Zapier, Make, and n8n can all automate the same basic job: move information between apps without asking a person to repeat the work. That similarity disappears quickly once a workflow has branches, several actions, AI steps, or enough volume for usage-based pricing to matter.
For a small team, the useful question is not which automation platform has the longest feature list. It is which one matches the way your team builds workflows, troubleshoots them, and pays for them.
This comparison looks at Zapier, Make, and n8n from that angle. Pricing and plan details were checked against the vendors’ official pages in September 2026. They can change, so treat the figures below as a snapshot rather than a permanent price sheet.
The biggest difference is how each platform thinks about automation
Zapier is the most straightforward of the three. Its editor is built around Zaps: a trigger followed by one or more actions. The platform has expanded well beyond simple app-to-app connections, with Tables, Forms, webhooks, conditional logic, AI features, and other tools now sitting inside the same ecosystem. But the basic mental model remains approachable for people who do not want automation to become a technical project.
Make is more visual. A scenario is displayed as a map of modules, routes, filters, and data moving between them. That layout can make a complicated workflow easier to inspect because you can see its shape. It also introduces more concepts up front. Someone building a simple “new form response → add row → send message” workflow may find Zapier quicker; someone designing several branches may appreciate Make’s canvas much sooner.
n8n sits closer to the technical end of the spectrum. Its node-based editor is visual, but the product gives builders more room to work with APIs, code, custom logic, and self-hosting. That flexibility is meaningful when a team has technical capability. It can be unnecessary overhead when the person responsible for automation mainly wants reliable connections between common SaaS tools.
Pricing looks comparable until you examine what gets counted
The headline prices are not directly comparable because the three products meter usage differently.
| Platform | Entry paid plan* | Usage model |
|---|---|---|
| Zapier | $19.99/month Professional | Tasks |
| Make | $12/month Core at 10,000 credits | Credits |
| n8n Cloud | €20/month Starter | Workflow executions |
Zapier generally counts successful action steps as tasks, although some built-in steps do not consume tasks. Its Professional plan currently starts at $19.99 per month when billed annually and includes 750 tasks at the starting tier. That makes the number of actions in a frequently running workflow important to cost.
Make uses credits. For standard scenarios, each module action typically consumes a credit. Its Core plan is currently listed at $12 per month for 10,000 credits on the monthly option. A scenario that passes through many modules can therefore consume several credits during one run.
n8n Cloud takes a different approach: its hosted plans are priced around workflow executions rather than charging for every step inside a workflow. Starter is currently €20 per month when billed annually for 2,500 workflow executions, with unlimited steps. For long, multi-step workflows, that distinction can materially change the economics.
This is why “which is cheapest?” has no stable answer without a workflow. A two-action automation that runs thousands of times and a 20-step workflow that runs 100 times create very different billing patterns.
Zapier favors speed and a low learning curve
Zapier makes the strongest case when automation is owned by people whose primary job is not automation. A marketing manager, recruiter, operations lead, or founder can usually understand the trigger-and-action structure without first learning a new visual language.
That accessibility matters more than it sounds. An automation that only one technically confident employee understands can become fragile organizational infrastructure. When several colleagues need to create or maintain relatively conventional SaaS workflows, a simpler builder can be worth paying for.
The trade-off becomes more visible as workflows get busy. Because successful actions consume tasks, a workflow with multiple downstream actions can use the monthly allowance faster than its number of trigger events suggests. Zapier also changed AI-step pricing in 2026: AI by Zapier model tiers can consume different task multiples, which makes AI-heavy workflows worth estimating separately before rollout.
For teams still deciding which apps deserve a place in their workflow at all, our guide to building an AI productivity stack without tool overload is a useful step before automating connections between them.
Make gives visual thinkers more room to design
Make becomes particularly interesting once a workflow stops looking like a straight line. Routers, filters, iterators, and transformations are represented visually, so a builder can inspect how data moves through a scenario rather than reading a long sequence of steps.
That does not automatically make complex automation easy. It makes complexity more visible. There is still a learning curve around mapping fields, bundles, error handling, and understanding how modules consume credits. The payoff is that a moderately sophisticated process can remain legible on one canvas.
For small teams, Make is often most compelling when one or two people are willing to become the internal automation builders. It asks for more familiarity than a basic Zap, but it does not require the same technical comfort that can make n8n attractive.
n8n makes more sense when flexibility is part of the requirement
n8n is not simply a cheaper Zapier alternative. Its appeal is broader control. Teams can combine visual nodes with code, work directly with APIs, and choose between n8n Cloud and self-hosting. That opens possibilities that matter to developers, technical operations teams, and businesses with workflows that do not fit neatly into prebuilt app actions.
The execution-based Cloud pricing is also notable. n8n says its hosted plans count complete workflow executions regardless of the number of steps. A long workflow can therefore have a very different cost profile from an equivalent automation billed primarily by successful actions or module operations.
But control has a maintenance cost. Self-hosting in particular transfers infrastructure responsibilities to your team. Even on n8n Cloud, a nontechnical colleague may find a workflow full of API requests, expressions, and code nodes less approachable than a conventional Zap. A platform is not inexpensive if every small change has to wait for the one person who understands it.
Choose from the workflow backward, not from the feature list
A small team can narrow the decision quickly by writing down one real automation before opening any pricing calculator. Note how often it runs, how many actions or modules it needs, whether it branches, who will maintain it, and whether custom API work is likely.
- Start with Zapier when ease of adoption and broad SaaS automation matter more than maximizing technical control.
- Start with Make when workflows need visible branching and transformation, and someone on the team is comfortable learning a more detailed builder.
- Start with n8n when API flexibility, code, long multi-step workflows, or self-hosting are meaningful requirements rather than hypothetical future needs.
Then build the same representative workflow in the free tier or trial of the candidates that remain. Do not judge only by whether the workflow runs. Check whether another teammate can understand it, how failures are diagnosed, and what the workflow would consume at your expected monthly volume.
Automation also works better when the surrounding workflow is already sensible. If meetings are a major source of follow-up work, our comparison of AI meeting assistants for small teams can help identify where captured notes and action items could feed into an automation platform.
A practical way to decide
For straightforward business automation, Zapier’s simplicity is a genuine advantage. For people who think in flowcharts and need more branching, Make offers a useful middle ground. For technical teams that want deeper control over logic, APIs, deployment, and long workflows, n8n deserves a separate look rather than being treated as just another no-code connector.
The important part is to compare the tools using your own workflow shape. Three platforms can automate the same outcome while charging for very different units and demanding very different levels of maintenance. That difference is more consequential than a generic list of integrations.
Official pricing references
Current plan details: Zapier pricing, Make pricing, and n8n pricing. Check these pages before purchasing because pricing, allowances, and plan features can change.
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