AI Automation Tools Pricing Compared: Zapier vs Make vs n8n vs Lindy

Let me save you the scroll: if you run a few hundred automations a month and nobody on your team codes, Zapier is worth the premium and you should stop shopping. If you're pushing into the thousands of steps a month, Make is usually the cheapest hosted option. And if you have anyone technical — or you're willing to give up a weekend — self-hosted n8n is not even in the same conversation on price.

I've been building automations for small businesses and side projects for years — lead routing, invoice parsing, content pipelines, the boring glue work that nobody wants to do by hand. I've run real production workflows on all four tools in this article, and I've personally been surprised by a bill on every single one of them. That's kind of the theme here.

I'm not affiliated with any of these companies, and I'm not going to quote you exact prices down to the cent. Pricing in this category changes constantly, plans get renamed, and anyone giving you precise numbers is either guessing or already out of date. Treat everything below as representative figures and shapes, not a quote — always confirm on the vendor's pricing page before you commit.

Why Automation Pricing Is Genuinely Confusing

The reason nobody can tell you "which is cheaper" is that the four tools don't count the same thing. You're not comparing apples to apples; you're comparing apples to oranges to a fruit that changes definition depending on the plan.

The thing nobody tells you up front: a "task" and an "operation" are not the same measurement. A Zapier task is usually one completed action. A Make operation is one module that runs — including the trigger, and including branches that do nothing. So the same logical workflow can cost you somewhere between the same and considerably more on Make, depending on how you build it. I've seen a workflow that was cheap on Zapier become noticeably pricier after someone naively rebuilt it on Make with a bunch of extra filter branches.

Zapier: The One You Buy When Nobody Wants to Think

Zapier wins on one thing and it's not price: it's the sheer number of integrations and the fact that a non-technical person can build something useful in about fifteen minutes without watching a tutorial.

That convenience is the product. You're paying for not having to think about it. For a small business running a handful of simple "when this, do that" automations — form submission into a CRM, new sale into a Slack channel — the cost is genuinely easy to justify. Compare it to the hourly rate of whoever would otherwise be doing that copy-paste by hand.

Where Zapier hurts is volume. Multi-step workflows multiply your task count fast, and the moment you're processing anything in bulk — say a few thousand rows a week — you're going to be looking at a number that makes you wince. The other limitation people hit is that the free tier generally restricts you to single-step automations, which sounds minor until you realize almost every useful automation has at least two steps.

Pay for Zapier if: you're non-technical, you need obscure app integrations, and your volume is modest.

Make: Cheaper Per Unit, Steeper Learning Curve

Make (formerly Integromat) bills by operations, and its per-operation cost is typically lower than Zapier's per-task cost at comparable tiers. It also gives you a visual canvas where you can literally see data flowing between modules, which is fantastic once you understand it and completely baffling for the first hour.

I like Make for branching logic and error handling. Filters, routers, and fallback paths are first-class citizens instead of afterthoughts, and when something breaks you can replay the exact run and see the payload at every step. That debugging experience alone has saved me real hours.

The catch is the learning curve and the operation math. A workflow with a trigger, five modules, and three filter branches that most often do nothing still counts those modules. If you're careless about how you build, you can end up spending more than you would on Zapier despite the lower unit rate.

Pay for Make if: you're running meaningful volume, you want real debugging tools, and you don't mind spending an afternoon learning the interface.

n8n: The Value Play, If You Can Stomach It

n8n is the odd one out and the reason I'm writing this article.

The cloud version charges per workflow execution — one run of a workflow, regardless of how many steps are in it. That flips the math completely. A fifteen-step workflow with a bunch of AI calls in it is one execution. If your automations are complex but not extremely frequent, this is an enormous difference.

The self-hosted version is where things get interesting for cost. The community edition is free to run on your own hardware. A small VPS costs a few dollars a month. That's the whole bill. There's no per-task meter, no credit burn, no surprise.

But let's be honest about the tradeoff: when you self-host, you are the ops team. You handle updates, backups, uptime, and the 11pm text from a client asking why the lead form stopped working. I've had a self-hosted instance go down because a disk filled up with execution logs. That's not a hypothetical, that's a Saturday I'm not getting back.

Pay for n8n if: your workflows are complex rather than numerous, and either you have someone technical or you're okay being the one who learns.

Lindy and the Agent-Style Tools: Budget Carefully

The newer "AI agent" platforms deserve their own warning label. These tools often price in credits or AI actions rather than simple steps, and the burn rate is genuinely hard to predict before you run the thing.

