n8n vs Make vs Zapier: how to choose and calculate automation costs
- The short answer: where to start
- What exactly are you charged for?
- One process, three bills: an example with 3,000 requests
- The quiet meter: scheduled runs
- What the entry plans include
- AI scenarios: keep the platform and model costs separate
- Self-hosting n8n: freedom with responsibility
- When a visual builder no longer solves the problem
- Six questions to ask before paying
- Conclusion
- Frequently asked questions
- Sources
Choosing between n8n, Make, and Zapier often starts with the plan price. But these services count different things: successful actions, module operations, or complete workflow runs. The same scenario can look inexpensive on a pricing page and costly after the first thousand orders. Let’s compare their billing units, then look at your process. The prices and rules below were checked against official pages on September 23, 2026; check them again before purchasing.
The short answer: where to start
Zapier is convenient for a quick start with common integrations when the team wants fewer settings. Make offers a visual builder for branching scenarios and more detailed control over data flow. n8n is worth evaluating when you need more technical scenarios, self-hosting, or control over execution. These are starting points for evaluation, not a ranking of what is best for everyone. App support, security requirements, and the cost of maintaining the system can change the choice.
If the task is just to connect a form to a CRM, you do not need to start by designing a spaceship. But if the process has dozens of exceptions and a financially important outcome, do not choose a tool only because you can build the first screen in an evening.
What exactly are you charged for?
| Platform | Main unit | What to check in your scenario |
|---|---|---|
| Zapier | Tasks: mostly successful actions | How many action steps run for each event; some actions may have different rules. |
| Make | Credits: depend on modules and operations | Trigger, number of bundles, branches, AI modules, and empty source polls. |
| n8n Cloud | Executions: complete workflow runs | How often the process runs, including scheduled runs. |
According to Zapier’s help centre, triggers and filters generally do not use tasks; a successful action does. In Make, a standard module operation often costs one credit, but rules depend on the feature: one module may process many bundles, while AI features have separate rules. n8n Cloud counts a complete workflow run regardless of its number of steps. These are different denominators, so “10,000 credits” and “10,000 tasks” cannot be compared directly.
One process, three bills: an example with 3,000 requests
Consider a hypothetical webhook scenario: 3,000 individual requests a month; each creates one record and goes through four successful actions — validation, a CRM update, a manager notification, and a spreadsheet entry. Assume one bundle at each step, with no retries, branches, or extra AI calls.
| Platform | Illustrative calculation | Result |
|---|---|---|
| Zapier | 3,000 requests × 4 successful actions | 12,000 tasks |
| Make | 3,000 requests × 5 one-credit operations, including the trigger | 15,000 credits |
| n8n Cloud | 3,000 requests × 1 workflow run | 3,000 executions |
This is a unit calculation, not a price comparison. Check the suitable plan, overages, and rules for individual modules in each platform’s current calculator. The numbers change if Make creates several bundles per request, Zapier uses an action with a different task rate, or n8n runs the workflow again. Map the actual data path before multiplying.

The quiet meter: scheduled runs
A webhook starts a process when an event occurs. Polling repeatedly asks, “Is there anything new?” If it runs every five minutes, a 30-day month produces 12 × 24 × 30 = 8,640 checks, even when there are no requests. In n8n Cloud, each scheduled start counts as an execution. In Make, a polling trigger may use a credit even when no new data is returned; operations on records it does find are then added. Under Zapier’s rules, the polling check itself does not use a task, while successful actions after a matching event do.
This does not mean “always choose Zapier.” If the source supports webhooks, compare that option with polling. Check the required response speed, acceptable delays, and connector rules. A five-minute poll of an empty spreadsheet is an invisible but very disciplined employee on your bill.
