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Make vs n8n vs Zapier: which automation platform fits your team?
Drafted May 24, 2026 by Pondero Editorial.
The axis that actually decides this is not which one has the most app connectors. It is how each platform charges, because the billing model sets your real cost at scale and locks in long before you notice. Zapier bills per task, where a task is one action your automation takes. Make bills per operation, where an operation is one module execution. n8n bills per execution, where an execution is one full run of a workflow no matter how many steps it contains. Same automation, three meters running at three different speeds.
The fast version: pick Zapier for quick setup and a broad app library, pick Make for visual depth and a billing model that gets cheaper as workflows get more complex, pick n8n for self-hosting and code-level control. The pricing meter is the thing to decide on first. Below is why each model wins where it wins, a feature split, and the team profiles where the call is clear. For the wider category, see our workflow automation tools directory.
Why the billing model decides this
Run one workflow with five steps, a thousand times a month. On Zapier that is roughly 5,000 tasks, because each of the five actions is metered. On Make that is roughly 5,000 operations, metered the same per-module way. On n8n that is 1,000 executions, because the whole five-step run counts once. The more steps your workflows have, the more the per-execution model pulls ahead, and the more the per-task and per-operation models cost you. This is the single most important fact in the comparison, and it is why a team should map its typical workflow shape before it picks.
Three-way feature split
| Dimension | Zapier | Make | n8n |
|---|---|---|---|
| Billing meter | Per task (one action) | Per operation (one module run) | Per execution (one full workflow run) |
| Setup speed | Quick, heavily guided | Visual builder, moderate | Steeper, developer-leaning |
| Visual depth | Linear, simple | Deep branching and routing | Node graph, branching |
| Self-host option | No | No | Yes, Community Edition |
| Code control | Limited code steps | Custom functions on higher tiers | Full code nodes, JavaScript |
| App connector library | Largest | Large | Large, plus custom HTTP |
| License | Proprietary SaaS | Proprietary SaaS | Fair-code (Sustainable Use License) |
| Best for | Quickest path to a working automation | Complex visual workflows at lower cost | Self-host, control, predictable cost |
What a real workflow looks like on each
Picture the workflow most teams actually build first: a webhook fires when a form is submitted, the data gets enriched, and a row lands in a CRM or sheet. Here is the shape of that on each platform, so you can see where the step count, and therefore the meter, comes from.
The inbound trigger is the same idea everywhere. A form or app POSTs JSON to a webhook URL, and the platform hands your workflow a payload like this:
{
"event": "form.submitted",
"lead": {
"email": "sam@acme.io",
"company": "Acme",
"plan_interest": "Pro"
},
"submitted_at": "2026-05-24T14:02:00Z"
}On Zapier you wire that as a multi-step Zap: Webhook trigger, then a Formatter step, then an enrichment action, then a Create Record action. Four actions fire per submission, so a thousand leads a month is roughly 4,000 tasks against your plan.
On Make you build the same flow on the canvas as four modules, branching with a router if the plan interest decides the path. Four module runs per submission means roughly 4,000 operations, but the entry tiers bundle 10,000 of them, so the headroom is wider per dollar.
On n8n the whole thing is one workflow with a Webhook node up front and an HTTP Request node for the outbound enrichment call. A self-hosted instance reaches the same API like this:
{
"node": "HTTP Request",
"method": "POST",
"url": "https://api.enrichment-provider.example/v1/lookup",
"sendBody": true,
"bodyParameters": {
"email": "={{ $json.lead.email }}",
"company": "={{ $json.lead.company }}"
}
}That four-step flow run a thousand times is 1,000 executions on n8n, against 4,000 metered units on the other two. Same work, a quarter of the meter. That gap is the whole argument for the per-execution model once your workflows have several steps.
Zapier: the quickest path to a working automation
Zapier is the default for a reason that has nothing to do with price. It is the quickest way to get from "I want X to trigger Y" to a running automation, with the largest app library of the three and the most guided builder. For a non-technical team that values setup speed and breadth of integrations over cost efficiency, that lead is real.
The cost is the per-task meter. Zapier's Starter plan runs $19.99/month for 750 tasks and the Professional plan runs $49/month for 2,000 tasks when billed annually, per Zapier's pricing page. Because every action in a multi-step workflow burns a task, a few busy multi-step automations climb the tiers faster than teams expect.
Where Zapier stops being the right answer: once your workflows get complex and high-volume, the per-task meter makes it the most expensive of the three for the same work. And there is no self-host path, so a team with data-residency or cost-control requirements cannot bring it in-house.
Make: visual depth, and a meter that rewards complexity
Make is the pick when your workflows have real branching and you want to see them as a visual map rather than a linear list. The canvas handles routers, filters, iterators, and aggregators that would be awkward elsewhere, and the per-operation pricing tends to undercut Zapier at volume because the entry tiers bundle far more metered units per dollar.
Make runs a free tier with 1,000 operations, a Core plan at $12/month, a Pro plan at $21/month, and a Teams plan at $38/month, each starting at 10,000 operations, per Make's pricing page. For a team running visually complex automations, that operations-per-dollar ratio is the headline advantage over Zapier.
