Zapier vs Make vs n8n: Which Automation Tool Wins in 2026?

Zapier, Make, and n8n all promise the same thing — connect your apps, automate the boring work, get your evenings back. But they bill for that promise in three completely different ways, and the wrong choice can cost you 10x what the right one would. If you want the fastest, easiest setup and never want to touch a server, Zapier is still the default. If you want the most automation per dollar without hosting anything, Make wins. And if you are technical enough to run your own infrastructure and want AI agents inside your workflows, n8n is in a league of its own.

Quick verdict

If you are a non-developer who wants automations running today, pick Zapier — nobody beats its 9,000+ app catalog or its gentle learning curve. If you are cost-conscious and comfortable with a visual builder, pick Make — at roughly $0.0009 per credit versus Zapier’s ~$0.027 per task at entry tiers, the price gap is real. If you can run a server (or want AI agent workflows with your own LLM key), pick n8n — self-hosted is free with unlimited executions.

At a glance: Zapier vs Make vs n8n

Zapier: the easiest automation tool, and the most expensive

Zapier is the tool everyone has heard of, and for a simple reason: a non-technical person can connect two apps and have something working in about twenty minutes. The builder is linear — trigger, then actions, with filters and branching “Paths” when you need logic. It ships with genuinely useful extras like Zapier Tables and Forms, whose steps don’t even count against your task quota.

Pricing breakdown. Free gives you 100 tasks a month and 2-step Zaps — enough to test, not enough to run a business. Professional is where serious users land: from $19.99/month billed annually ($29.99 month-to-month) for 750 tasks, scaling on a task slider all the way up to 2 million tasks. Team starts at $69/month annually for 2,000 tasks, up to 25 users, shared app connections, and SAML SSO. Enterprise is custom.

AI features. Zapier includes AI steps at no extra charge, plus a Copilot that helps build Zaps. The real agentic layer — Zapier Agents, which chat and act across your apps on schedules — is a separate paid add-on starting at $33.33/month for 1,500 automated behaviors. So if “AI automation” is what sold you, budget for the add-on on top of the plan.

Real use cases:

1. A marketing team captures leads from Facebook Lead Ads into HubSpot and Slack the moment they arrive — simple trigger-to-action work where Zapier’s catalog depth matters.
2. A freelancer syncs new Stripe payments to a Google Sheet and sends a “paid” email — three steps, zero code, running in minutes.

Pros: gentlest learning curve in the category; 9,000+ integrations, so niche apps actually exist here; billing only counts completed action steps.

Honest cons: the most expensive per unit by a wide margin; complex branching logic gets painful fast; cloud-only, so your data always lives on Zapier’s servers; the Agents add-on is priced separately.

Make: the most automation per dollar

Make (formerly Integromat, now owned by Celonis) trades Zapier’s linear simplicity for a visual canvas where scenarios branch through routers, loop with iterators, and aggregate data between steps. It looks more intimidating at first glance — give it a weekend, not twenty minutes — but that canvas is why power users love it: you can see exactly what your data does at every step.

Pricing breakdown. Free: 1,000 credits a month, 2 active scenarios, and a 15-minute minimum schedule interval. Core: $9/month billed annually ($10.59 month-to-month) for 10,000 credits, unlimited scenarios, 1-minute scheduling, and API access. Pro: $16/month annual ($18.82 monthly) adds priority execution and full-text execution log search — the latter is the kind of feature you don’t appreciate until a scenario has failed once in 4,000 runs. Teams: $29/month annual ($34.12 monthly) adds team roles and shared templates for unlimited users. Credits scale on a slider past 8 million.

AI features. Make’s AI Agents are in beta and available on all plans, metered in the same credits as everything else. You can also plug in your own LLM key. No separate AI subscription, no separate meter — the AI just spends your credits like any other module.

Real use cases:

1. An e-commerce shop watches Shopify for new orders, enriches the customer with Clearbit, writes a summary to Notion, and pings Slack — routers handle the branching, iterators handle the line items.
2. A content team runs a daily scenario that pulls analytics, generates a digest with an AI module, and posts it to a shared channel.

Pros: roughly 30x cheaper per unit than Zapier at entry tiers; visual debugging is excellent; blueprint JSON export works on every plan; the free tier is genuinely useful.

