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

There is no universal winner. Zapier, Make, and n8n serve three fundamentally different buyers. Zapier is built for business users who need something working in 10 minutes. Make is built for operations teams who need visual branching scenarios. n8n is built for technical teams who need code, APIs, self-hosting, and execution-based pricing that doesn’t multiply with every workflow step.

“The best automation platform for your team is the one that makes real workflows understandable after the first build not the one with the flashiest feature page.”

The choice is about workflow ownership. Who builds? Who debugs? Who responds when a webhook fails at 2 AM or when a credential expires silently? Answer those three questions honestly before reading pricing pages.

The 30-Second Verdict

If you…	Pick
Need the most integrations, fastest setup, and non-technical builders	Zapier
Need visual branching, routers, filters, and operations-heavy workflows	Make
Need custom code, self-hosting, API flexibility, and predictable execution pricing	n8n
Are a marketing/sales team with mainstream SaaS tools	Zapier
Are an operations team processing and transforming data	Make
Are developers or technical operators building internal tools	n8n
Care about predictable billing at high volume	n8n
Want built-in AI agents with no-code configuration	Zapier or Make

Pricing Models: The Math That Actually Matters

These three tools bill on completely different units. Comparing sticker prices directly is a mistake.

Zapier charges per task. A task is any successful action a Zap performs. Triggers don’t count. Filter steps, Formatter, and Path nodes don’t count. But every action step that successfully moves data? That’s one task. A 6-step Zap running 5,000 times per month can burn 30,000 tasks.

Zapier’s current pricing (May 2026):

Free: 100 tasks/month, two-step Zaps only
Professional: from $19.99/month (billed annually), multi-step Zaps, webhooks, premium apps
Team: from $69/month (billed annually), 25 users, shared app connections, SAML SSO
Enterprise: custom pricing, unlimited users, VPC Peering, observability, annual task limits

Make charges per credit. Each credit equals one module action in a scenario adding a Google Sheets row, fetching Gmail data, calling an API. One trigger returning 50 records that each pass through 4 modules? That’s 200 credits in a single run. Bundle multiplication is the hidden cost most new Make users discover the hard way.

Make’s current pricing (May 2026):

Free: 1,000 credits/month, 2 active scenarios, 15-min minimum interval, 5 MB max file size
Pro: from $9/month (5K credits), unlimited scenarios, 1-min interval, 40-min max execution, priority execution
Enterprise: custom pricing, SSO, on-prem agent, 1,000 MB files, 60-day log retention, Make Grid for observability

n8n charges per workflow execution. A single execution is one complete run of a workflow, regardless of how many steps it contains or how much data it processes. A 30-step workflow that transforms data, calls three APIs, enriches records, and posts to Slack? Still one execution. This is the fundamental pricing advantage for complex automations.

n8n’s current pricing (May 2026):

Community Edition: free, self-hosted, on GitHub (189,970+ stars)
Starter: �20/month (2,500 executions), 5 concurrent, 1 shared project, forum support
Pro: �50/month (10,000 executions), 20 concurrent, 3 projects, workflow history, admin roles
Business: �667/month (40,000 executions), SSO/SAML/LDAP, Git version control, environments, 6 projects
Enterprise: custom, unlimited projects, 200+ concurrent executions, 365-day log retention, dedicated SLA support

Self-hosting n8n is free, but not cheap. A properly maintained Enterprise n8n deployment needs infrastructure (servers, monitoring, backups, disaster recovery), personnel (at least one engineer for scaling/upgrades/CI/CD), and ongoing work (security patches, API maintenance, compliance documentation). Estimate $150K-$300K annually for a serious enterprise setup.

Real Integration Counts (May 2026)

Numbers pulled directly from each vendor’s integration directory:

Zapier: 9,000+ apps the largest ecosystem by a wide margin
Make: 3,492 apps strong breadth, especially for operations and enterprise tools
n8n: 1,792 integrations fewer native connectors, but HTTP Request node connects to any REST API

A larger integration count does not automatically make a platform better. What matters is whether your specific apps are supported with deep, maintained integrations. There’s also the quality question: Zapier’s integrations are mostly first-party or partner-maintained. n8n’s community nodes vary in quality. Make’s catalog includes both verified and community-built apps.

