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The JournalNov 4, 2026
Operations

n8n vs Zapier vs Make: Which Automation Platform to Use

Zapier, Make or n8n? We priced the same 3 workflows on all three and compared AI features, self-hosting and ease of use, with the best fit for each team.

n8n vs Zapier vs Make: Which Automation Platform to Use
Author
Grovant Editorial · Practice Leadership
Published
Nov 4, 2026
Reading time
10 min read

Zapier, Make and n8n all connect your apps and automate work between them, but they suit different teams and charge in very different ways.

  • Zapier is best for non-technical teams that want the biggest app library (9,000+) and the fastest setup. It costs the most once volume grows.
  • Make is best for visual builders on a budget. It has the lowest price per step, but polling triggers use credits even when nothing new arrives.
  • n8n is best for technical teams that want flat pricing per workflow run, self-hosting and AI agents. It asks the most skill to set up.

In our cost test, the same three everyday workflows running 1,000 times each a month cost $129 a month on Zapier, $16 on Make and $50 on n8n Cloud (annual billing), or only server costs on self-hosted n8n.

n8n vs Zapier vs Make at a glance

FeatureZapierMaken8n
Best forNon-technical teams, widest app choiceVisual builders who want a low cost per stepTechnical teams that want self-hosting, code and AI agents
What you pay forTasks: each successful action. Triggers, filters and formatters are freeCredits: each module run, including polling checks that find nothingExecutions: one full workflow run, however many steps
Free option100 tasks a month, two-step Zaps only1,000 credits a month, 2 active scenariosSelf-hosted Community Edition (you run the server)
Cheapest paid plan$19.99/mo for 750 tasks$9/mo for 10,000 credits$20/mo for 2,500 executions
Price at 10,000 units a month$129/mo (10K tasks)$9/mo (10K credits)$50/mo (10K executions)
Apps and integrations9,000+ apps3,500+ apps500+ native integrations, plus HTTP and community nodes
AI featuresAI steps, Zapier Agents (own quota), MCP, CopilotAI Agents (beta), AI Toolkit, Maia assistant, MCP serverAI Agent node built on LangChain, MCP, AI Assistant
Self-hostingNoNoYes
Learning curve (our view)EasiestModerateSteepest
n8n vs Zapier vs Make compared, prices billed annually on 2 November 2026

Prices in USD, billed annually, from each vendor's pricing page on 2 November 2026. Monthly billing costs more. A task, a credit and an execution are not the same size, so compare the cost of real workflows, as we do below, not the headline unit price.

How we compared them

Headline prices do not tell you much, because each tool counts usage differently. So we took three everyday workflows that each platform already publishes as a free template, and worked out what one run of each costs on all three.

  1. Lead form to Google Sheets to Slack alert: Zapier template, Make template, n8n template
  2. New Gmail email to AI summary to Slack: Zapier template, Make template, n8n template
  3. Stripe payment to Google Sheets to email receipt: Zapier template, Make template plus a Gmail step, n8n template

The templates differ in small ways (one Make template adds an email-validation step, some n8n templates add extra branches). To keep the test fair, we trimmed every version to the same core: one trigger and two actions, with the AI step in workflow 2 using your own OpenAI key. Then we applied each vendor's published billing rules and priced the result at two volumes.

Cost test: the same 3 workflows on each tool

What one run costs

WorkflowZapierMaken8n
1. Lead form to Sheets to Slack2 tasks3 credits1 execution
2. Gmail to AI summary to Slack2 tasks3 credits, plus polling checks1 execution
3. Stripe payment to Sheets to email2 tasks3 credits1 execution
Billing units used by one run of each workflow

Why the numbers differ:

  • Zapier charges only for actions that succeed. The trigger is free, and so are Filter, Formatter and Paths steps.
  • Make charges a credit for every module that runs, the trigger included. A polling trigger, such as Watch Emails in Gmail, also uses 1 credit every time it checks, even when there is no new email. Checking every 15 minutes adds about 2,880 credits a month for that one scenario.
  • n8n charges one execution per workflow run, whether it has 3 steps or 30. Test runs and sub-workflows do not count extra.

The OpenAI usage in workflow 2 is billed by OpenAI on all three, because each template uses your own API key.