Honest cons: the 15-minute interval on Free is a real gate — if you need near-real-time triggers, you’re paying $9 from day one; 3,000 apps is strong but a third of Zapier’s; near-limit behavior is brutal — Make pauses scenarios when credits run dry until you top up.

n8n: the self-host AI-builder’s pick

n8n is a node-based workflow engine you can run on your own server or buy as hosted cloud. Every node accepts JavaScript or Python, AI Agent and MCP nodes ship in every plan including the free self-hosted edition, and there is an active developer community around it. This is the tool for people who outgrow Zapier’s logic and Make’s credits.

Pricing breakdown. The Community Edition is free under n8n’s Sustainable Use License: unlimited executions, all 400+ native integrations, your server bill (realistically $5–15/month on a VPS) is the only cost. Cloud Starter: €20/month billed annually (€24 month-to-month) for 2,500 executions. Cloud Pro: €50/month annual (€60 monthly) for 10,000 executions. Business: €667/month annual for 40,000 executions plus SSO and Git version control. Cloud instances are hosted in the EU. Every plan includes unlimited users and unlimited workflows — only execution volume changes the bill.

AI features. This is where n8n pulls ahead. AI Agent nodes, LangChain nodes, and direct OpenAI/Claude/Gemini integrations are first-class citizens, not add-ons. You can wire agentic loops with your own LLM key, and on self-hosted there’s no meter on any of it. No other tool in this comparison gives you that much AI depth at that price — or for free.

Real use cases:

1. A small agency self-hosts n8n and runs an AI agent that reads incoming support emails, drafts replies, and flags the tricky ones for humans — thousands of runs a month, zero per-run cost beyond the VPS.
2. A data team chains webhook-triggered workflows that clean, transform, and load data with Python nodes — logic that would be torturous in Zapier’s linear builder.

Pros: self-hosted = free with unlimited executions; whole-run billing means long workflows are dramatically cheaper; deepest AI/agent support; code nodes when visual builders hit their limits; your data stays on your disk.

Honest cons: you are your own DevOps — uptime, updates, and backups are your problem on self-host; the learning curve assumes technical comfort; 400+ native apps is the smallest catalog here, so expect to build HTTP nodes yourself.

Head-to-head on what actually matters

AI features depth. n8n wins outright. AI Agent and MCP nodes on every plan, your own LLM key, agentic loops with no extra meter on self-hosted. Make is second: AI Agents in beta, metered inside your normal credits, own key supported. Zapier is third: AI steps are included, but real agents cost $33.33/month extra on top of your plan.

Per-task cost at realistic volumes. Take a 10-step workflow running 1,000 times a month.

On Zapier that’s roughly 10,000 tasks — a tier around $129/month on annual billing. On Make it’s about 10,000 credits, which fits inside the $9/month Core plan. On n8n it’s 1,000 executions — inside the €20/month Cloud Starter. Make and n8n aren’t slightly cheaper; they’re an order of magnitude cheaper at volume. If your workflows are long and frequent, Zapier’s per-task math is a line item finance will ask about.

Learning curve for non-developers. Zapier wins by a mile — twenty minutes to your first working automation. Make takes a weekend to learn routers and iterators, and the payoff is worth it. n8n assumes you can read JavaScript and are comfortable around a server; non-technical users will bounce.

App catalog and data control. Zapier’s 9,000+ apps are its real product — if your stack includes a niche tool, check here first. Make’s 3,000+ covers the mainstream. n8n’s 400+ native integrations plus DIY HTTP nodes cover what matters if you’re technical. On data control, n8n is the only one that lets you self-host; Zapier and Make are cloud-only forever.

For teams wiring automations into sales and support stacks, our best AI CRM for small business and Clay vs Apollo guides cover the tools these workflows most often feed.

Final verdict

Choose Zapier if you want the gentlest learning curve and the widest app catalog, and your automation volume is modest enough that per-task pricing doesn’t sting. Freelancers and non-technical teams: this is your pick.

Choose Make if you want the most automation per dollar without hosting anything, and you’re willing to spend a weekend learning the visual canvas. Small businesses with real volume: this is your pick.

Choose n8n if you’re technical, want AI agents inside your workflows, and either self-host for unlimited free executions or pay per whole-run execution instead of per step. Developers and AI builders: this is your pick — and honestly, at scale, it’s the pick for anyone who can keep a server alive.

If your team is still mapping which tools the automations will connect, our best AI data analysis tools for business teams roundup is a useful next read.

How we compared

We scored the three tools on AI feature depth, real per-unit cost at a realistic 10-step workflow running 1,000 times a month, and learning curve for non-developers — weighting cost and AI depth highest, since those are what break most buying decisions in this category. Pricing checked against the vendors’ pricing pages in October 2026; confirm before you buy, since SaaS pricing changes often.

Frequently asked questions