All three platforms let you make custom HTTP requests to any API. The difference is friction:

Zapier: custom requests via Webhooks action (premium, paid-plan only)
Make: HTTP modules with authentication helper (available on all plans)
n8n: HTTP Request node with cURL import, no paywall, and you can write custom nodes for self-hosted instances

Feature-by-Feature Comparison Table

Feature	Zapier	Make	n8n
Pricing model	Per task (action)	Per credit (module run)	Per workflow execution
Integration count	9,000+	3,492	1,792
Self-hosting	No	No	Yes (Community Edition free)
Code in workflows	JS/Python (Code by Zapier, limited)	JS/Python (Code app, 2 credits/sec)	JS/Python (Code node, npm libs on self-host)
Visual branching	Limited (Paths)	Strong (Routers, filters, visual scenario)	Strong (node-based, branching, merging)
AI agents	Native (Agents, Copilot, Chatbots, MCP)	AI Agents (beta), MCP Server, AI Toolkit	LangChain nodes (~70+), AI agents, RAG
Error handling	Basic error steps per Zap	Advanced (Ignore, Resume, Rollback, Commit, Break)	Error workflows (dedicated, reusable)
SSO	Team plan (SAML)	Enterprise plan	Business plan (SAML/LDAP)
Version control	Zap version history	Not built-in	Git integration (Business+)
User management	Team plan (25 users), Enterprise unlimited	Pro plan (teams, roles), Enterprise advanced	All plans (unlimited users), Pro+ (RBAC)
Free tier	100 tasks/month	1,000 credits/month	Community self-hosted (free)
Templates	Extensive library	Templates library	9,500+ workflow templates

Who Should Use Zapier

Zapier is the right tool when speed-to-automation matters more than per-task cost. It has the most integrations, the easiest onboarding, and the lowest barrier to entry for non-technical people.

Best for:

Marketing teams connecting lead forms to CRMs
Sales teams sending Slack alerts on closed deals
Founders automating early-stage operations
Anyone whose workflows are linear: trigger ? action ? action
Teams that want AI Copilot building Zaps from natural language prompts

Zapier’s platform now goes beyond Zaps. The unified plan includes Tables (built-in database), Forms (custom interfaces), MCP (connect AI tools to 9,000+ apps), Canvas (visual process mapping with AI), Agents (autonomous AI helpers), and Chatbots. On the Professional plan ($19.99/month), you get multi-step Zaps, webhooks, premium apps, and AI-powered field enrichment.

The trade-off: Task-based pricing hurts at volume. A 6-action Zap running 50,000 times consumes 300,000 tasks. At Zapier’s mid-tier pricing, that gets expensive fast. Zapier openly states: higher task tiers mean lower cost per task, but you must model your usage first.

Who Should Use Make

Make dominates when workflows branch, filter, route, and transform data visually. Its scenario builder shows the flow of data through modules, making it easier to understand what’s happening at each step compared to Zapier’s linear step list.

Best for:

Operations teams running multi-step data pipelines
Agencies building client reporting automations
RevOps teams routing leads by region, company size, and source
Ecommerce operations transforming order data across systems
Anyone who thinks in visual process maps

Make’s strength is the Router module. One trigger can branch to multiple paths, each with their own filters and actions. For example: new lead arrives ? route by region ? different CRM actions per region ? different notifications per deal size ? log everything. This is Make’s native territory.

Make’s AI capabilities have expanded significantly. The platform now includes Make AI Agents (beta), an MCP Server, AI Toolkit, AI Web Search (beta), and 350+ AI app integrations. The Code App supports JavaScript and Python at 2 credits per second of execution time.

The trade-off: Credit multiplication. If one trigger returns 200 records and each passes through 5 modules, that’s 1,000 credits in a single run. Make’s help center explicitly warns about bundle multiplication. Model your scenarios before committing.

Who Should Use n8n

n8n is the power tool for technical teams that treat automation as infrastructure. It’s the only platform that offers true self-hosting, execution-based pricing, and unrestricted code extensibility.

Best for:

Developers building internal tooling
Technical founders automating backend operations
Automation engineers connecting internal APIs to SaaS tools
Teams with compliance requirements that demand self-hosting or on-prem
High-volume workflows where per-task/per-credit pricing would break the budget

n8n’s execution-based pricing is its unfair advantage. A 30-step workflow that processes complex data, calls multiple APIs, and generates AI-enriched outputs counts as one execution. The same workflow in Zapier could consume 30+ tasks per run. In Make, bundle multiplication could make it hundreds of credits. This is why technical teams with high-volume workflows gravitate toward n8n.

n8n’s AI capabilities are developer-grade. The platform includes ~70 LangChain nodes covering LLM chat models, AI agents (conversational, ReAct, plan-and-execute), RAG with vector stores (Pinecone, Qdrant, Supabase), document loaders, text splitters, embeddings, and custom tools. Self-hosted instances can use any npm library inside Code nodes, including langchain.js.

