make: Which Automation Tool Fits You?

Pick Zapier if you want the fastest setup and the biggest app catalog, Make if you want visual control at the lowest entry price, and n8n if your workflows are long, loop over many items, run AI agents or need to live on your own server. The real difference is how each one bills you: Zapier charges per action, Make per module run and n8n per whole workflow run.

n8n vs Zapier vs Make at a glance

How each tool charges you

The billing unit matters more than the sticker price. The same workflow can look cheap on one tool and expensive on another.

The polling rule is the one that surprises people. Make's guide to how operations are counted shows a trigger using one operation per check, so a scenario that checks every 15 minutes uses about 2,880 credits a month (4 checks an hour, 24 hours, 30 days) before it finds anything.

Zapier never charges for polling, and n8n's execution rules only count a poll when it finds new data.

The same workflow, priced three ways

Prices only mean something against your own workflow. Here are three common shapes, priced with the plans listed on October 18, 2026, all billed annually:

Two patterns stand out. Zapier gets expensive fastest as workflows grow, and n8n barely notices loops, because 50 rows inside one run is still one execution.

You can let an AI do this counting for your real workflow. Paste this into Claude or ChatGPT:

Here is a workflow I want to automate: [DESCRIBE THE TRIGGER AND EVERY STEP].
It will run about [NUMBER] times a month, and each run handles about [NUMBER] items.
Count the monthly usage under three billing rules:
1. Zapier: each successful action is one task. The trigger, filters, paths and formatter steps are free.
2. Make: each module run is one credit, including the trigger. A scheduled trigger also uses one credit per check, even when nothing new is found. It checks every [MINUTES] minutes.
3. n8n: each full workflow run is one execution, however many steps or items it has.
Show your working in a table, then list every step you were unsure how to count.

Hosting and data control

Zapier and Make run only in their own clouds; Make lists AWS in the EU or North America as its hosting. n8n's pricing FAQ says its Cloud plans store data on servers in Frankfurt, Germany, and the free Community Edition runs on any server you control.

Self-hosting means you handle updates, backups and security yourself. The n8n pricing guide breaks down what a server really costs and what the free license allows.

AI features compared

All three now market themselves as AI platforms. Here is what each one actually offers:

MCP (Model Context Protocol) is a standard way for AI assistants such as Claude to use outside tools. In my view, n8n gives you the most control over how an agent behaves, and the n8n AI agent tutorial builds one step by step.

Learning curve, honestly

• Zapier: you pick an app, then an event, one step at a time. It is the gentlest start, and Copilot can draft a Zap from a sentence.
• Make: a visual canvas with routers and iterators. There is more to learn, but you see the whole flow at once.
• n8n: a node canvas where data moves as items and you map fields with expressions. It is the most flexible and the steepest climb, and n8n's own docs recommend its Cloud over self-hosting for anyone not experienced with servers.

If you want to feel the difference yourself, the n8n tutorial for beginners builds a complete lead workflow from scratch.

Choose by situation

If none of the three fits, the roundup of the best AI automation tools covers seven more options. Whatever you pick, decide with your own numbers rather than a feature list:

What to do next

Write down your three busiest workflows with their steps and monthly runs, and price them with the counting rules above. The cheapest tool for your numbers is often not the one with the lowest sticker price.

Build your biggest workflow on that tool's free tier before you pay. If you would rather learn these tools with a guided plan, our AI automation course is in early access.