What it is: A 2026 head-to-head of the three biggest workflow automation platforms — Zapier, Make, and n8n. Verified pricing, the critical billing-model differences, integration counts, and a decision framework by team size and use case.
Who it is for: Founders, ops people, marketers, and developers picking the right automation platform for their stack — or considering a switch as workflows grow.
Best if: You want to know which platform will be cheapest at your actual volume, and which one fits your skill level.
Skip if: You only want AI chat tools — see ChatGPT vs Claude. Get one automation tool launch summarized every morning in our free daily newsletter.
1-on-1 Coaching
Claude AI Crash Course
1-hour private video session with James. Pick a real workflow you want to automate — lead enrichment, customer onboarding, content distribution — and we build it together with Zapier, Make, or n8n plus Claude. You leave with a deployed automation you can extend.
Group Format
AI Workshops for Operations & Automation Teams
Team-format workshops for ops, RevOps, and engineering teams adopting AI-powered automation. Covers Zapier, Make, n8n, and pattern selection. Best for 3+ team members.
Which automation tool wins for each job?
| Job | Best platform in 2026 |
|---|---|
| Quickest setup for a non-technical user | Zapier — easiest on-ramp, biggest app catalog |
| Visual multi-step workflows with branching | Make — best visual editor |
| High-volume workflows with many steps | n8n — per-execution billing is dramatically cheaper |
| Self-hosted for compliance / data residency | n8n — only one of the three that self-hosts |
| Maximum integration coverage | Zapier — 7,000+ apps, biggest library |
| Best free tier for testing | Make — 1,000 operations/mo + 2 scenarios |
| AI-heavy workflows with LLM calls | n8n or Make — both ship strong AI nodes |
| Team-scale ops with permissions and approvals | Zapier Team or Make Teams |
| Developer-first: code in JavaScript or Python | n8n — Function nodes are first-class |
| Cheapest at 100k+ monthly executions | n8n self-hosted — server cost only |
What’s the bottom line on Zapier vs Make vs n8n?
The headline question is not which tool is best — it is which billing model fits your workflows. Zapier charges per task (each step), Make charges per operation (each module action), n8n charges per workflow execution (the whole thing, regardless of step count). For low-volume single-step automations, all three are affordable. For high-volume multi-step pipelines, the gap is enormous: a 10-step workflow run 10,000 times per month costs ~$10–$50 on n8n and $250–$400+ on Zapier.
For non-technical users with simple Zapier-style chains and modest volume, Zapier is still the cleanest pick. For visual workflow builders who want power without code, Make is the right middle. For developers, technical operators, and anyone hitting the per-task ceiling on the others, n8n — especially self-hosted — is the answer.
What are the key takeaways?
- Billing models are the biggest difference. Zapier per-task, Make per-operation, n8n per-execution. At scale, the gap between them dwarfs everything else.
- Zapier wins on integrations and onboarding. 7,000+ apps, the most polished templates, and the easiest first-workflow experience. Non-technical teams ramp fastest here.
- Make wins on visual workflows. The canvas-style editor is the most expressive of the three for branching, looping, and error handling. Mid-complexity ops live happily on Make.
- n8n wins on power and economics. Per-execution billing, JavaScript and Python Function nodes, self-hosting option, and a fair-code license that lets you run it in your own infrastructure.
- AI nodes are now standard on all three. Every platform ships LLM calls, vector databases, agent loops. The differences in 2026 are about pricing at AI scale, not capability availability.
- Stack tier matters more than platform. Free tiers are real on all three but quickly hit limits in production. Plan your migration path before you hit the wall.
