Zapier vs Make vs n8n 2026: Best Automation Tool Compared

If you have spent any time researching workflow automation, you have run into the same three names again and again: Zapier, Make, and n8n. The Zapier vs Make vs n8n debate has become the central question for anyone who wants to connect their apps, automate repetitive busywork, and build AI-powered workflows without hiring a developer. All three are excellent platforms, but they are built for very different people, and picking the wrong one can cost you hundreds of dollars a year or weeks of frustration.

In this guide we compare Zapier, Make, and n8n head to head on pricing, ease of use, integrations, AI features, and the kind of person each one is actually built for. We also look at three strong alternatives worth knowing about. By the end you will know exactly which automation tool fits your skills, your budget, and the workflows you want to build in 2026.

Last updated 13 September 2026. Every price and plan detail below was re-checked against the vendor public pricing page on that date.

Zapier vs Make vs n8n: The Quick Verdict

If you want the short answer before diving into the details, here is how the three break down. Choose Zapier if you value simplicity and the widest possible app library, and you do not mind paying a premium for polish. Choose Make if you want a visual, drag-and-drop canvas for building genuinely complex multi-step workflows at a much lower price per action. Choose n8n if you are technical (or have someone who is), want to self-host for near-zero cost, and need the freedom to run custom code and AI agents without per-task limits.

None of these is objectively “best.” The right pick depends entirely on your comfort with technology, the complexity of what you are automating, and how much volume you expect to run each month. Let’s get into why.

How We Compared These Automation Tools

To keep this fair, we evaluated each platform on five criteria that matter most to real users: how easy it is to get started, the size and quality of its integration library, how it handles complex logic and AI, its real-world pricing at scale, and the level of technical skill it assumes. We pulled pricing directly from each vendor public pricing page on 13 September 2026 and weighed it against what you actually get; every figure below reflects that check. If you are brand new to automation, you may want to start with our beginner-friendly walkthrough on how to build an AI workflow without code before committing to a platform.

Zapier: Best for Beginners and Sheer Breadth of Apps

Zapier is the household name in automation, and for good reason. It connects more apps than any competitor—more than 9,000 integrations—and its trigger-and-action model is about as approachable as automation gets. You pick a trigger (“new Stripe payment”), add actions (“look up the customer, send a Slack message, add a row to Google Sheets”), and Zapier handles the rest. There is no canvas to learn and very little jargon. For non-technical founders, marketers, and small teams, it is often the fastest path from idea to working automation.

The catch is cost. Zapier charges per task, where each action step counts as one task. The free plan includes just 100 tasks per month. The Professional plan starts at $19.99/month billed annually (or $29.99 month-to-month) for 750 tasks, which works out to roughly $0.04 per task. The Team plan now starts at $69/month and adds shared Zaps, shared app connections, SSO and up to 25 users. Because a single workflow can burn three or four tasks per run, heavy users can hit their limits quickly. Zapier has also brought AI steps, code steps and SDK calls under the same task-based meter, so the AI portions of a workflow now draw down the same allowance as every other step. That makes the maths simpler, but it also means an AI-heavy Zap burns through a plan faster than its step count alone suggests.

Pros: The easiest learning curve, the largest app catalog by far, reliable execution, and excellent documentation and templates. Cons: The most expensive option at scale, the per-task model punishes multi-step workflows, and advanced logic is more limited than Make or n8n. Zapier is the right call when your priority is getting something working today and the specific niche app you need is more likely to be supported here than anywhere else.

Make: Best for Visual, Complex Workflows on a Budget

Make (formerly Integromat) takes a different approach. Instead of a linear list of steps, you build automations on a visual canvas where each app is a circle and data flows along connecting lines. This makes it far easier to see and design complicated workflows with branching logic, loops, routers, and filters. Once you get comfortable with the canvas, Make is dramatically more powerful than Zapier for anything beyond the simplest “if this, then that” automation.

