
n8n vs Zapier vs Make: Best AI Automation Platform for Non-Developers 2026?
Every vendor in this category now promises the same thing: describe a workflow, let AI help you build it, connect it to your tools. The features have converged. What has not converged is the bill.
In 2026 the real choice is not which tool automates best, but which billing model — tasks, credits, or executions — will quietly tax your AI workflows as they grow.
A Zap that looked cheap can triple in cost the moment you add an AI step, a branch, and a webhook. This guide is about that meter, not the marketing.
Methodology: how we compared without hands-on testing
This comparison is based on official pricing pages, documentation, and published vendor material — we did not run these platforms hands-on. Every number below was read from vendor pages on 2026-09-28 and is quoted as published. Where vendors disagree with themselves, we say so rather than picking a side.
The 2026 decision is about billing models, not just features
All three platforms can build the AI workflow you want in 2026. The real difference is what each one charges for: Zapier bills tasks, Make bills credits, and n8n bills executions. That choice decides how fast your bill grows when AI steps multiply.
Zapier charges a task for every step and every external connector call, drawn from one shared pool that Zaps, Tables, Forms, AI steps, code, MCP and the SDK all drink from. Your Zap budget and your Tables budget are the same budget. Zapier also states that the AI model tier, the code runtime and the connector type change how many tasks an action uses — but publishes no multiplier table, so you cannot calculate an AI step’s cost in advance.
Make charges one credit per module action. That is easier to predict, but unused credits expire at the end of your billing term, so underusing a month is a real loss.
n8n charges per execution: one full workflow run, regardless of step count or data volume. A fifteen-step AI workflow and a two-step Zap count the same, which is the single strongest argument for n8n if your automations are long.
Quick picks: who should choose which platform
Pick Zapier if you want the largest app library and the least setup. Pick Make if you want visual depth and cheap experimentation. Pick n8n if you are comfortable running software yourself, or if long AI workflows would make per-step billing expensive.
- Choose Zapier when coverage matters more than cost control. Zapier connects across 9,000+ apps and says 3.4 million companies use it, so the connector you need almost certainly exists. Start on the free tier, then move to Professional when you need multi-step Zaps, webhooks, AI fields and 2-minute polling. Zapier pricing
- Choose Make when you want to see and edit the logic visually on a small budget. Core is $12/mo for 10,000 credits and lifts you to unlimited active scenarios with a 1-minute minimum interval — the point where a real workload becomes possible. Make pricing
- Choose n8n when workflows are long, when data must stay on your own server, or when you want unlimited users from day one. The free self-hosted Community Edition is the honest reason to pick it. n8n pricing
Pricing comparison table, 2026
Here are the published list prices for the plans most non-developers actually buy, read on 2026-09-28. Zapier prices tasks, Make prices credits, and n8n prices executions, so the volume column is not directly comparable between vendors — read it as three different currencies. Prices come from the Zapier pricing page, the Make pricing page and the n8n pricing page.
| Plan | Monthly price | Included volume | Polling / concurrency | Self-hosting |
|---|---|---|---|---|
| Zapier Free | $0 | 100 tasks/mo | 15-min polling | No |
| Zapier Professional | from $19.99/mo billed annually | — | 2-min polling | No |
| Zapier Team | $69/mo | — | 1-min polling | No |
| Zapier Enterprise | custom | — | custom | No |
| Make Free | $0 | 1,000 credits/mo | 15-min interval | No |
| Make Core | $12/mo | 10,000 credits/mo | 1-min interval | No |
| Make Pro | $21/mo | 10,000 credits/mo | 1-min interval | No |
| Make Teams | $38/mo | 10,000 credits/mo | 1-min interval | No |
| Make Enterprise | custom | custom | custom | On-prem agent available |
| n8n Starter | $20/mo billed annually | 2,500 executions + 2,300 AI credits | 5 concurrent | Yes — Community Edition |
| n8n Pro | $50/mo billed annually | 10,000 executions + up to 13,700 AI credits | 20 concurrent | Yes — Community Edition |
| n8n Business | $800/mo billed annually | 40,000 executions | 200+ concurrent on Enterprise | Yes |
| n8n Enterprise | custom | custom | 200+ concurrent | Yes |
All prices are annual-billing list prices read on 2026-09-28 from the Zapier, Make and n8n pricing pages. Zapier Professional is published only as “from $19.99/mo billed annually”; n8n annual billing saves 17%; Make annual billing saves 15%+.
