Every week I get asked the same question by founders, agency owners, and ops leads: "Should I use n8n, Make.com, or Zapier?"
There is no universal answer. The right tool depends on team skill, workflow complexity, monthly volume, budget, and whether you need to self host. This guide is an honest, opinionated comparison from someone who has shipped production automations on all three (you can see my n8n.io creator profile for examples).
TL;DR: pick the right one in 30 seconds
- Zapier: Non technical team, simple linear flows, low monthly volume.
- Make.com: Visual branching workflows, moderate volume, hands on ops team.
- n8n: Technical team or developer support, complex logic, high volume, AI heavy workflows, or a need to self host.
Now for the long version.
The three tools at a glance
All prices below are list prices as of October 2026, taken from each vendor's own pricing page: Zapier pricing, Make pricing, and n8n pricing. n8n lists its prices in euros, Zapier and Make in dollars. Check the pages before you buy, because all three change their plans regularly.
| Feature | Zapier | Make.com | n8n |
|---|---|---|---|
| Billing unit | Tasks (successful action steps; triggers and built in tools like Filter and Formatter do not count) | Credits (most actions use 1 credit; some AI and Code features use more) | Executions on n8n Cloud (one full workflow run, however many steps); free when self hosted |
| Free option | Free plan, 100 tasks / month | Free plan, 1,000 credits / month, 2 active scenarios | Community Edition, free to self host; Cloud free trial |
| Entry paid plan | Professional: $29.99 / month billed monthly ($19.99 billed annually) for 750 tasks | Core: $9 / month for 10,000 credits | Starter (Cloud): €20 / month for 2,500 executions |
| App integrations | 9,000+ apps | 3,000+ apps | 2,300+ in its integrations directory, plus any API via the HTTP Request node |
| Visual editor | Linear steps | Visual canvas, branching | Visual canvas, branching |
| Code steps | Limited | Code app, billed by execution time | JavaScript and Python |
| Self hosting | No | No | Yes (Community Edition is free) |
| AI features | AI by Zapier on paid plans; Agents and Chatbots are separate add ons | Make AI Agents (beta) and AI Toolkit on all plans | AI nodes built on LangChain (agents, chains, vector stores) |
| Learning curve | Low | Medium | Medium to high |
| Best for | Non technical, simple | Mid market, visual ops | Devs, technical teams, scale |
Zapier: the simple choice that gets expensive fast
Zapier invented this category. It has the largest integration library (Zapier says it connects 9,000+ apps) and the gentlest learning curve. A non technical user can build a working automation in minutes without watching a tutorial.
What Zapier does well
- Massive app catalog. If you use an obscure SaaS, Zapier almost certainly has a native integration.
- Polished UX. The editor is built for non technical users. Field mapping, testing, and error messages are all friendly.
- Reliability. The platform has been around long enough that edge cases are mostly handled.
- AI features. AI by Zapier is included on Professional and above, while Zapier Agents and Chatbots are optional add ons with their own billing, according to the pricing page.
Where Zapier falls down
- Pricing scales with every action. Zapier counts each successful action step as a task. Triggers, filters, and its built in data tools do not count. A Zap with one trigger and five actions that runs 1,000 times a month uses 5,000 tasks. On the Professional plan, 10,000 tasks a month costs $193.50 billed monthly ($129 billed annually) and 100,000 tasks costs $733.50 billed monthly ($489 billed annually), as of October 2026.
- Overage costs extra. When you go over your plan, Zapier keeps running and bills extra tasks at an overage rate, 2.5 times the base rate on monthly plans and 1.25 times on annual plans.
- Linear flows. Branching, looping, and complex conditional logic feel bolted on. You will fight the editor for anything beyond if/then.
- No self host option. You are fully on Zapier infrastructure. Data passes through their servers, which can be a compliance issue.
- Limited code escape hatch. Code by Zapier exists but it is restrictive.
Who should use Zapier in 2026
- Solo founders and very small teams.
- Marketing teams who need to wire up Mailchimp, HubSpot, Calendly, and similar SaaS without any technical help.
- Anyone whose total automation volume stays low.
For most growing businesses, Zapier is what you start with and migrate off of.
Make.com: the visual sweet spot
Make.com (formerly Integromat) sits between Zapier and n8n in nearly every dimension. The visual canvas is more powerful than Zapier and easier than n8n.