What a month costs

Monthly volumeZapierMaken8n Cloudn8n self-hosted
1,000 runs of each workflow (3,000 runs)$129/mo: 6,000 tasks on Professional$16/mo: 11,880 credits on Core$50/mo: 3,000 executions on Pro$0 licence, plus your server
10,000 runs of each workflow (30,000 runs)$489/mo: 60,000 tasks on Professional$99/mo: 92,880 credits on Core$120/mo: 30,000 executions on Pro$0 licence, plus your server
Monthly cost of the same 3 workflows, billed annually

Annual billing, USD, from each pricing page on 2 November 2026. On monthly billing the same workloads cost $193.50, $18.82 and $60 at the smaller volume, and $733.50, $116.47 and $144 at the larger one. Make assumes Gmail is checked every 15 minutes.

Bar chart: monthly cost of the same 3 workflows. At 3,000 runs a month, Zapier $129, Make $16, n8n Cloud $50. At 30,000 runs, Zapier $489, Make $99, n8n Cloud $120.
What the same 3 workflows cost per month on each tool

What this means

  • For short, simple workflows, Make is the cheapest by a wide margin, as long as you keep an eye on polling triggers.
  • n8n gets relatively cheaper as workflows get longer, because a 10-step run costs the same as a 3-step run. Make and Zapier charge for every extra step.
  • Zapier costs about 5 to 8 times more than Make for the same work here. You pay for the bigger app library and the easiest builder.
  • Overages work differently: Zapier keeps running and bills extra tasks at a higher rate, Make stops scenarios when credits run out unless you buy more (at 25% extra), and n8n lists overage fees as capped.

Zapier vs Make vs n8n, one by one

Zapier: best for non-technical teams

Zapier is the easiest of the three. You build a Zap step by step in plain forms, and it connects to 9,000+ apps, so the tool you need is almost always there.

  • Price: free for 100 tasks a month (two-step Zaps only). Professional from $19.99/mo billed annually for 750 tasks, rising to $129/mo for 10,000 tasks. Team from $69/mo for 25 users.
  • Good: the biggest app library, the gentlest learning curve, and free logic steps (Filter, Formatter, Paths, Delay).
  • Watch out: cost climbs fast with volume, and there is no self-hosted option. Going over your limit switches you to pay-per-task billing at a higher rate.

Make: best for visual builders on a budget

Make shows each scenario as a visual map of modules, with routers, iterators and error handlers. It suits people who think in flowcharts and want more control than Zapier gives, without writing code.

  • Price: free for 1,000 credits a month and 2 active scenarios. Core from $9/mo billed annually for 10,000 credits; Pro from $16/mo; Teams from $29/mo.
  • Good: the lowest cost per step in our test, 3,500+ apps, and strong tools for branching and handling data.
  • Watch out: every module run uses a credit, polling triggers use credits even when nothing is found, and scenarios stop when credits run out unless you buy more at a 25% premium.

n8n: best for technical teams and self-hosting

n8n is the most flexible of the three. You can add JavaScript or Python in Code nodes, call any API, build AI agents, and run it on your own server.

  • Price: Cloud Starter from $20/mo billed annually for 2,500 executions; Pro from $50/mo for 10,000. The self-hosted Community Edition has no licence fee; you pay for the server and the time to run it. The self-hosted Business plan, with SSO and Git version control, starts at $800/mo billed annually (€667 in euro pricing).
  • Good: one execution per run however many steps, unlimited users and workflows on every plan, self-hosting, and the deepest AI agent tools.
  • Watch out: the steepest learning curve, 500+ native integrations (fewer than the others, though the HTTP node covers most APIs), and self-hosting means you own updates, security and backups.

AI features and agents compared

All three now sell themselves on AI, but they charge for it in different ways.

FeatureZapierMaken8n
AI steps in workflowsAI by Zapier: 1 to 5 tasks per step, by model tierAI modules: 1 credit, plus token credits if you use Make's AI providerAI nodes using your own model keys
AI agentsZapier Agents, billed as separate activities (400 a month free; Pro $33.33/mo)Make AI Agents (beta): 1 credit per run, plus tokens and tool callsAI Agent node built on LangChain, with memory, tools and vector stores
Build with AICopilot (beta)Maia assistant (beta)AI Assistant, with monthly credits on Cloud
MCPMCP server, 2 tasks per tool callMCP server includedMCP nodes on every plan
AI features in Zapier, Make and n8n

Our read:

  • For a quick AI step inside an existing workflow, such as summarising an email or tagging a lead, all three work. Zapier is simplest to add; Make and n8n are cheaper per run.
  • For real AI agents that call tools, remember context and handle multi-step reasoning, n8n gives the most control, because each agent run is still one execution and you can self-host the whole stack.
  • Watch AI costs on Zapier and Make. Advanced models cost 3 to 5 tasks per step on Zapier, and token credits on Make's own AI provider add up quickly.

