Short answer: Zapier is the fastest to set up and the most expensive to scale, Make is the best value for visual multi-step workflows, and n8n is the cheapest and most flexible if you can self-host and read a little JSON. The deciding factor is rarely features. It's how each platform counts what you owe. A ten-step workflow run 1,000 times costs you 10,000 Zapier tasks, roughly 10,000 Make operations, and 1,000 n8n executions.
This guide covers how each platform bills, what each is genuinely good at, where each one breaks, what they cost in 2026, and how to pick without rebuilding everything six months later.
The Three Platforms at a Glance
| Zapier | Make | n8n | |
|---|---|---|---|
| Best for | Non-technical teams who need it working today | Visual builders running complex branching logic | Technical teams who want control and low cost at volume |
| Billing unit | Task (per successful action) | Operation (per module run) | Execution (per complete workflow run) |
| Integrations | 9,000+ apps | ~2,000+ apps | ~500 native nodes, plus a generic HTTP node |
| Interface | Linear step list | Visual canvas with routers | Node graph, code-friendly |
| Self-hosting | No | No | Yes |
| Learning curve | Hours | Days | Weeks |
| Entry price | Free tier, paid from ~$20/mo | Free tier, paid from ~$9–12/mo | Self-host free; cloud from ~$20–24/mo |
The Part Everyone Gets Wrong: How Each One Bills
This is the single most important section in this article. Feature comparisons are mostly noise. All three connect apps, all three do branching, all three handle webhooks. What separates them financially is the unit of measurement.
Zapier counts tasks. Every successful action step is one task. Triggers are free. Built-in tools such as Filter, Paths, Formatter, Delay, Looping, Tables, and Forms do not consume tasks. But every real action does. A six-step Zap that runs once burns five tasks.
Make counts operations (increasingly branded as credits). Every module run is one operation, including the trigger module. That same six-step workflow burns roughly six operations per run.
n8n counts executions. One complete workflow run is one execution, no matter whether it contains three nodes or forty. Sub-workflow runs don't count separately, and failed or test runs no longer count against your limit.
What that means in practice
Take a realistic workflow: a form submission arrives, you enrich the contact, create a CRM record, send a confirmation email, log the row to a sheet, and post a Slack alert.
| Platform | Billable units per run | At 1,000 runs/month | Plan you'd need |
|---|---|---|---|
| Zapier | 5 tasks | 5,000 tasks | A mid-tier Professional task bundle |
| Make | ~6 operations | ~6,000 operations | Core (10,000 ops) |
| n8n | 1 execution | 1,000 executions | Cloud Starter, or free if self-hosted |
Same workflow. Same volume. Wildly different bills.
The gap widens as workflows get longer. If your automations are two or three steps, the difference is marginal. If they're fifteen steps with loops and iterators, n8n's model becomes dramatically cheaper and Zapier's becomes punishing.
One caveat cuts the other way. n8n's execution model rewards long workflows but punishes frequent ones. A workflow polling every five minutes racks up roughly 8,640 executions a month on its own, enough to exhaust a Starter plan in about nine days. Use webhooks rather than polling wherever the source app supports them.
Zapier: The Default Choice, and Why That's Not an Insult
What it does well
Breadth. At 9,000+ integrations, Zapier connects to things the other two simply don't. If your stack includes a niche CRM, a regional payment processor, or a vertical SaaS tool, Zapier is often the only one with a native connector.
Speed to first working automation. A non-technical operations manager can build a useful Zap in fifteen minutes without reading documentation. Neither competitor can claim that.
Reliability and support. Error handling, autoreplay, version comparison, and alerts are mature. Live chat is available from the Professional tier at higher task volumes, with priority support on Team and Enterprise.
Governance at the top end. SAML SSO, SCIM provisioning, audit logs, app access controls, and observability APIs exist for organisations that need to prove who automated what.
Where it breaks
Cost at scale. The per-action billing model means cost grows with workflow complexity, not just volume. Teams routinely start at $20 a month and find themselves at $400 eighteen months later without ever making a conscious decision to spend more.
Limited logic. Paths and filters cover most branching needs, but genuinely complex orchestration such as nested loops, custom error branches, and elaborate data transformation fights the linear interface.
Opaque usage creep. AI steps, code steps, MCP calls, and SDK usage now all draw from the same task pool, with rates varying by model tier and code runtime. That's simpler to understand than separate budgets, but it means an AI-heavy workflow burns tasks faster than the step count suggests.