What Make.com does well
- Visual canvas with real branching. You can build complex workflows with parallel paths, error handlers, and iterators without writing code.
- Lower entry price than Zapier. Make now bills in credits instead of operations. Most actions use one credit, error handlers and routers use none, and the Core plan starts at $9 a month for 10,000 credits (Make pricing, as of October 2026).
- Code when you need it. When the visual modules are not enough, the Code app runs custom code, billed at 2 credits per second of execution time.
- Good debugger. The execution history shows exactly what data flowed through each module, which is invaluable for debugging.
- AI built in. Make AI Agents (beta) and the AI Toolkit are available on all plans, using Make's AI Provider or your own LLM key.
Where Make.com falls down
- No self hosting. Like Zapier, your data passes through Make.com's servers.
- Smaller integration library than Zapier. Make lists 3,000+ apps, which is plenty for most teams. For very niche SaaS you might need the HTTP module.
- Credit pricing still adds up. Every action in every run uses credits, so long scenarios at high volume get expensive compared with self hosted n8n. When credits run out, scenarios stop until you add more or upgrade.
- Visual canvas hits limits. Very large scenarios become hard to read. You end up splitting them into smaller scenarios.
Who should use Make.com in 2026
- Agencies building automations for clients who want a polished visual canvas to show.
- Operations teams who want power without writing much code.
- Mid market companies with moderate monthly volume.
- Teams that need branching and iteration without going full n8n.
This is my default recommendation for non technical operations leads who outgrew Zapier.
n8n: the power user choice
n8n is self hostable (the Community Edition is on GitHub) and developer friendly. It is my personal default for client work because self hosting removes per execution billing and its AI nodes are built on LangChain.
What n8n does well
- Self hosted means no execution fees. The Community Edition is free to self host. You pay for the server and the time to run it, not per workflow run.
- Executions, not steps. On n8n Cloud, one execution is a single run of the whole workflow, no matter how many steps it has. Long workflows cost the same as short ones.
- LangChain based AI nodes. n8n ships agents, chains, vector stores, embeddings, memory, and text splitters as nodes (n8n docs). Building RAG automations is much faster than wiring the same thing by hand in Zapier.
- Code nodes in JavaScript and Python. The Code node is a real escape hatch for anything the visual builder cannot do.
- No vendor lock in. You own your workflows as JSON files.
- Great for technical teams. Workflows can be version controlled, code reviewed, and deployed via CI like any other software artifact.
- Cloud option available. If you do not want to self host, n8n Cloud Starter is €20 a month for 2,500 executions and Pro is €50 a month for 10,000 executions, as of October 2026.
Where n8n falls down
- Steeper learning curve. The UI is more dense than Zapier or Make.com. A non technical user will struggle in the first hour.
- Self hosting is your responsibility. Updates, backups, scaling, security patches. If your team cannot manage a server, use n8n Cloud.
- Fewer native integrations than Zapier. But the HTTP Request node and Code node let you call any API, so this is rarely a real blocker.
- Visual debug experience is less polished than Make.com.
- Higher Cloud tiers jump in price. The Business plan is €667 a month for 40,000 executions, and n8n currently offers it only for self hosted installs.
Who should use n8n in 2026
- SaaS teams with developer resources running high monthly volume.
- AI heavy automations using LangChain, embeddings, RAG, or agent patterns.
- Agencies serving clients who want owned automations rather than per task billing.
- Anyone in a compliance heavy industry that needs data to stay on their own infrastructure.
This is what I reach for first on most new client engagements.
What the same workflow costs at list prices
Take one lead enrichment workflow with a trigger and four actions (lookup, AI summary, CRM update, Slack alert). Here is how each platform counts it:
- Zapier: 4 tasks per run, because the trigger does not count.
- Make.com: about 5 credits per run, since reading data from a webhook or app uses a credit too. AI steps through Make's AI Provider can use more.
- n8n Cloud: 1 execution per run.
- n8n self hosted: no usage fee, only your server.
Prices below are as of October 2026 from the Zapier, Make, and n8n pricing pages.
1,000 runs a month
- Zapier Professional, 5,000 task tier: $133.50 / month billed monthly, or $89 / month billed annually.
- Make.com Core, 10,000 credits: $9 / month.
- n8n Cloud Starter, 2,500 executions: €20 / month.