The trade-off: Technical learning curve. n8n expects you to understand APIs, JSON, webhooks, and basic scripting. The Community Edition is free but requires infrastructure management. Security, patching, backups, and monitoring are on you. The forum has 45,000+ members, but you’ll be doing your own debugging.

AI Capabilities: A New Battleground

All three platforms have gone hard on AI in 2026-2026. Here’s what’s actually shipping:

Zapier: AI Copilot for building Zaps with natural language, AI Agents for autonomous task handling, Zapier MCP for connecting AI tools to 9,000+ apps, AI Chatbots, AI-powered field enrichment in Tables. Claims 800,000 AI tasks automated daily.
Make: AI Agents (beta) with transparent execution, MCP Server, AI Toolkit (built-in LLM tools), AI Web Search (beta), AI Content Extractor for parsing files, 350+ AI app integrations.
n8n: ~70 LangChain nodes for building complete LLM applications, AI agents (conversational, tool-calling, ReAct), RAG pipelines, vector store integrations, AI Workflow Builder (50-1,000 credits depending on plan), and the ability to run n8n workflows as AI agent tools.

For non-technical AI automation: Zapier or Make. Their AI features are pre-built and configurable without code.

For building AI products: n8n. The LangChain integration, custom tool creation, and vector store support let you build production AI backends that would otherwise require dedicated engineering.

Cost Comparison: Model Your Workflows

Here’s a concrete scenario to make the pricing differences tangible:

Workflow: Inbound lead enrichment

Triggers 10,000 times per month via webhook
6 steps: receive lead ? validate email ? enrich with Clearbit API ? score lead ? route to Salesforce or HubSpot ? post to Slack

Zapier: 5 successful actions � 10,000 runs = 50,000 tasks/month. On the Professional plan at a ~$60-70 tier with 50,000 tasks, roughly $60-80/month.

Make: Each webhook payload is 1 credit (trigger module) + 1 credit (validate) + 1 (enrich) + 1 (score) + 1 (route) + 1 (Slack) = 6 credits per run � 10,000 = 60,000 credits/month. At Make’s sliding scale, roughly $50-70/month.

n8n: 10,000 workflow executions regardless of step count. On the Pro plan (�50/month for 10,000 executions), this fits exactly. �50/month.

Now change the scenario: 50,000 runs per month, same 6 steps.

Zapier: 250,000 tasks. Getting expensive.
Make: 300,000 credits. Price climbs fast.
n8n: 50,000 executions. Would need Business plan (�667/month for 40K base + overage) or Enterprise.

The pattern: n8n’s per-execution model wins at high step counts and moderate volume. Zapier wins at simple, low-step workflows. Make wins when you need visual branching but not massive volume.

The Self-Hosting Question

n8n is the only platform offering self-hosting. The Community Edition on GitHub is fully functional and free under a fair-code license (source-available, not OSI open source).

Self-hosting makes sense when:

Compliance requires data to stay on your infrastructure
You need unrestricted custom code (npm libraries, filesystem access)
You’re running extremely high volumes where cloud execution pricing becomes prohibitive
Your team already manages infrastructure and treats automation as a core competency

Self-hosting doesn’t make sense when:

You’re a 5-person team with no DevOps bandwidth
Your workflows connect to cloud SaaS tools (most API calls leave your network anyway)
You want predictable costs without infrastructure surprises
Security compliance is easier to achieve through SOC 2 certified providers than DIY

For most small-to-medium teams, n8n Cloud’s Starter or Pro plans remove the infrastructure burden at a reasonable price.

How to Decide: 10 Questions

Work through these before looking at pricing pages:

Who will build workflows? (Role, not name)
Who maintains them when the builder leaves?
How technical are your builders? (Scale 1-5: 1 = never seen JSON, 5 = writes code daily)
How many times will workflows run per month? (Estimate high)
How many steps per run? (Count every action/module)
Do workflows branch, filter, or process multiple records per trigger?
Does your compliance team require self-hosting or on-prem?
Are your critical apps supported natively?
Do workflows touch PII, customer data, or financial records?
What happens if a critical workflow fails silently for 48 hours?