Current pricing
| Plan | Price (annual billing) | Includes |
|---|---|---|
| Free | $0 | 100 tasks/mo, two-step Zaps, 15-minute polling |
| Professional | From ~$19.99/mo | Multi-step Zaps, unlimited premium apps, webhooks, 2-minute polling |
| Team | From ~$69/mo | 25 users, shared connections, SAML SSO, 1-minute polling |
| Enterprise | Custom | Unlimited users, advanced admin controls, annual task limits, TAM |
Monthly billing costs meaningfully more than annual. Zapier advertises roughly 33% savings for paying yearly. "Starting from" prices reflect the lowest task tier; higher task bundles raise the monthly figure substantially.
Make: The Value Pick for Visual Builders
What it does well
Price-to-volume ratio. Make's entry paid tier typically includes around 10,000 operations for roughly the price of Zapier's lowest task bundle. For most small businesses, that alone settles the argument.
The canvas. Make's visual scenario builder handles routers, iterators, aggregators, and error handlers in a way that's genuinely easier to reason about than a linear step list, once you've climbed the learning curve.
Data manipulation. Array handling, JSON parsing, and transformation are stronger out of the box than Zapier's equivalent tooling, without requiring code.
Scheduling control. Minute-level intervals on paid plans, versus 15 minutes on the free tier.
Where it breaks
The learning curve is real. The canvas is powerful and initially confusing. Aggregators and iterators in particular defeat a lot of first-time users. Budget days, not hours.
Smaller app library. Around 2,000+ integrations is plenty for mainstream stacks but thinner in niche verticals. You'll use the HTTP module more than you expected.
Operation math requires attention. Because the trigger module counts and every module in every branch counts, operation consumption is easy to underestimate. Add one enrichment step to a workflow running 1,000 times a month and you've just added 1,000 operations.
Overage pricing is unkind. Additional operation packs are billed at a premium over in-plan credits, reportedly around 25% more. Consistently running over means you should upgrade tiers or restructure scenarios, not buy packs.
Current pricing
| Plan | Approximate price (annual) | Includes |
|---|---|---|
| Free | $0 | 1,000 operations/mo, 2 active scenarios, 15-minute interval |
| Core | ~$9–12/mo | 10,000 operations, unlimited active scenarios, minute-level scheduling, API access |
| Pro | ~$16–21/mo | Adds Data Stores, higher transfer limits, priority execution |
| Teams | ~$29–38/mo | Roles and permissions, shared templates |
| Enterprise | Custom | SSO, SCIM, audit logs, overage protection, 24/7 support |
Published Make figures vary noticeably between sources and by billing currency and credit tier. Verify against Make's own pricing page before quoting these numbers to a client.
n8n: The Cheapest Option, With Conditions Attached
What it does well
Execution-based billing. Already covered above, and it is the headline advantage. Complex, multi-step workflows cost the same as simple ones.
Self-hosting. The Community Edition carries no licence fee and no execution limit. You pay only for the server, which realistically runs $5–20 a month on a VPS or managed host. For high-volume automation, this is an order-of-magnitude saving.
Code when you need it. JavaScript and Python function nodes sit alongside no-code nodes. You're never blocked by a missing feature, because you can write it.
AI and agent workflows. n8n has invested heavily here, and building agentic workflows with tool calling, memory, and custom logic is more natural than on either competitor.
No vendor lock-in on data. Self-hosted means your credentials, execution logs, and customer data stay on infrastructure you control. For teams with GDPR or data-residency obligations, this is often the entire reason for choosing n8n.
Where it breaks
It assumes technical fluency. n8n expects you to understand APIs, JSON structures, authentication flows, and error handling. A non-technical marketer will not be productive here, no matter how good the documentation is.
"Free" self-hosting isn't free. You own updates, backups, SSL certificates, scaling, and the 2am outage. Queue mode at any real scale needs PostgreSQL and Redis. Memory exhaustion on large payloads is the most common production failure. The licence costs nothing; the engineering time is a genuine line item. This is the point where most teams either hire an n8n specialist to stand the instance up properly or quietly give up and pay for Cloud.
No free cloud tier. n8n discontinued its permanent free cloud plan. There's a trial, then you pay. Free means self-hosted.
