n8n vs Zapier vs Make for AI Automation in 2026
Key Takeaways
- The real difference between n8n, Zapier and Make is the billing unit: n8n counts a whole workflow run, Zapier counts each successful action step, and Make counts each module that runs.
- Zapier is the easiest start and has the broadest app catalogue; Make is the visual middle ground for branching workflows; n8n is the most powerful and the only one you can self-host free.
- Free tiers are consistent across October 2026 comparisons: Zapier 100 tasks a month, Make 1,000 credits a month, n8n Community Edition free to self-host with no execution quota from n8n.
- Paid prices change often and differ by region, so this guide gives billing units and widely reported October 2026 entry figures only as a starting point — check the live vendor pricing page before you pay.
- Pick by your workflow shape, not by the headline price: deep multi-step workflows punish per-step billing, while simple trigger-action rules barely notice it.
If you are choosing an automation tool in 2026, the headline price is the least useful number on the page. What decides your bill is what the tool counts. n8n, Zapier and Make count different things, and the same workflow can cost wildly different amounts on each. Understand the unit first, and the rest of the comparison falls into place.
The billing unit is the whole story
| Tool | Billing unit | What counts as one | Free tier |
|---|---|---|---|
| Zapier | Task | Each successful action step in a Zap; triggers, filters, paths and formatter steps do not count | 100 tasks a month, two-step Zaps |
| Make | Credit | Each module that runs in a scenario; routers and error handlers generally do not count | 1,000 credits a month, two active scenarios |
| n8n | Execution | One complete workflow run, however many nodes it contains | Community Edition, free to self-host, no execution quota from n8n |
Work through one example. A workflow with eight action steps that runs 1,000 times a month uses 8,000 tasks on Zapier and roughly 8,000 credits on Make, but only 1,000 executions on n8n. That single difference explains most of the price arguments you will read about these tools. It also explains why per-step billing barely matters for a two-step Zap and matters enormously for a deep, branching workflow.
AI steps complicate the picture further. On Zapier, AI steps and MCP tool calls draw from the same task pool, with some AI steps costing multiples of a single task depending on the step type. On Make, AI modules can cost more than one credit. On n8n, an AI step inside a workflow does not add executions, though you still pay the model provider for the tokens the AI step uses. Budget the model cost separately from the automation cost, on all three tools.
What each tool is actually good at
Zapier: the easiest start, the broadest catalogue
Zapier is a trigger-action builder: when this happens, do that. Its strength is breadth and onboarding. If your workflow is “when a form is submitted, add a row to a sheet and send a Slack message”, Zapier will have you running in minutes, and its catalogue covers apps the other two may not. Its weakness is depth and cost at scale. Branching logic exists, but complex multi-path workflows are harder to see and debug than in a visual canvas, and per-step billing punishes every extra action.
Zapier also offers MCP access, so AI assistants can act across its app catalogue, and AI agent features on paid plans. If your goal is to let a chat assistant act across many SaaS apps with no build work, Zapier’s breadth is a genuine advantage, but each MCP tool call consumes tasks, so agent use can burn through a task allowance fast.
Make: the visual middle ground
Make (formerly Integromat) shows your workflow as a canvas of modules wired together, with routers, iterators and data transformers visible where you can see them. It is more capable than Zapier per unit of effort for complex branching flows, and less intimidating than n8n for non-developers. Its credit model sits between the other two: cheaper than per-task billing for many workflows, more expensive than per-execution billing for very deep ones.
