n8n vs Make vs Zapier: Which Automation Platform Should You Actually Use?

Short answer: choose Zapier if you want the easiest setup and the biggest app catalog, Make if you want visual power at a fair price, and n8n if you want maximum control, the lowest cost at scale, and the best tooling for AI automation. The single biggest difference between them isn't features — it's how they charge you, and that one detail decides which platform will still make sense when your automations get busy.

I build automation systems for clients every week, almost always on n8n. But "the tool I use" isn't automatically the right tool for you. This is the comparison I wish existed when people ask me which to pick — the trade-offs laid out plainly, without pretending one platform wins every round.

The difference that matters most: how they bill

Everything else is downstream of this. The three platforms use fundamentally different pricing models:

• Zapier charges per task. Every single action counts. A workflow that sends an email, updates a sheet, and posts to Slack burns three tasks each time it runs.
• Make charges per operation. Similar idea to Zapier — each module (step) that runs is one operation — but operations are generally cheaper, so the same work costs less.
• n8n charges per execution. One whole workflow run is a single unit, no matter how many steps it contains. That ten-step workflow? One execution.

The same automation can cost ten "tasks" on Zapier and one "execution" on n8n. Multiply that by thousands of runs a month and the gap becomes enormous.

This is why cost comparisons swing so hard as volume grows. For a multi-step workflow running many thousands of times a month, n8n commonly lands 80–90% cheaper than Zapier, with Make sitting in between. At low volume with simple one or two-step Zaps, the difference is small and Zapier's ease of use can be worth the premium. Pricing changes often — always confirm the exact current numbers on each provider's pricing page before committing.

Zapier: easiest, priciest

Zapier is the default that most people meet first, and for good reason. It has the largest catalogue of pre-built integrations — thousands of apps, many of them niche — and the gentlest learning curve. If a tool exists, Zapier probably connects to it, and you can build a working automation in minutes without thinking about infrastructure.

Best for: non-technical teams, simple linear automations, connecting obscure apps, and anyone who values "it just works" over cost efficiency.

The catch: the per-task pricing punishes complex, high-volume workflows, and you have less control over branching logic, custom code, and where your data lives. It's the premium, ease-first option — you pay for the polish.

Make: the visual middle ground

Make (formerly Integromat) sits between the other two. Its signature is a visual scenario builder where you can literally watch data flow through your automation, which makes complex, multi-branch logic easier to reason about than Zapier's more linear editor. It's meaningfully cheaper than Zapier at equivalent volumes and more approachable than n8n.

Best for: people who've outgrown Zapier's simplicity and cost but don't want to self-host or think about servers. Great for visually-minded builders handling moderately complex logic.

The catch: the operations model still charges per step, so very high-volume or very complex workflows eventually cost more than n8n. And like Zapier, it's fully cloud-hosted — your data passes through their infrastructure, with no self-hosting option.

n8n: control and low cost at scale

n8n is the power tool. It's source-available — released under the Sustainable Use License, which lets you view, self-host, and modify the code for your own use for free (some advanced enterprise features like SSO and audit logs require a paid license key). That self-hosting option is its superpower: run it on your own server and your data never leaves your infrastructure, which matters enormously for regulated industries and privacy-conscious businesses.

It also has the best AI tooling of the three. n8n ships native LangChain-style nodes for building AI agents, chaining models, giving them memory and tools, and orchestrating multi-step reasoning — which is exactly why AI automation specialists gravitate to it. You can drop to custom JavaScript whenever the visual nodes aren't enough, without leaving the workflow.

Best for: AI-heavy automations, high-volume workflows, teams that need data privacy or self-hosting, and anyone who wants deep control and the lowest running cost.

The catch: it asks a little more of you technically, especially if you self-host. The payoff is control and economics nothing else matches — but there's a learning curve, and self-hosting means you own the maintenance.

Side-by-side comparison

How to choose

Cut through it with three questions:

1. Will this run at high volume or get complex? If yes, n8n's execution-based pricing will save you serious money. If it's a couple of simple Zaps, Zapier's convenience is fine.
2. Do you care where your data lives? If you handle sensitive data or work in a regulated field, n8n's self-hosting is close to non-negotiable. If not, cloud tools are simpler.
3. Is AI central to the automation? If you're building agents, chaining models, or doing anything beyond a single AI call, n8n's tooling is the most capable. For a one-off "summarise this with GPT" step, any of the three works.

My honest bias: for the kind of AI automation we build — inbox triage, lead reactivation, voice AI, multi-step agents — n8n wins on cost, control, and capability, which is why it's our default. But if you're a small team wiring up two apps and you value zero setup over everything else, Zapier is a perfectly good answer. The wrong move is picking a platform for its logo instead of its billing model. New to all of this? Start with What Is AI Automation? for the fundamentals.

Frequently asked questions

Is n8n cheaper than Zapier?

Usually, yes — often dramatically so at scale. The reason is the billing model: Zapier charges per task (every individual action), while n8n Cloud charges per workflow execution regardless of how many steps it contains. A 10-step workflow costs 10 tasks on Zapier but one execution on n8n. If you self-host n8n, the core software is free. Always check each provider's current pricing page for exact numbers.

Is n8n open source?

n8n is source-available, not strictly open source. It's released under the Sustainable Use License, which lets you view, self-host, and modify the code for internal use for free, but restricts reselling it as a competing hosted service. Some advanced enterprise features also require a paid license key even when self-hosted.

Which is easiest for beginners: n8n, Make, or Zapier?

Zapier is the easiest to start with — it has the simplest interface and the largest library of pre-built app integrations. Make is a visual middle ground that's more powerful but has a steeper learning curve. n8n is the most flexible and developer-friendly, but expects a bit more technical comfort, especially if you self-host.

Can all three connect to AI models like GPT and Claude?

Yes. All three can call AI models such as OpenAI's GPT and Anthropic's Claude. n8n goes furthest for AI-heavy automations, with native LangChain-style nodes for building agents, chaining models, and adding memory and tools, which is why it's often preferred for AI automation specifically.