Hard execution caps on cloud. Hit your Cloud limit and workflows stop until the next billing cycle. There's no graceful pay-as-you-go overage of the kind Zapier offers.
The licence is fair-code, not open source. n8n uses the Sustainable Use License. Internal business use and modification are fine. Reselling n8n as a hosted product is not. If your plan is to build an automation service on top of it, read the licence properly.
A steep mid-tier cliff. The jump from Cloud Pro to Business is dramatic. Business is reportedly around €800/month for 40,000 executions, scoped to organisations under 100 employees, with a 50% startup discount for companies under 20 people.
Current pricing
| Option | Approximate price | Includes |
|---|---|---|
| Community (self-hosted) | $0 licence + $5–20/mo hosting | Unlimited executions, unlimited workflows |
| Cloud Starter | ~$20–24/mo | 2,500 executions, unlimited workflows and users |
| Cloud Pro | ~$50–60/mo | 10,000 executions |
| Business | ~€800/mo (50% startup discount available) | 40,000 executions, SSO, Git version control, self-host licence option |
| Enterprise | Custom | Unlimited-scale allowances, dedicated support |
Three Scenarios, Three Different Answers
A five-person marketing agency automating client reporting and lead routing. Around 8–10 workflows, 4–6 steps each, low volume. Choose Make. The Core plan covers the volume comfortably, the canvas suits the branching, and nobody needs to become a sysadmin. Zapier works too, at roughly double the cost.
A non-technical founder who needs a lead form talking to a CRM by Friday. Choose Zapier. The connector almost certainly exists, the build takes an afternoon, and the price difference is irrelevant at this volume. Optimising for cost before you've validated the workflow is a false economy.
A SaaS company running 30 workflows with heavy AI steps, 50,000+ runs a month, and a developer on staff. Choose self-hosted n8n. The execution model and unlimited self-hosted runs make this the only economically sane option. On Zapier, the same volume would run into four figures monthly.
Which Should You Choose?
| Your situation | Best fit |
|---|---|
| Non-technical team, needs results this week | Zapier |
| Niche apps with no connectors elsewhere | Zapier |
| Small business, moderate volume, wants value | Make |
| Complex branching, loops, and data transformation | Make or n8n |
| High volume with long multi-step workflows | n8n |
| Data must stay on your own infrastructure | n8n, self-hosted |
| Building AI agents with custom tool logic | n8n |
| Enterprise governance, SSO, audit trails, procurement | Zapier Enterprise or n8n Enterprise |
| Nobody on the team can maintain a server | Zapier or Make, not self-hosted n8n |
| You genuinely don't know what to automate yet | None of them. Map the process first |
That last row matters more than it looks. The most common failure isn't picking the wrong tool. It's buying a tool before anyone has written down what the process actually is.
Can You Switch Later?
Yes, but not automatically. There's no one-click migration between any of these platforms. Workflows must be rebuilt by hand.
The good news is that the concepts transfer. Triggers, actions, filters, and branches exist in all three, so a competent builder can usually recreate a Zap in Make in fifteen to thirty minutes. A full migration of twenty or thirty workflows is typically a one-to-three-day project, not a quarter-long one.
Some things don't transfer cleanly: historical run logs, stored data such as Zapier Tables and Make Data Stores, and any authentication that took a week to get approved by IT. Plan for reconnecting every credential.
A practical hedge is to prototype on Zapier and scale on Make or n8n. Use the easy tool to prove the workflow is worth having, then rebuild the ones that survive on the cheaper platform. Most automations you build never get used, so rebuild only the ones that do.
Migration is also the clearest case for bringing in outside help. Someone who has moved a dozen accounts between these platforms already knows which nodes have no equivalent, which credentials will fight back, and which of your workflows aren't worth rebuilding at all. Learning that yourself costs a week of your time and one broken production automation.
Common Mistakes
Choosing on sticker price. The advertised monthly figure is the starting tier. Your real bill depends on volume, workflow length, and how often things run. Do the unit math before you commit.
Polling when you could use webhooks. This is the single biggest driver of unexpected bills across all three platforms. Polling multiplies usage by 10–50x compared to event-driven triggers.
Self-hosting n8n without anyone to own it. The licence is free. The 2am database restore is not. If nobody's name is on the server, don't self-host.