Self-hosting, data control and the n8n licence

If your data must stay on your own servers, the choice is simple: n8n is the only one of the three you can self-host. Zapier and Make run only in their own cloud. Make's Enterprise plan includes an on-prem agent, but that only connects Make to systems on your network; Make itself still runs in Make's cloud.

One point many comparisons get wrong: n8n is not open source in the strict sense. It uses its own Sustainable Use License, which n8n calls fair-code. You can see and change the code, and you can use it free for your own internal business, but:

  • You can use it to run your company's workflows, build workflows for clients on your own instance, and use it behind the scenes in your product.
  • You cannot host n8n as a service for others, let outside users build their own workflows on it, white-label it, or sell a competing product based on it.
  • Features such as SSO, environments and Git version control need a paid licence, even when self-hosted.

Self-hosting is free in licence fees, not in effort. Someone has to install n8n, keep it updated, secure it and back it up. For a small team without a developer, n8n Cloud or another tool is usually the cheaper choice once you count that time.

How to choose: a quick checklist

Answer these in order. The first clear yes usually decides it.

  1. Must your data stay on your own servers? Choose n8n, self-hosted.
  2. Will non-technical staff build and change workflows themselves? Choose Zapier.
  3. Is a key app missing from Make or n8n? Check each app directory first; Zapier has the widest coverage.
  4. Are your workflows long, with many steps per run? n8n's per-run pricing will usually win.
  5. Are your workflows short and high-volume, with a tight budget? Make is usually cheapest.
  6. Do you want AI agents that use tools and memory? n8n gives the most control; Zapier and Make are fine for simple AI steps.
  7. Do you have a developer who can maintain it? If not, avoid self-hosting and pick a cloud plan.
If you areStart withWhy
A small business with no developerZapier or MakeFast setup, no servers
An ops team automating on a budgetMakeLowest cost per step
A tech team building AI agentsn8nCode, agents, flat cost per run
A company with strict data rulesn8n self-hostedData stays on your servers
An agency running client workflowsn8n or MakeLower cost at volume
Which automation tool to start with

Not sure what to automate first? Our list of business process automation examples covers the workflows most teams start with.

Where Grovant fits

The tool matters less than the workflow design. A clean process on Make beats a messy one on n8n, and most automation costs come from rework, not licences.

Our AI automation team maps the process first, then picks the tool that fits your team, budget and data rules, whether that is Zapier, Make or n8n. Our default is self-hosted n8n, built as code in a repo you own, but we also build on Make and Zapier when your team already uses them. We build, test and document every workflow, and you keep the accounts, keys and workflows. If you already know how to automate a business process but lack the time, we can take it from there.

We work month to month, on a custom quote.

Sources

Vendor pages, checked 2 November 2026:

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Grovant Editorial · Practice Leadership
Filed in Operations · 10 min read
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Article FAQ

Frequently asked questions.

Quick answers to what readers ask about this topic.

  • The self-hosted Community Edition has no licence fee for internal business use, but you pay for the server and the time to run it, and features such as SSO and Git version control need a paid plan. n8n Cloud has no free plan; it starts at $20 a month billed annually for 2,500 executions. n8n uses a fair-code licence, not a standard open-source one.

  • Yes. Zapier Agents can work across your apps, with 400 activities a month free and a Pro plan from $33.33 a month billed annually, priced separately from your Zap tasks. For agents that need custom tools, memory and code, n8n offers more control.

  • Usually, yes. In our test the same three workflows cost $16 a month on Make and $129 on Zapier at 1,000 runs each, billed annually. The gap narrows if your Make scenarios use polling triggers that check often, because each check uses a credit.

  • For technical teams, often. n8n charges per workflow run rather than per step, can be self-hosted and has deeper AI agent tools. Zapier is better for non-technical teams that want the most apps and the easiest builder.

  • Yes, for polling triggers. Make's help center says a trigger uses 1 credit for each check even when it finds no new data. Instant triggers, such as webhooks, only use credits when data arrives.

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