Make’s free tier is the most generous of the three for learning: 1,000 credits a month, though limited to two active scenarios and a 15-minute minimum schedule interval, which matters if you need something to happen the moment an order arrives rather than within a quarter of an hour. Make also offers an MCP server and AI agent features, though agent capabilities were still in beta in the comparisons reviewed for this article.
n8n: the powerful option, and the only self-hosted one
n8n is a node-based builder that welcomes code inside workflows, supports AI agents natively, and can act as both an MCP client and an MCP server. Its decisive advantage is self-hosting: the Community Edition is free under a fair-code Sustainable Use Licence, with no execution quota from n8n — you pay only for your own server, and you maintain it yourself. That licence allows your own internal business use but not reselling n8n as a service to others.
n8n Cloud, by contrast, is paid and has no permanent free tier, only trials. Its per-execution billing means cost stays flat as workflows get deeper, which is why technical teams with complex workflows tend to land here. The trade-off is operational: you either pay for cloud convenience or you run, update, back up and secure the server yourself.
Decision guide: pick by workflow shape
| Your situation | Best starting pick | Why |
|---|---|---|
| Simple trigger-action rules, many different apps, no technical team | Zapier | Fastest setup, broadest catalogue, per-step cost stays low on short Zaps |
| Branching, multi-step scenarios, visual debugging, moderate volume | Make | Canvas layout, routers and iterators, generous free tier for learning |
| Deep workflows, AI agents, MCP servers, or high volume | n8n | Per-execution billing, code nodes, self-hosting option |
| You must keep data on your own infrastructure | n8n self-hosted | Only option of the three that runs entirely on your hardware |
| You need something today and will revisit in a month | Zapier or Make free tier | Zero setup cost; migrate only when volume proves the need |
Two traps to avoid. First, do not pick on app count alone. A catalogue of thousands of apps is worthless if the three apps you actually use are covered everywhere. Second, do not pick on the free tier alone. Free tiers are for learning and for light use; the binding constraints are often the scenario count, the schedule interval and the run-time limit, not just the credit or task number.
What about prices? A careful note
Paid prices for these tools change frequently and differ by region and billing period, and even October 2026 comparison guides disagree on some figures — for example, reported Make Core annual pricing varied between guides in the same month. For that reason, this article deliberately does not present paid plan prices as verified on 31 October 2026. As a starting point only, October 2026 guides widely reported Zapier Professional from about $19.99 a month billed annually, n8n Cloud Starter from about €20 (or $20 in US listings) a month billed annually, and Make Core from about $9–$12 a month billed annually, each at their entry allowance. Treat those figures as a prompt to check, not as a quote: open each vendor’s live pricing page, confirm the allowance and the billing period, and only then compare.
The free tiers, by contrast, were consistent across every October 2026 comparison reviewed: Zapier 100 tasks a month, Make 1,000 credits a month, and n8n Community Edition free to self-host. Even those can change, so if a free tier looks different when you sign up, the live page wins over this article.
Troubleshooting: when your chosen tool fights back
- Workflows stop mid-month: check which unit you exhausted. On Zapier, count action steps, not runs. On Make, count modules, not scenarios. On n8n Cloud, count executions, and remember that runs past the limit fail rather than queueing.
- A workflow works in testing but not on a schedule: check the free tier’s schedule interval and run-time limit. A 15-minute minimum interval and a five-minute run ceiling will silently shape what your workflow can do.
- Costs spike after adding AI: AI steps draw from the same pool at multiples on Zapier and Make, and model tokens are billed separately on all three. Log AI steps separately for a month before judging the automation tool’s price.
- An integration is missing: check whether the tool offers a generic webhook or HTTP node. A missing native app is only a blocker if you cannot call the service’s API directly.
For the concepts behind agent tooling in these workflows, see what AI agents are and how they work and how Google opens Gemini and Search to third-party apps. For cost control once you build, see Claude Enterprise’s cost tools for tracking AI spend.
Limitations
This comparison is based on vendor documentation and October 2026 comparison guides, not on hands-on testing of all three tools, and no paid plan was purchased for this article. Prices, allowances and feature availability change, and regional pricing differs, so verify the live pricing page for your region before committing. The decision table is editorial guidance for common shapes of work, not a guarantee that any tool will fit a specific workflow.