Make is also much cheaper. Its pricing is based on credits (formerly called operations), and the math is generous: the Free plan includes 1,000 credits/month, the Core plan is $12/month for 10,000 credits with unlimited active scenarios, the Pro plan is $21/month at the same credit tier and adds priority execution, custom variables and full-text execution log search, and the Teams plan is $38/month with team roles and shareable scenario templates. Because most steps cost a single credit, you can run far more automation for your money than on Zapier. Make has also moved aggressively into agents with Maia, a conversational builder that assembles scenarios and AI agents from a plain-language description rather than from a blank canvas.

Pros: Outstanding price-to-power ratio, a visual builder that excels at complex logic, 3,000+ integrations, and flexible scheduling down to one-minute intervals. Cons: A steeper learning curve than Zapier, AI features and code steps consume credits faster than standard modules, and the app library, while large, is smaller than Zapier’s. Make hits the sweet spot for users who have outgrown basic automations but do not want to touch code.

n8n: Best for Developers, Self-Hosting, and AI Agents

n8n (pronounced “n-eight-n”) is the choice for technical users who want maximum control. It is source-available, which means you can self-host the Community Edition for free and run unlimited workflows and executions—you only pay for the server, which can be as little as $3 to $7 a month on a basic VPS. That single fact makes n8n the cheapest serious option for high-volume automation, and it keeps your data entirely under your own control.

n8n also shines for AI. It has first-class support for building AI agents, chaining multiple models, and dropping in custom JavaScript or Python whenever the no-code nodes are not enough. If you are exploring this space, our explainer on what AI agents are and why they matter pairs well with n8n’s agent features. For those who prefer managed hosting, n8n Cloud is now priced in dollars: $20/month for 2,500 executions (Starter), $50/month for 10,000 executions (Pro) and $800/month for Business at 40,000 executions, all billed annually, with monthly billing roughly 17% higher. Every plan includes unlimited users and unlimited workflows, so you only ever pay for executions, and one execution covers a whole workflow run no matter how many steps it contains. The cloud plans now bundle AI credits too, from 2,300 a month on Starter up to 13,700 a month on Pro.

Pros: Effectively free when self-hosted, no per-task pricing, unlimited workflows, deep AI and code support, and full data ownership. Cons: The steepest learning curve of the three, self-hosting requires technical maintenance, and the integration library (around 2,200 nodes) is still well short of Zapier. n8n rewards technical teams with unbeatable flexibility and cost—but it asks for technical skill in return.

Three More Automation Tools Worth Considering

Zapier, Make, and n8n dominate the conversation, but the automation space has grown fast. Here are three alternatives that solve specific problems better than the big three.

Pipedream — Developer-First with a Generous Free Tier

Pipedream is built for developers who want to connect APIs and run real code (Node.js, Python, Go, or Bash) inside their workflows. Pipedream reworked its pricing in 2026, and the allowances are now monthly rather than daily: the free plan includes 100 credits a month, three active workflows, three connected accounts and 1M AI tokens; Basic is $29/month with 2,000 credits included; and Advanced is $49/month with unlimited workflows, unlimited connected accounts, premium apps and control-flow operators. The free tier is no longer the near-unlimited playground it once was, since three active workflows goes quickly, but for developers the paid tiers are still inexpensive for the amount of raw code execution you get.

Gumloop — AI-Native Automation

Gumloop was designed from the ground up around AI. Instead of bolting AI onto a traditional automation tool, it treats AI nodes—web scraping, document parsing, image analysis, multi-model chaining—as first-class building blocks. Gumloop has since simplified to two published plans: Pro, starting at $37/month with 20,000 credits a month, unlimited agents, unlimited seats, access to 35+ models and an 8% orchestration fee on usage; and Enterprise on custom pricing with VPC deployment, SSO and role-based access control. There is a 14-day free trial rather than a standing free tier, so it is worth scoping your workflows before the clock starts. If your workflows are heavy on AI decision-making, Gumloop deserves a look.