Zapier Tables records (Zapier pricing) are a separate allowance inside the same account: 2,500 records free, 100,000 on Pro, 500,000 on Team. Chatbot add-ons are priced on top: free includes two chatbots, Pro chatbots are $13.33/mo billed annually ($160/yr), Advanced are $66.67/mo billed annually ($800/yr).
Billing unit: tasks vs credits vs executions
Zapier charges per task, Make per credit, n8n per execution. Zapier’s tasks come from one shared pool used by Zaps, Tables, Forms, AI steps, code, MCP and SDK calls. Make gives 1 credit per module action. n8n counts one full workflow run as one execution, no matter the step count.
Zapier tasks are the easiest to overspend. Because Tables, Forms, AI steps, code, MCP and the SDK all draw from the same pool, building a data table next to your Zaps silently reduces the tasks available to your automations. Zapier does not publish a table explaining how many tasks an AI action consumes, so the only safe assumption is that AI-heavy Zaps cost more than the step count suggests. Free is 100 tasks/mo with two-step Zaps only.
Make credits are the simplest to reason about: one module action equals one credit, so a scenario with eight modules firing 500 times costs 4,000 credits. The catch is expiry — unused credits expire at the end of your term, so a plan you pay for but underuse is money gone. On Pro, Make Code App runs at 2 credits per 1 second of code execution (Make pricing).
n8n executions reward complexity. Whether a workflow has three nodes or thirty, one run is one execution, and data volume does not change it. That flips the usual incentive: in n8n you can afford to branch, log and retry; in task- or credit-billed tools, every extra step is a line item.
The 2026 AI layer: agents, assistants, and metering
All three now ship agents, assistants and model connections, and all three meter that AI work differently. Zapier offers Agents free to try plus AI fields, Make offers Maia and beta Make AI Agents, and n8n offers LangChain-based agent nodes with a preview AI Assistant on Business.
Zapier’s AI surfaces sit on top of the task pool. Zapier Agents is free to try, and AI fields are a Professional feature — but every AI action still consumes tasks from that shared budget, with the model tier influencing the count. There is no published multiplier, so model choice is a cost decision you can only observe after the fact.
Make has the broadest published AI toolkit: Maia builds automations and AI agents by natural conversation, Make AI Agents are in BETA with your own LLM key or Make’s AI Provider, plus an MCP server and client, AI Content Extractor, AI Web Search (beta), Make AI Toolkit and Make Grid. Note a conflict worth flagging: the pricing page says “350+ AI apps” while the AI automation page says “400+ AI apps available on Make” — we are not picking a number. Make AI Agents are beta, not generally available.
n8n’s AI documentation describes LangChain-based agent, chain, tool and memory nodes, LLM nodes for OpenAI, Anthropic and Google, MCP servers, and evaluations. The AI Assistant is explicitly a preview feature on the Business tier — it is not included in Starter — with bring-your-own-key available when self-hosting. AI credits are metered separately from executions: 2,300/mo on Starter, up to 13,700/mo on Pro.
Limits, polling, and runtime ceilings that matter
Free and entry tiers all throttle something: Zapier polls every 15 minutes and caps code at one second per step, Make limits free scenarios to a 15-minute interval and five minutes of execution, and n8n Starter allows five concurrent executions. These ceilings shape what you can build daily.
Zapier polls every 15 minutes on Free, 2 minutes on Professional and 1 minute on Team. Code by Zapier gets 1 second of runtime per step on Free and 30 seconds on Professional. Free is limited to two-step Zaps; multi-step Zaps require Professional (Zapier pricing).
Make’s free tier allows 2 active scenarios, a 15-minute minimum interval, 5-minute maximum execution, 7-day log storage and 512 MB of data transfer. Core raises this to unlimited active scenarios, a 1-minute interval, 40-minute execution, 30-day logs, 5 GB transfer per 10k credits and the Make API. Pro adds priority execution, custom variables and full-text log search (Make pricing).
n8n’s trial runs Pro-level features with 1,000 executions, 5 concurrent executions, a 180-second execution timeout, plus 800 AI Assistant credits, 100 AI credits and 20 AI Builder credits. On paid tiers, concurrency rises from 5 (Starter) to 20 (Pro) (n8n pricing).
Self-hosting and data residency
Zapier cannot be self-hosted at all. Make cannot be self-hosted on free or small tiers. n8n ships a free self-hosted Community Edition under an open-source licence, with cloud data stored in the EU (Frankfurt, Germany) (n8n hosting documentation) and self-hosted data wherever you put it.