Where Make stops being the right answer: the visual depth has a learning curve, so a team that just wants three simple Zaps live by Friday will move faster on Zapier. And like Zapier, there is no self-host option, so the control and data-residency story belongs to n8n.
n8n: self-host, code control, and the predictable meter
n8n is the pick for teams that want to own their automation layer. It self-hosts, exposes full code nodes for custom logic, and bills cloud usage per execution rather than per step, which makes cost predictable as workflows grow more complex. For a developer-leaning team or one with data-residency constraints, that combination is the whole reason to choose it.
n8n Cloud starts at $24/month for the Starter tier with 2,500 executions and $60/month for the Pro tier with 10,000 executions, while the self-hosted Community Edition is free software you run on your own server, per n8n's pricing page. The Community Edition is fair-code under the Sustainable Use License: you can self-host it for free, with the main restriction being that you cannot resell n8n itself as a competing platform.
Where n8n stops being the right answer: it asks more of you. Self-hosting means running and patching a server, and the builder leans developer rather than guided. A non-technical team chasing setup speed will be happier on Zapier, and a team that wants visual depth without owning infrastructure will be happier on Make. For the self-host-versus-cloud math specifically, see our n8n self-hosted vs Cloud breakdown.
Decision matrix: who picks which
| If you are | Pick | Because |
|---|---|---|
| A non-technical team that wants automations live fast | Zapier | Quick guided setup, broad app library |
| Running complex, branching workflows at volume | Make | Visual depth plus operations pricing that beats Zapier at scale |
| A developer-leaning team or one needing data residency | n8n | Self-host, full code nodes, predictable per-execution cost |
| Cost-sensitive with multi-step workflows | Make or n8n | Per-operation and per-execution meters beat per-task at complexity |
| Wanting zero infrastructure and maximum connectors | Zapier | No server to run, the widest integration catalog |
The shortcut: count the steps in your typical workflow and estimate monthly runs before you compare sticker prices. A five-step automation run a thousand times tells you more about your real bill than any pricing table.
Three concrete situations
If you run a two-person agency and want lead forms routing to your CRM and Slack by Friday, with no one to maintain a server: pick Zapier. Two or three short Zaps stay well inside the Starter tier, and the guided builder gets them live in an afternoon.
If you run marketing ops with multi-branch workflows that fan one trigger out to enrichment, scoring, CRM, and a notification, all at a few thousand runs a month: pick Make. The router handles the branching cleanly on the canvas, and the operation-bundled entry tiers absorb the step count rather than climbing Zapier's per-task ladder.
If you have a developer, a data-residency requirement, or workflows with ten-plus steps each: pick n8n. The Community Edition self-hosts for free, the code nodes cover logic the no-code builders cannot, and the per-execution meter keeps cost flat as you add steps. The trade is that someone owns the server.
FAQ
Is Make cheaper than Zapier? For complex, multi-step workflows at volume, Make's per-operation model generally costs less than Zapier's per-task model, because the entry tiers bundle far more metered units per dollar. For a handful of simple automations, the gap narrows and Zapier's faster setup can be worth more than the savings.
Can I self-host any of these? Only n8n. Its Community Edition is free, fair-code software you run on your own server under the Sustainable Use License. Make and Zapier are cloud-only SaaS with no self-host path.
What is the difference between a task, an operation, and an execution? A Zapier task is one action your automation takes. A Make operation is one module execution. An n8n execution is one full run of an entire workflow, regardless of step count. The more steps your workflows have, the more the per-execution meter saves you.
Which is best for a non-technical team? Zapier, in most cases. It has the most guided builder and the largest app library, so a non-technical team reaches a working automation quickly, accepting that the per-task meter costs more as volume grows.
Is n8n really free? The self-hosted Community Edition is free software; you pay only for the server it runs on. n8n Cloud is paid and starts at a monthly tier. The free path trades money for the work of running and maintaining your own instance.
The call, and when it flips
Default to Zapier if speed and connector breadth matter more than cost, and no one on the team wants to run a server. It is the quickest path to a working automation and the safest pick for a non-technical team.
The call flips to Make when your workflows have real branching and you run them at volume. The visual canvas handles the complexity, and the per-operation meter pulls ahead of Zapier's per-task billing exactly when workflows get complicated.
The call flips to n8n when you want to own the automation layer, need data residency, or have a developer who will use the code nodes. Self-hosting trades convenience for control and a predictable per-execution bill that does not balloon as workflows grow.
For adjacent picks, see our workflow automation tools directory and our Make vs n8n two-way comparison for the head-to-head on those two alone.
This article contains affiliate links. If you sign up for Make through a link here, Pondero may earn a commission at no extra cost to you, which does not change our recommendation.
Sources: Make plans and pricing (make.com/en/pricing); n8n plans and pricing (n8n.io/pricing) and Webhook plus HTTP Request node docs (docs.n8n.io); Zapier plans and pricing (zapier.com/pricing). Pricing is point-in-time as of 2026-05-24 and assumes annual billing where noted; confirm current tiers and task, operation, and execution definitions on each vendor's page before purchase. The JSON examples are illustrative payload and node shapes, not copied vendor config.