n8n vs Make vs Zapier (2026): An Honest 3-Way Comparison

Short answer: Zapier is the simplest to start with and has the most native integrations. Make sits in the middle: a visual builder that is more capable than Zapier and usually cheaper, because it charges per operation instead of per task. n8n is the most powerful of the three and the only one you can self-host, which makes it the cheapest at scale and the right pick when data control or complex logic matters. I build production systems on all three, so the rest of this is the real comparison, not the marketing version.

I run an AI automation agency. I do not sell any of these tools. I get paid to ship workflows that work, and I have shipped them on Zapier, on Make, on n8n, and on combinations of them. So I have no reason to crown a universal winner. There isn’t one. These three solve the same problem on a spectrum from “easiest” to “most powerful,” and where you land depends entirely on your team and your volume.

If you only want the two-horse race between the simplest and the most powerful, I already wrote a deep n8n vs Zapier breakdown. This post is the full three-way, with Make put where it belongs: in the middle.

n8n vs Make vs Zapier at a glance

Pricing here is approximate and changes often. Treat it as the shape of the cost, not a quote.

The one thing that decides your bill: per-task vs per-operation vs per-execution

Most comparisons bury this under feature lists. It is the single most important difference between the three, so I am putting it first.

All three charge for the work your automations do. They just count that work differently, and the counting method is what determines whether your bill stays flat or climbs every month.

• Zapier charges per task. A task is a single step. A workflow that captures a lead, enriches it, scores it, pushes it to your CRM, and pings Slack is five tasks. Run it 1,000 times and you have spent 5,000 tasks.
• Make charges per operation. Roughly, each module that runs is one operation. That same five-step flow is about five operations per run, so 5,000 operations for 1,000 runs. The math looks similar to Zapier, but Make’s operations are usually cheaper per unit, so the same volume tends to cost less.
• n8n charges per execution. The whole workflow counting as one. That five-step flow run 1,000 times is 1,000 executions. The steps inside are free.

That is the spine of the whole decision. Zapier charges the most per unit of work, Make sits cheaper in the middle, and n8n’s per-execution model plus free self-hosting makes it the floor on cost. Everything else is a refinement of that.

Where each one wins

Zapier wins on simplicity and breadth

Zapier is the easiest automation tool that exists. Trigger, action, done, with the interface holding your hand the whole way. A complete beginner ships a working Zap in minutes. It also connects to over 7,000 apps natively, so if a tool exists, Zapier probably already has a pre-built integration. That breadth is its real moat.

The cost of that simplicity is the per-task pricing and a ceiling on complexity. Branching and multi-path logic get awkward fast, because Zapier is built for linear “when this, then that” flows. It is the right tool when you want a few mainstream apps connected with zero technical setup and you would rather pay more to never touch a settings panel.

Make wins as the visual middle ground

Make (formerly Integromat) is the in-between answer most people are actually looking for. You build on a visual canvas, like Zapier, but you get real branching, routers, iterators, and more room for logic before things get unreadable. It has a large integration library (fewer than Zapier, more than enough for most stacks) and its per-operation pricing is generally cheaper than Zapier’s per-task model for the same work.

So Make is the upgrade path for someone who has outgrown Zapier’s simplicity and bill but is not ready to self-host or write code. More power than Zapier, lower cost than Zapier, still a managed cloud tool you do not have to maintain. The tradeoffs: it is cloud-only, your data still passes through their infrastructure, and at very high volume the per-operation count still adds up faster than n8n’s per-execution model.

n8n wins on power, control, and cost at scale

n8n shows you the actual workflow as a node graph. More powerful, more to learn. Real branching, loops, error handling, and custom JavaScript or Python in any node, so a deep workflow with several decision points stays readable where Zapier and Make start to strain. It ships around 1,000 native integrations, fewer than the other two, but its HTTP Request node connects to anything with an API, which is effectively unlimited reach for a developer.

The two things only n8n gives you: self-hosting and the per-execution price floor. Self-hosted, every byte stays inside infrastructure you control, which is why regulated work (legal, insurance, finance) tends to land here. And the server can be a $5 to $20 a month box on Hetzner, so at scale the cost difference against the other two is not small, it is structural.

A real cost example across all three

Say you run lead-gen automation. Each new lead triggers a five-step workflow: capture, enrich, score, push to CRM, notify Slack. You process 2,000 leads a month.

• Zapier: 2,000 runs at five tasks each is 10,000 tasks a month. That puts you well past the entry plans and into a much higher tier, and the bill keeps climbing as you grow.
• Make: roughly 10,000 operations for the same work, but at a lower per-operation rate, so usually a meaningfully smaller bill than Zapier for identical volume.
• n8n: 2,000 executions. You fit a low cloud tier around €20 a month, or self-host for the price of a small server and pay close to nothing per execution.

Same automation, three different bills, and the gap widens every month you grow. None of this is a knock on Zapier or Make. With the managed tools you are buying convenience and zero maintenance. Just know what you are buying.

Which one wins for you

Three quick profiles. Find yourself.

Choose Zapier if you are non-technical, your workflows are simple and linear, you connect mainstream apps, and you would rather pay a premium to never think about infrastructure. This is most solopreneurs and small teams on day one.

Choose Make if you have outgrown Zapier on either complexity or cost, you want a visual builder with real branching, and you are not ready to self-host or write code. It is the natural step up that keeps you in managed-cloud comfort while lowering the per-unit cost.

Choose n8n if you have someone technical, your workflows have heavy logic, you care where your data lives, or you run enough volume that per-task and per-operation pricing both start to hurt. Self-hosted n8n is effectively free at the infrastructure level and the only option that keeps your data fully in-house. It is why most builds I ship land here, and it is what our n8n automation services are built around.

Choose none of them, and hire a build, if the automation is core to how you make money and you do not have the weeks to learn a platform well enough to trust it. More on that next, because it is the option nobody writing these comparisons will tell you about.

When you should skip all three and hire a build

Here is the part the tool blogs never write, because they are selling tools.

Zapier, Make, and n8n are all platforms. They give you the canvas. You still have to design the workflow, handle the edge cases, test it, and maintain it when an API changes and your automation breaks at 2am. For a simple automation that is fine, you learn the tool, you build it, you move on.

When the automation is core to revenue, the calculus changes. I have watched founders spend weeks fighting a tool to build something my team would have shipped in days, then break it the first time a dependency updated. Their time is worth more than that. So is yours.

You should hire a build when the workflow is complex enough that a mistake costs real money, when it needs to integrate with systems that have no pre-built connector, when you need it monitored so it does not silently fail, or when you simply do not have the weeks to learn a platform deeply. That is the work we do at Code2b. We pick the right tool for the job (sometimes Zapier, sometimes Make, often n8n, frequently a mix), build it, test it, and keep it running. Productized workflows start from €1,999 with fixed scope and a fixed fee, and most builds are live in 2 to 4 weeks.

If you want to know which tool fits your specific situation, the fastest way to find out is a free automation audit. We will look at your actual process and tell you straight, even if the honest answer is “this is simple, build it yourself on Zapier.”

Frequently asked questions

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Written by Aleksandar Janca, co-founder of Code2b. Self-taught builder, former pro athlete, and the person who personally architects every Code2b automation. I have shipped production workflows on Zapier, Make, n8n, and custom Go and Python services for agencies and traditional businesses across many industries. If you want an honest read on which tool fits your situation and what is worth automating, let’s talk.