n8n vs Zapier vs Make in 2026: Which Should You Actually Use?

n8n vs Zapier vs Make in 2026: Which Should You Actually Use?

If you're automating more than a handful of simple workflows, the platform you pick will affect your costs far more than most businesses realise — the three leading tools charge for usage in fundamentally different ways, and that difference compounds fast as you scale.

The Pricing Models Are Not Equivalent

• Zapier charges per *task* — every individual action step inside a workflow counts separately, so a single automation with 8 steps that runs 100 times uses 800 tasks, not 100.

• n8n charges per *workflow execution* — the entire run counts as one execution regardless of how many steps or nodes it contains.

• Make sits in between, priced around operations, with a lower entry point than either.

Why This Matters at Scale

For a workflow with 8 steps running 10,000 times a month: a Zapier Team plan can run to roughly $250–400+ per month for that single workflow. Self-hosted n8n handles the same volume for roughly $10–15/month in server costs, or $50/month on n8n's managed cloud plan. That's an 80–90% cost difference for identical output, purely down to the pricing model — not the quality of automation.

The Self-Hosting Angle Nobody Mentions in the Comparison Posts

n8n is the only one of the three that's genuinely self-hostable. For teams building AI agent workflows that touch sensitive customer data, regulated records, or anything you don't want passing through a third party's servers by default, that matters more than the pricing — self-hosting keeps the data on your own infrastructure rather than a SaaS vendor's.

So Which Should You Pick?

• Zapier: best if you need the widest library of pre-built app integrations and you're automating a handful of low-volume workflows where the per-task cost never adds up to much.

• Make: a reasonable middle ground for visual, moderately complex workflows without committing to self-hosting.

• n8n: the clear choice once you're running high-volume or AI-agent-driven workflows, or once data residency and self-hosting actually matter to your business.

Most businesses don't need to lock into one platform forever — but picking based on task volume and data sensitivity up front saves a painful migration later. This is exactly the kind of platform decision we make as part of every automation build, before a single workflow gets built.