An agent that autonomously decides how many steps to take is, by definition, not something you can cost out in advance. I've watched a single agent run consume what felt like a wildly disproportionate number of credits because it decided to loop. These tools are powerful and I'm not knocking them — but if you're cost-sensitive, start with the smallest tier, run it for a full billing cycle, and see what the actual consumption looks like before you scale up.

The Costs Nobody Puts on the Pricing Page

This is the part that actually blows up budgets. Your automation platform bill is usually not your real automation cost.

• AI model calls are billed separately. Almost every automation tool will

happily let you drop an AI step into a workflow, and the tokens for that step go on your own API key with your model provider. If you loop that step over a few thousand records, you will feel it.

• "Premium app" upcharges. Some integrations cost extra operations or are

gated behind higher tiers. Always check whether the specific app you need is in the base plan.

• Polling intervals. Workflows that check for new data on a schedule burn

quota even when nothing happens. A five-minute poll that finds nothing is still a run on most platforms.

• Failure retries. When a workflow errors and retries, you can pay for the

failed attempts too.

• Your own time. The cheapest tool on paper can be the most expensive in

practice if it takes you three weeks to build what another tool does in an afternoon.

A Quick Way to Estimate Your Real Bill

Stop guessing and do this instead — it takes ten minutes:

1. Pick one workflow you actually want to build.
2. Count the steps (for Zapier) or modules (for Make) per run.
3. Multiply by how many runs you expect per month. Be honest — people

systematically underestimate this.

1. Multiply the runs by the per-unit cost on the tier you're considering.
2. Add your AI model spend separately, estimated as tokens per run times runs

per month.

1. Compare that number, not the sticker price.

Doing this once changed my recommendation for a client completely — the tool that looked cheaper on the pricing page was roughly double once we counted modules properly.

What Didn't Work

I want to be straight about the mistakes, because most comparison posts pretend everything went smoothly.

Migrating a mature Zapier setup to Make to "save money." I did this for a client with around twenty established workflows. The rebuild itself took several days, and the savings were real but smaller than the naive per-unit comparison suggested — because the rebuilt workflows used more modules than the original Zaps used tasks. If I were doing it again, I'd migrate only the two or three highest-volume workflows and leave the rest alone instead of doing a full sweep.

Self-hosting n8n for a client with no technical staff. Great on paper. In practice, every small issue became a support ticket for me. The hosting cost was near zero and the human cost was not. Self-hosting only makes sense when someone owns it.

Assuming the agent-style tool would be predictable. I budgeted based on expected runs and blew past it, because agents take variable numbers of steps by design. If you need a fixed monthly number for a client, these are the wrong tools to build your budget around.

Building for scale I never hit. I once spent a weekend optimizing a workflow to shave operations, on a process that ran a couple hundred times a month. Completely wasted effort. Optimize the two workflows that actually drive your bill, not all of them.

Verdict

Here's where I landed, and I'm going to be decisive about it:

• Non-technical, modest volume, lots of different apps needed → Zapier. Pay

the premium. It's cheaper than your time.

• Meaningful volume, you don't mind learning the tool → Make. Best

price-to-capability ratio among the hosted, no-code options.

• Complex workflows, someone technical available → n8n. Self-hosted if you

can own it, cloud if you want the execution-based pricing without the server.

• **Exploratory agent automation → start tiny, measure for a full cycle, then

decide.**

And the honest meta-answer: most people should stop optimizing the platform price and instead fix the two workflows that are generating most of their usage. The tool choice matters less than the workflow design.

FAQ

Which is cheapest for a beginner with low volume?

Probably whichever one has the most generous free tier at the moment you sign up — that's usually Make or Zapier depending on how they've tuned their plans. At low volume the differences are small enough that ease of use should decide it. Don't spend three hours comparison shopping to save the price of a lunch.

Is self-hosting n8n actually worth the hassle?

It depends entirely on whether someone will own it. If you're a solo technical person or you have a developer, the savings over a couple of years are substantial. If nobody will maintain it, you're trading a predictable monthly bill for unpredictable downtime, and that's usually a bad trade.

Why did my automation bill jump without me adding workflows?

Nine times out of ten it's one of three things: a workflow started looping or retrying on failures, a scheduled poll is running far more often than you realized, or you added an AI step whose token costs land on a separate provider bill. Check the run history and sort by usage before you go hunting for a phantom.

Do I need an AI-specific automation tool at all?

Usually no. Most of what people call "AI automation" is a normal automation platform with one AI step in the middle. The agent-style platforms are worth exploring when the task genuinely needs open-ended decision-making, and are overkill (and overpriced) when a fixed workflow with one LLM call will do.

Should I mix tools?

Honestly, yes, and more people should. Nothing stops you from keeping simple high-volume work on Make and complex low-volume work on n8n. The switching cost is your attention, not a contract.