Zapier vs Make vs n8n in 2026: where each one wins on cost and ops

We run six production systems across n8n, Make, Zapier, custom Python and Next.js, and clients pay platform costs on their own accounts, so we earn nothing from steering anyone toward a logo. That leaves Zapier vs Make vs n8n as a pure engineering question, and this is how it looks from inside systems that have been running for a while.

Zapier

The widest connector catalog by a distance, the most polished onboarding, and the best odds that the obscure SaaS tool your business depends on already has a maintained integration. A competent operator ships a simple trigger-action flow in an hour.

The bill arrives later. Pricing is per task, and a busy multi-step workflow eats tasks: a 6-step Zap running 200 times a day is roughly 36,000 tasks a month, which puts you in plans costing hundreds of dollars for logic that is not complicated. Branching, loops and error paths are all possible in Zapier and all fight the tool, so anything with serious conditions turns into Zaps calling Zaps that nobody can debug six months later.

Make

Make (formerly Integromat) sits in the middle on price and handles visual complexity better than either competitor. Routers, iterators, aggregators and error handlers are first-class, so a workflow with several branches stays on one canvas. Operations pricing is meaningfully cheaper than Zapier at moderate volume.

The pain is debugging. Large scenarios become sprawling diagrams, tracing one failed execution through nested routers takes archaeology, and error output from deep inside an iterator can be cryptic. Versioning is weak too. There is no good answer to "what changed in this scenario last Tuesday and who changed it," which is a bad property for something that runs your invoicing.

n8n

You can self-host it, and that one fact changes the economics: a $20 to $40 per month VPS runs unlimited workflows and executions. When a step needs code you write JavaScript or Python in a node instead of contorting a visual builder. Data stays on your server, which matters in some compliance situations.

In exchange you inherit hosting. Updates, backups, queue configuration, webhook exposure, a disk filling up with execution logs at 3 a.m. None of it is hard for someone with engineering discipline and all of it is a liability for a team without one. The connector catalog is smaller than Zapier's, though the HTTP request node covers any API with documentation.

Self-hosting rewards a written update routine more than any other habit. A publishing client of ours runs an n8n plus Dify pipeline that has survived two platform updates without an outage, and the reason is dull: the update cycle was documented, step by step, with the rollback, before the first update ever happened. Most self-hosted n8n instances we are asked to rescue have never been updated at all, because nobody knew what would break, and that neglect surfaces later as an n8n workflow that keeps failing in production for reasons nobody can trace.

Cost at volume

Exact plan prices shift. The shape of the curve does not. Assume workflows averaging five steps:

Monthly runs	Zapier (tasks)	Make (operations)	n8n self-hosted
1,000	$30 to $75	$10 to $20	$25 flat
10,000	$150 to $450	$30 to $100	$25 to $40 flat
100,000	$800 and up	$200 to $500	$40 to $80 flat

Zapier's per-task pricing punishes step count and volume together. Make is a fair middle. n8n is flat, and the crossover where self-hosting wins on pure cost arrives early, often below 10,000 runs a month, before you price in the ops time it demands. The platform line is also only one of the four meters in a monthly automation bill.

Pick by these rules

• Under roughly 2,000 runs a month, simple flows, no technical staff: Zapier. The premium buys reliability you never have to think about.
• Branching logic, moderate volume, a tight budget: Make, with a rule that scenarios get documented and split before they sprawl.
• High volume, custom logic, AI-heavy workflows or data residency: n8n, if someone competent owns the instance. That someone can be a vendor. It cannot be nobody.
• Already deep in one platform and it works: stay. Migration for its own sake is a cost with no customer-visible benefit, and we have talked clients out of it more than once.

Our own bias, stated plainly: we prefer n8n for anything we will operate ourselves, because flat cost and real code beat a prettier canvas. That preference is wrong for a business that will never have anyone technical near the system. For those, Zapier at three times the monthly price is the cheaper option once you count the first weekend somebody spends restoring a VPS from a backup that turns out to be six weeks old.

The platform is rarely why it broke

In the broken systems clients bring us, the platform has almost never been the cause. The workflow failed because an API returned a 500 once and there was no retry. It failed for three weeks because nothing alerted anyone. It failed because the builder left and nobody owned it. All three platforms run reliable automations, and all three will run unreliable ones forever without complaint.

Retries with backoff, dead-letter handling for failed runs, alerts that reach a human, an owner who reads them, and a documented recovery path are most of the production-ready checklist, and they predict whether an automation survives its second year far better than the logo on the canvas does. Pick the tool with the rules above, then spend the saved deliberation on that layer.

We build production automations on all three platforms, fixed price from $3,000 to $15,000, with running costs billed pass-through on your own accounts so you always see what the platform charges. If you are weighing a build or a migration, our build service page covers how we scope it.