What the entry plans include
On the date checked, Zapier listed a Free plan with 100 tasks per month and Professional from $19.99 a month; the Professional limit depends on the selected task tier and billing terms. Do not put the old “750 tasks” figure in a budget without current confirmation. Make listed Free with 1,000 credits and a minimum 15-minute interval, and Core with 10,000 credits a month; check its price for your selected billing period on the pricing page. n8n Cloud listed Starter at €20 a month when billed annually with 2,500 executions, and Pro at €50 a month when billed annually with 10,000 executions.
Prices here are not converted into one currency, and taxes, overages, and the chosen plan are not included in a single total. For our 3,000-request example, n8n Cloud Starter’s 2,500 executions would not be enough under the stated assumptions. That does not tell us whether Pro is cheaper or more expensive than the other services. Compare the full price of the tiers you need on the date you decide.
AI scenarios: keep the platform and model costs separate
For an AI workflow, count the automation platform, model calls, data storage, and human review separately. The n8n “AI credits” on its pricing page refer to the AI Assistant for building workflows, not a general budget for production model calls. Make AI Provider and an external provider connection may follow different rules: do not combine platform credits and provider tokens into one opaque line item. Zapier describes task usage for AI, code, and SDK steps under its own rules.
Ask for a test with ten typical and five difficult requests. Record runs, retries, tokens, errors, and manual reviews. Only then can you estimate the cost of an “AI agent” instead of buying a polished name for an expensive chain of actions. If you first need to understand how an agent differs from a bot and an assistant, read our comparison of the three approaches.
Self-hosting n8n: freedom with responsibility
n8n Community Edition can be self-hosted without an n8n subscription for permitted internal use cases. However, it is governed by the Sustainable Use License, which limits use; it is not an unrestricted right to resell or white-label the service. If you are building a product for customers or giving them access to hosted n8n, check the license terms for your specific business model.
Self-hosting does not mean zero cost either: someone must manage the server, backups, updates, monitoring, access, and recovery after an outage. It may make sense for an internal team; for a company without a technical owner, it is extra work. Include support hours and outage risk in your budget, not just the hosting invoice.
When a visual builder no longer solves the problem
If the scenario has unusual business logic, strict speed requirements, or high data volume, compare a builder with a dedicated service or custom code. But “code becomes cheaper after N operations” is not a law of nature. A custom service also needs design, tests, queues, observability, security, and support. Prepare two estimates for the same requirements and time horizon.
For a first step, see our guide to automation with n8n. If you are still listing processes, start with the fundamentals of business process automation. No published BotLabs story on its own proves that a client project used n8n, Make, or Zapier specifically.
Six questions to ask before paying
- What starts the process — a webhook, a schedule, or a manual action?
- How many events, successful actions, bundles, and complete runs will there be in an ordinary and peak month?
- Which connectors, fields, API limits, and access permissions are actually needed?
- Are there AI calls, and who pays for the model separately from the platform?
- Who will fix errors, store the data, and restore the process after a failure?
- What is the full 12-month cost of the required tier, overages, and support?
Run a small test on real, anonymised data and record the actual counters in each platform. If two tools produce the same result after the test, choose based on support, security, and what the team can maintain six months from now.
Conclusion
Zapier, Make, and n8n do not share one “automation credit.” Translate your process into each platform’s own units, add AI, support, and license terms, then compare the full bill. A good choice is one that passes your test, meets your requirements, and does not turn every new CRM field into a small heroic quest.
Frequently asked questions
There is no universal answer. Compare your runs, successful actions, module operations, selected plan tiers, and support costs. The example with 3,000 requests illustrates billing units, not price.
Under the current rules, the polling check itself does not use a task; a task is usually used for a successful action after an event. Check Zapier’s current rules for the specific connector and action.
A polling trigger runs on a schedule and may use a credit even when it returns no new data. Additional operations and bundles follow the rules of their respective modules.
Community Edition may not require an n8n subscription for permitted internal use cases. You still pay for infrastructure and operations, and must follow the Sustainable Use License.
No. The AI credits on the pricing page apply to the AI Assistant for building workflows. Estimate production model costs separately based on the provider and connection method you choose.
Sources
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