Every automation tool comparison online reads the same way: a giant feature table, a vague recommendation and no real answer. Here's the actual answer, based on what these three tools charge, how they meter usage and what kind of work each one is genuinely built for. We build on all three, though n8n is what powers most of the client work we ship, so take the framing for what it is: informed by hands-on use, not vendor marketing.
The Short Version
Zapier is the easiest to start with and has by far the largest integration library. Make sits in the middle on price and power, with more control than Zapier for less money at moderate volume. n8n is the only one of the three built for technical teams who want to self-host, write real code inside a workflow or run high volumes without the cost scaling linearly.
None of these is universally "best." Each one is built for a different buyer.
How Each One Actually Bills You
This matters more than any feature list, because the billing model quietly determines what a workflow costs you at scale.
Zapier bills per completed task. A task is counted every time Zapier successfully finishes one unit of work; failed steps don't count. (See Zapier's pricing page for the current breakdown.) The free plan includes 100 tasks a month but caps you at two-step workflows. Paid plans start around $19.99 a month (billed annually) for 750 tasks on the Professional tier and around $69 a month for 2,000 tasks on the Team tier.
Make bills in credits. (See Make's pricing page.) Each module action in a scenario, for example adding a row to a spreadsheet or fetching a record from a CRM, costs one credit. The free plan gives you 1,000 credits a month but limits you to two active scenarios and a 15-minute minimum interval between runs. Paid tiers start at $9 a month for Core, $16 for Pro and $29 for Teams, with credit allowances scaling from there.
n8n bills per workflow execution, not per step. (See n8n's pricing page.) A workflow with 15 steps that runs once counts as one execution, the same as a workflow with 3 steps. That's a fundamentally different cost curve at volume. The Starter plan is €20 a month for 2,500 executions, Pro is €50 a month for 10,000 executions and Business is €667 a month for 40,000 executions, all billed annually. n8n also offers a genuinely free, self-hostable Community Edition, so if you're comfortable running your own infrastructure, the platform itself costs nothing.
The practical takeaway: if your workflows have many steps and run often, n8n's per-execution model tends to be dramatically cheaper than Zapier's per-task model at the same volume. If your workflows are simple and infrequent, that advantage mostly disappears.
Integration Libraries
Zapier has the largest library by a wide margin: its own app directory lists over 9,900 supported apps. Make's pricing page lists 3,000+ apps. n8n's own site states it supports over 500 integrations, but that number understates n8n's actual reach, because its HTTP Request node can connect to any service with a public API, not just the ones with a pre-built node. In practice that means n8n can usually reach a tool Zapier or Make would need a native integration for, it just takes more setup effort to wire it up manually.
AI and Agent Capabilities
All three have invested in AI features, but n8n has gone furthest on the technical end. It added native LangChain support with more than 70 dedicated AI and agent nodes, covering models, memory, chains, tools and vector-store connections for retrieval-augmented generation. That makes it the strongest option of the three if you're building genuinely agentic workflows, ones where an AI model makes multi-step decisions rather than just generating text inside a single step.
Zapier and Make both offer AI steps too, generally aimed at making AI accessible without needing to understand how the underlying model works. That's the right tradeoff for most non-technical teams. It's the wrong one if you need to inspect, debug or fine-tune exactly how an agent is reasoning.
Comparison Table
| Category | Zapier | Make | n8n |
| Billing unit | Per completed task | Per module action (credit) | Per workflow execution |
| Free plan | 100 tasks/mo, 2-step limit | 1,000 credits/mo, 2 active scenarios | Free self-hosted Community Edition |
| Entry paid tier | ~$19.99/mo for 750 tasks | $9/mo (Core) | €20/mo for 2,500 executions |
| Integrations | 9,900+ apps | 3,000+ apps | 500+ native, plus any API via HTTP node |
| Self-hosting | Not available | Not available | Yes, free Community Edition |
| Best for | Non-technical teams, fastest setup | Mid-complexity logic, moderate budget | Technical teams, high volume, custom code, AI agents |
n8n vs. Zapier vs. Make: Which One Should You Actually Use?
- You're not technical and just need two tools talking to each other. Zapier. The setup time is close to zero and the integration library means whatever you're using is almost certainly supported natively.
- You need multi-step logic with branching and conditions, but you're not ready to write code. Make. It sits between Zapier's simplicity and n8n's technical depth, at a lower cost than Zapier for equivalent volume.
- You run high volumes, want to self-host or need to write actual JavaScript or Python inside a step. n8n. The per-execution billing model and free self-hosted option make it the only one of the three that doesn't get more expensive as you scale usage up.
- You're building AI agents that need to reason across multiple steps, not just generate text once. n8n, specifically because of its native LangChain integration and the depth of its AI-specific node library.
FAQ
Is n8n actually cheaper than Zapier?
At high volume with multi-step workflows, usually yes, because of the per-execution versus per-task billing difference. At low volume with simple two- or three-step workflows, the gap narrows and Zapier's free tier or entry plan may end up cheaper once you account for the time saved on setup.
Do I need to know how to code to use n8n?
No, n8n is visual-first like Zapier and Make. Coding ability becomes valuable when you hit the edge of what the visual nodes can do and want to drop in a custom JavaScript or Python step instead of chaining multiple workarounds together.
Can I switch between these tools later without starting over?
Not directly. None of the three export workflows in a format the others can import, so migrating means rebuilding the logic in the new tool. That's a real reason to think about your likely volume and technical needs before you build dozens of workflows in one platform.
Which one is best for AI agent workflows specifically?
n8n, based on its native LangChain integration and the size of its AI-specific node library. Zapier and Make both support AI steps, but they're built for adding AI to a single step, not for the kind of multi-step, tool-using agent behavior n8n's AI Agent node is designed around.
If you're not sure which of these actually fits your stack and your volume, that's exactly the kind of decision worth a second opinion before you build fifty workflows in the wrong tool. Get in touch and we'll help you figure out what's actually right for your team.