- n8n self hosted: the cost of your server.
Winner: Make.com on price plus polish for a non technical small business.
10,000 runs a month
- Zapier Professional, 50,000 task tier: $433.50 / month billed monthly, or $289 / month billed annually.
- Make.com: about 50,000 credits, which needs a higher credit tier than the 10,000 credits in the base price. Set the slider on the pricing page for the exact figure.
- n8n Cloud Pro, 10,000 executions: €50 / month.
- n8n self hosted: the cost of your server.
Winner: n8n, either Cloud Pro for managed simplicity or self hosted for the lowest bill.
Beyond that
Zapier's listed Professional tiers stop at 100,000 tasks, Make's slider goes up to millions of credits, and n8n's next listed tier is the self hosted only Business plan at €667 a month for 40,000 executions. The Community Edition carries no n8n fee at all, so at high volume self hosting wins by a wide margin, as long as someone can run the server properly.
What about AI workflow building specifically?
In 2026, every automation tool has shipped AI features. They are not equally good.
- Zapier AI: AI by Zapier is fine for adding a single LLM step to an existing automation. Zapier Agents and Chatbots are separate add ons with their own billing.
- Make.com AI: Make AI Agents (beta) and the AI Toolkit come with every plan, and you can use Make's AI Provider or your own LLM key. Good for chaining a few AI steps in most business workflows.
- n8n AI: Agents, chains, vector stores, memory, and tools as native nodes built on LangChain. The most flexible of the three. Building RAG, AI agents, or multi step reasoning workflows is much faster here than in the other two.
If your automation roadmap is heavily AI focused, n8n is the right long term pick.
Switching costs are real
Once you have a lot of automations on one platform, migrating is painful. Workflows are not portable between Zapier, Make.com, and n8n in any meaningful way. Each platform has its own data model and trigger semantics.
Practical advice: do not jump platforms unless you are clearly capped by pricing or capability. Every workflow has to be rebuilt and retested, and the edge cases you fixed over months tend to come back during the move.
My personal recommendation
If you are starting fresh in 2026 and asking me what to build on:
- Pure non technical team, low volume: Zapier.
- Small to medium business, non technical, moderate volume: Make.com.
- Anyone with developer support or AI heavy roadmap: n8n.
- Agency: n8n. Always n8n.
The honest answer is most growing businesses end up on n8n eventually, so if you can absorb the steeper start, beginning on n8n saves a migration later.
Frequently asked questions
Is n8n really free?
The self hosted Community Edition of n8n is free. You pay for the server you run it on and the time to maintain it. n8n Cloud is paid, starting at €20 per month for 2,500 executions on the Starter plan, as of October 2026 (n8n pricing).
Is Make.com cheaper than Zapier?
At list prices, usually yes. As of October 2026, Make's Core plan starts at $9 a month for 10,000 credits, while Zapier Professional costs $193.50 a month billed monthly ($129 billed annually) for 10,000 tasks. Credits and tasks are counted differently, since Zapier does not count triggers and Make counts most module actions, so price your own workflows on both Make pricing and Zapier pricing.
Can I migrate from Zapier to n8n?
You cannot import Zaps directly into n8n, but the patterns translate. Each Zap has to be rebuilt and tested in n8n, so the effort depends on how many Zaps you have and how complex they are. Compare that one time cost with your monthly Zapier bill to see when the move pays off.
Which automation tool is best for AI workflows?
n8n is the best for AI workflows in 2026 because of its LangChain based agent, chain, and vector store nodes. Make.com is a good second choice for simpler AI chains. Zapier AI is fine for single LLM steps.
Do I need a developer to use n8n?
For self hosting, yes, or at least someone comfortable managing a server. For n8n Cloud, no. The workflow editor itself is no code, just denser than Zapier or Make.com.
Which automation platform has the best free tier?
n8n self hosted has no usage limits from n8n (you only pay for the server). Among hosted free plans, Make.com gives 1,000 credits per month with up to 2 active scenarios, Zapier gives 100 tasks per month, and n8n Cloud offers a free trial instead of a free plan, as of October 2026.
Need help picking or migrating?
If you want help figuring out which automation platform fits your business, or you need to migrate from Zapier to a cheaper tool, book a free 30 minute discovery call and I will review your current workflows with you. I have built production automations on all three platforms. See my services and the n8n workflows I have published.