The Governance Layer Nobody Talks About

Automation tools hold credentials to your CRM, email, spreadsheets, and customer data. They can send messages, update financial records, and trigger customer-facing actions. Treat them as operational infrastructure, not a utility tool.

For enterprise deployments, define:

Who can create workflows
Who can edit production workflows
Which apps can be connected
How credentials are shared (never share passwords directly)
How failures are monitored (dedicated channel, not email)
How workflows are documented (purpose, owner, criticality)
How old workflows are retired (automation rot is real)

Zapier governance: easiest for simple business-user workflows. Team plan includes shared app connections and role-based access. Enterprise adds advanced admin controls, VPC Peering, and observability dashboards.

Make governance: Teams and team roles on Pro+ plans. Make Grid provides holistic observability across scenarios. Enterprise includes SSO, domain claim, audit logs, and on-prem agents for accessing local network apps.

n8n governance: RBAC from Pro tier. Business plan adds SSO, Git version control, separate environments (dev/prod), external secret store integration, and workflow diff. Enterprise adds log streaming to external services (Datadog, etc.) and extended audit capabilities.

Migration: Assume You Cannot Migrate Easily

A Zapier Zap, a Make scenario, and an n8n workflow are fundamentally different objects. They share zero common format. You cannot export a Zap and import it into Make or n8n.

If you’re switching platforms:

Inventory every active workflow. You’ll find more than you think.
Identify owners. Some workflows will be orphaned.
Record monthly volume for each.
Count steps per run.
Rebuild one low-risk workflow first in the new platform.
Run parallel for two weeks.
Compare error rates before decommissioning the old workflow.
The migration labor cost will almost certainly exceed the subscription difference for the first year.

FAQ

Which tool is cheapest?

For simple, low-volume workflows: Zapier Free plan (100 tasks) or Make Free plan (1,000 credits) cost nothing. For complex, high-volume workflows: n8n’s execution-based pricing usually comes out cheapest because it doesn’t multiply by step count or record count.

Which tool has the most integrations?

Zapier (9,000+). Then Make (3,492). Then n8n (1,792). But all three support custom HTTP requests to any REST API.

Can I self-host Zapier or Make?

No. Only n8n offers self-hosting through its Community Edition on GitHub.

Is n8n actually open source?

Technically, no. n8n uses a “fair-code” license (Sustainable Use License). The source code is available on GitHub and you can self-host for free, but it’s not OSI-approved open source. This matters for some enterprise procurement processes.

Which is best for AI automation?

Zapier for no-code AI with business tools. n8n for building custom AI applications with LangChain and vector stores. Make for visual AI workflows with agents and tool orchestration.

What happens when I hit usage limits?

Zapier switches you to pay-per-task billing at 1.25x the base rate, then pauses Zaps at 3x your plan limit. Make stops scenarios when credits are exhausted (Enterprise includes overage protection). n8n continues running workflows but overage charges apply (Business plan: �4,000 for extra 300,000 execution buckets).

Which tool has the best error handling?

Make offers the most granular error handling: Ignore, Resume, Commit, Rollback, and Break handlers on individual modules. n8n supports dedicated error workflows that multiple main workflows can reference. Zapier has basic error steps that notify on failure.

The Bottom Line

Zapier wins when the priority is getting non-technical people building automations today. The integration breadth and onboarding polish are unmatched.

Make wins when operations teams need visual branching, routing, and data transformation that would be painful to debug in a linear step list.

n8n wins when technical teams need control: custom code, self-hosting, execution-based pricing that stays predictable, and the ability to build AI applications that go beyond “connect app A to app B.”

The wrong choice isn’t picking a “bad” tool. The wrong choice is building critical workflows in a platform nobody on the team wants to own.

Sources

n8n Pricing official plans and execution counts
n8n Integrations Directory 1,792 integrations
n8n GitHub Repository 189,970+ stars, Community Edition
Zapier Pricing task tiers and plan features
Zapier Help: Task Usage
Make Pricing credit tiers and plan features
Make Integrations Directory 3,492 apps
Make Help Center: Operations
n8n Blog: Make vs Zapier (and why n8n)
Zapier Blog: Zapier vs n8n (2026)
n8n Alternatives Page
Make AI Agents

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