Activepieces — Open-Source and Self-Hostable

Activepieces is an open-source (MIT-licensed) Zapier alternative that you can self-host for free with unlimited flows and executions. Its free tier now includes 100 credits a day with unlimited flows; the Plus plan is $16/month billed yearly for 10,000 credits a month and up to five users, and the Team plan is $166/month for 50,000 credits and 25 users. Every plan costs the same whether you run it on Activepieces cloud or your own servers. The detail that matters most: one credit covers an entire run however many steps it contains, so a ten-step flow costs exactly what a one-step flow costs. It is a strong middle ground for teams that want open-source freedom with a friendlier interface than n8n.

Zapier vs Make vs n8n: Pricing Compared

Pricing is where the three platforms diverge most sharply, so here is a side-by-side look at their entry points and pricing models. Remember that Zapier counts tasks (action steps), Make counts credits (mostly one per step), and n8n counts executions (one per full workflow run), which makes n8n and Make far more economical for multi-step or high-volume automation.

Platform	Free Plan	Entry Paid Plan	Pricing Model	Best For
Zapier	100 tasks/mo	$19.99/mo (750 tasks, annual)	Per task (action step)	Beginners, max app coverage
Make	1,000 credits/mo	$12/mo (10,000 credits)	Per credit (per step)	Visual complex workflows
n8n	Free self-hosted (unlimited)	$20/mo cloud (2,500 executions, annual)	Per execution / self-host	Developers, AI, self-hosting
Pipedream	100 credits/mo, 3 workflows	$29/mo (2,000 credits/mo)	Per credit (compute)	Developers, code-heavy flows
Gumloop	14-day trial	$37/mo (Pro, 20,000 credits)	Per credit + 8% orchestration fee	AI-native workflows
Activepieces	100 credits/day	$16/mo (10,000 credits, annual)	Per credit (one per whole run)	Open-source teams

The pattern is clear: Zapier is the most expensive at scale, Make offers the best value for no-code users, and n8n is unbeatable on cost if you can self-host. For a wider survey of options beyond these, see our roundup of the best no-code workflow automation tools.

What Changed Since We First Published This Comparison

Automation pricing moves faster than almost any other software category, and five of the six platforms here have repriced or restructured since this guide first ran. Here is what shifted, as of our 13 September 2026 check.

• Zapier now lists more than 9,000 app integrations, the Team plan starts at $69/month, and AI steps, code steps and SDK calls have been folded into the same task-based meter as every other step.
• Make raised its entry pricing to $12/month for 10,000 credits ($21 Pro, $38 Teams) and launched Maia, a conversational builder for scenarios and AI agents.
• n8n moved cloud billing to US dollars at $20 Starter, $50 Pro and $800 Business, bundled AI credits into the cloud plans, and grew its node library past 2,100 integrations.
• Pipedream switched its credit allowances from daily to monthly and capped the free plan at three active workflows and three connected accounts. This is the biggest free-tier downgrade among the six.
• Gumloop dropped its standing free tier in favour of a 14-day trial and consolidated to one $37/month Pro plan with 20,000 credits and an 8% orchestration fee.
• Activepieces cut its entry plan to $16/month billed yearly and now charges one credit per whole run regardless of step count, with cloud and self-hosted priced identically.

Which Automation Tool Should You Choose?

After comparing all six platforms, our recommendations come down to who you are and what you are building.

Choose Zapier if you are non-technical, you want the absolute easiest experience, and you rely on a niche app that may only be supported here. The premium is worth it when your time is more valuable than the subscription fee and you just need things to work.

Choose Make if you are comfortable learning a visual builder and you want the best balance of power and price. For most small businesses and creators who are ready to build genuinely useful multi-step automations, Make is the smartest all-around pick in 2026. If you run a lean operation, our guide to AI automation tools that save small businesses hours every week shows what is possible.

Choose n8n if you or someone on your team is technical, you want to self-host for near-zero cost, and you plan to build AI agents or run high volumes. It demands more upfront effort but pays you back with unmatched flexibility and the lowest long-term cost.

Whichever you choose, the best approach is to start on the free tier, build one real workflow that solves an actual problem, and only upgrade once you have proven the value. Automation compounds: the first workflow saves you an hour, but the tenth changes how your whole operation runs.

Frequently Asked Questions