Building one enormous workflow. Monolithic automations are hard to debug, hard to hand over, and fail entirely when one step breaks. Smaller workflows with clear boundaries survive staff changes.
Skipping error handling. All three support error branches and retry logic. Almost nobody configures them until after the first silent failure loses a week of leads.
Automating a broken process. Automation makes a good process faster and a bad process faster at breaking. Fix the workflow on paper first.
Assuming you'll learn it "as you go." All three have real learning curves. Zapier's is shortest, n8n's is measured in weeks. The hours you spend learning are hours you're not spending on the work the automation was meant to free up.
FAQ
What is the main difference between Zapier, Make, and n8n? How they bill. Zapier charges per action step, Make charges per module run, and n8n charges per complete workflow run. For long multi-step workflows, n8n is dramatically cheaper. For short ones, the difference is small and other factors decide.
Which is cheapest? Self-hosted n8n, by a wide margin, if you can run and maintain a server. Among fully managed options, Make is generally the best value, typically several times cheaper than Zapier for equivalent volume.
Is n8n really free? The self-hosted Community Edition has no licence fee and no execution limit. You still pay for hosting, and you absorb the maintenance, security, and update work. n8n Cloud is a paid managed service with no permanent free tier.
Is n8n open source? Not in the OSI sense. It uses the Sustainable Use License, a fair-code licence permitting internal business use and modification but not commercial redistribution.
Which has the most integrations? Zapier, at 9,000+ apps, well ahead of Make's roughly 2,000+ and n8n's several hundred native nodes. All three can hit arbitrary APIs via HTTP requests, which closes much of the gap for technical users.
Can I use more than one? Yes, and many teams do. Zapier handles the connectors nothing else supports, while n8n runs the heavy internal workflows. The cost is fragmentation: two systems to document, monitor, and hand over.
How long does it take to learn? Zapier takes a few hours to be useful. Make takes several days to be genuinely competent with routers and iterators. n8n takes weeks, and it assumes existing familiarity with APIs and JSON.
Do I need a developer? For Zapier, no. For Make, no, but a technical mindset helps considerably. For n8n, yes for anything beyond basic workflows, and definitely yes if you self-host.
You Don't Have to Learn Any of This Yourself
Here's the option most of these comparison articles never mention: don't become an expert in any of the three.
Every hour spent watching tutorials on Make's aggregator module, debugging a webhook that silently stopped firing, or working out why your self-hosted n8n instance ran out of memory is an hour you're not spending on the work that actually earns you money. Automation is supposed to buy back your time. Learning three platforms well enough to choose confidently between them costs you weeks of it upfront, before a single workflow goes live.
Hiring someone who already knows the tool skips all of it. A specialist who has built two hundred Zaps will build yours in an afternoon. More usefully, they bring the things you only learn by breaking something:
- They know which connectors are unreliable and which ones quietly rate-limit you.
- They structure workflows so a single failed step doesn't take the whole automation down.
- They set up the error handling and alerting you would have skipped.
- They size your plan correctly instead of leaving you to discover the task limit in week one.
- They document what they built, so it survives them leaving.
What this costs versus doing it yourself
An automation specialist working 10 hours a month typically costs less than the difference between a badly chosen Zapier plan and a well-structured Make or n8n setup. Put another way, the platform decision this article just walked you through is often worth more in saved subscription spend than the expert costs you in the first place.
Where to hire Zapier, Make and n8n experts?
You can hire vetted Zapier, Make, and n8n specialists through Wishup. They're pre-screened on the actual platforms rather than on general "tech savvy," and you can bring one on part-time or for a single project without the overhead of a full-time hire or an agency retainer.
The practical way to use them: describe the outcome you want, not the tool. Say "every new lead from our website should land in HubSpot, get a welcome email, and ping the sales channel." Let the specialist decide whether that's a Zap, a Make scenario, or an n8n workflow, and let them own it once it's running.
The Honest Conclusion
There is no universally correct answer here, which is inconvenient but true. Zapier buys you speed and breadth at a premium. Make buys you value and logical power at the cost of a learning curve. n8n buys you the lowest cost and the most control at the cost of needing real technical capability.
Work out your billable units per run, multiply by your expected volume, and the shortlist usually reduces itself to one or two options within about ten minutes.
Then decide whether you actually want to be the person who builds and maintains it. For most businesses, the honest answer is no. Pick the outcome and delegate the tooling.