Zapier pricing and Make pricing are cloud-only at the tiers most buyers use; Make’s on-prem agent for systems like SAP arrives at Enterprise. n8n’s hosting documentation makes the trade-off explicit: self-hosting requires Docker, a host and ongoing updates. That is real operations work for a non-developer, and it is why “free self-hosted” is not the same as “free to run”. The n8n pricing page links a 206,188-star GitHub count as a popularity signal — a figure read on the pricing page, not a live one.
Team features and scale
Zapier Team costs $69/mo with 25 seats and SAML SSO, n8n charges unlimited users from Starter up but gates SSO and Git version control at $800/mo Business, and Make sells Teams at $38/mo with the heavier controls reserved for Enterprise.
Zapier’s Team plan adds 25 seats, SAML SSO and 1-minute polling; Enterprise is custom. Projects and shared work are modest: n8n gives 1 shared project on Starter and 3 on Pro, but unlimited users on every paid tier, which suits a small team that would rather not pay per seat. n8n Business ($800/mo billed annually) adds SSO/SAML/LDAP, 30 days of insights and Git version control; its published overage is 4,000 EUR per 300,000 extra executions (n8n pricing). Make’s Enterprise tier adds 60-day logs, an on-prem agent for apps like SAP, 24/7 support and overage protection.
Three watch-outs before you buy
Before you commit, check three things: which billing unit your AI steps consume, what happens to unused volume at renewal, and how much of the AI feature set is still preview or beta. Each platform has at least one answer that should change your decision.
- Zapier’s AI cost is unquantifiable up front. The single shared task pool spans Zaps, Tables, Forms, AI steps, code, MCP and SDK, and no public multiplier table exists. If your budget depends on predicting AI spend, this is the biggest unknown on the market.
- Make credits expire at the end of your term. Paying for 10,000 credits you never spend is a full loss. Buy the smallest plan that covers your average month, then upgrade when you actually hit the ceiling.
- n8n’s best AI features sit high up the stack. The AI Assistant is preview and Business-tier only, not Starter, and self-hosting means Docker, a host and updates. Budget for the time, not just the licence.
Verdict: decision rules by use case
Choose by use case, not by feature list. Zapier wins on app coverage and setup speed, Make wins on visual depth and credit pricing, n8n wins on execution pricing, self-hosting and long AI workflows. If in doubt, start on a free tier and watch the meter.
- You want it working this week with an obscure app: Zapier (pricing). 9,000+ apps, 3.4 million companies, free tier to prove the flow, then Professional for multi-step Zaps and 2-minute polling.
- You are a solo operator watching every dollar: Make (pricing). Core at $12/mo for 10,000 credits beats per-step pricing for short, frequent scenarios — just don’t let credits expire unused.
- Your workflows are long, AI-heavy, or branchy: n8n. One execution equals one whole run regardless of step count, so complexity costs nothing extra.
- You need data in your own infrastructure: n8n Community Edition, free and self-hosted, or Make Enterprise for a managed on-prem agent. Zapier has no self-hosting path at all.
- You are a team that must avoid per-seat billing: n8n, which includes unlimited users from Starter, or Zapier Team at $69/mo if you specifically need SAML SSO with 25 seats (n8n pricing).
- You are buying AI agents today rather than next quarter: Zapier Agents (free to try) or n8n’s agent nodes are the most settled options; treat Make AI Agents as beta and plan accordingly.
FAQ
Short answers to the three questions non-developers ask most before picking an automation platform in 2026, based only on what each vendor publishes about pricing, tiers and AI features. Each answer links back to the vendor page so you can re-check the details yourself before you sign up.
Is n8n too technical for a non-developer?
Only if you self-host. The cloud Starter plan at $20/mo billed annually needs no server work and gives you unlimited users, 2,500 executions and 2,300 AI credits. The free Community Edition is genuinely free but requires Docker, a host and your own updates, per the n8n hosting documentation. If you cannot commit to maintaining a server, pay for cloud.
Does Zapier AI use more tasks than a standard step?
Yes, in effect — but Zapier does not publish how many. The Zapier pricing page states that the AI model tier, code runtime and connector type change how many tasks an action consumes, and there is no public multiplier table. Every AI action draws from the same shared task pool as your Zaps, Tables, Forms, code, MCP and SDK calls, so AI work reduces the tasks available everywhere else in your account.
Do Make credits really expire if I don’t use them?
Yes. Unused credits expire at the end of your billing term under Make’s published terms. One module action equals one credit, and plans start at 1,000 credits/mo free, then 10,000 credits/mo on Core, Pro and Teams. This makes Make cheap when you use it and wasteful when you don’t — a reason to start on the smallest paid tier and move up only when the meter tells you to.
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Cross-links automatically generated from NoCode Insider.