How much do Zapier, Make, and n8n cost in 2026?
| Tier | Zapier | Make | n8n |
|---|---|---|---|
| Free | $0 — 100 tasks/mo, single-step Zaps | $0 — 1,000 operations/mo + 2 scenarios | Self-hosted free; Cloud trial |
| Entry paid | Professional $19.99/mo | Core $9/mo (10,000 ops) | Cloud Starter ~$20/mo |
| Mid tier | Team $69/mo (multi-user, premium apps) | Pro $16/mo + Teams $29/user/mo | Pro Cloud $50/mo |
| Scale tier | ~$300/mo for 10K tasks; $800+/mo for 100K | Scales linearly with operations | Per-execution at scale; self-host is constant cost |
| Enterprise | Custom | Enterprise — custom | Enterprise — custom |
| Self-host | — | — | Yes (fair-code license) |
| Billing unit | Task (per step) | Operation (per module) | Workflow execution (whole flow) |
| App / integration count | 7,000+ | ~2,000 | 500+ native + HTTP/API to anything |
For a concrete pricing comparison, here is the same workload across all three platforms: a 10-step workflow that runs 10,000 times per month (typical for a mid-size e-commerce or content ops pipeline).
- Zapier: 10 tasks × 10,000 runs = 100,000 tasks/month. Quoted plans land in $300–$800+/month territory. Custom enterprise needed for predictable cost.
- Make: 10 operations × 10,000 runs = 100,000 operations/month. Significantly cheaper than Zapier at the same volume; typically ~$100–$200/month depending on plan tier.
- n8n Cloud Pro: 10,000 workflow executions/month — comfortably inside the $50/month Pro tier.
- n8n self-hosted: Same workload runs on a $10–$15/month VPS. Limited by server, not seat-tier.
This is why high-volume teams migrate from Zapier to n8n as workflows grow. The Zapier and Make experience is better for non-technical users, but the cost curve at scale forces a decision.
Why is Zapier the easiest on-ramp?
Zapier is the platform for non-technical users. The interface is built around chains (Zaps), each starting with a trigger and ending with one or more actions. The library of 7,000+ apps is the broadest in the category — virtually any SaaS tool you use has a Zapier integration with templates.
Strengths: onboarding is the fastest in the category. Templates for common workflows (form → email, calendar → Slack, lead → CRM) make first-Zap setup a 5-minute job. AI features in 2026 include Zapier Agents (multi-step AI assistants), Tables (lightweight database), and natural-language Zap creation. The Professional plan at $19.99/month is a real productivity unlock for small teams.
Weakness: per-task billing is brutal at scale. Every step in every workflow counts. Multi-step workflows that run hundreds or thousands of times daily turn into surprisingly large monthly bills. For workflows beyond a few thousand executions, plan a migration path before signing the annual contract.
Why is Make the visual workshop?
Make (formerly Integromat) is the visual workflow builder. Scenarios are built on a canvas with modules wired together — branching, looping, error handling, aggregator/iterator pairs are all native, not bolted on. For workflows that are too complex for Zapier’s linear chains but where you do not want to write code, Make is the right tool.
Strengths: visual clarity for multi-branch logic. Operation pricing is cheaper than Zapier’s task pricing at equivalent volumes. Built-in functions for data transformation are extensive (date math, regex, array manipulation) without leaving the canvas. Make AI nodes handle LLM calls, structured outputs, and agent loops.
Weakness: steeper learning curve than Zapier. The canvas metaphor confuses some new users at first. Smaller app catalog than Zapier (~2,000 vs 7,000+) means some niche integrations require HTTP calls. No self-hosting — cloud only.
Why is n8n the open-source power tool?
n8n (pronounced like nodemation) is the developer-first platform. The fair-code license lets you run it on your own infrastructure for free — server costs only. The cloud version starts at ~$20/month and scales by workflow executions, not tasks or operations.
Strengths: per-execution billing means a 50-step workflow costs the same as a 2-step workflow. Function nodes let you drop in JavaScript or Python anywhere in a workflow. Self-hosting solves data residency, compliance, and unlimited-volume constraints in one move. AI agent nodes in 2026 ship with native MCP support, vector databases, and structured outputs.
Weakness: steeper onboarding than Zapier or Make. Workflows expect more technical fluency, even when you do not write code. Smaller native integration count (~500) than Zapier — though the HTTP request node and growing community-built node ecosystem fill many gaps. Self-hosting requires server admin; not a feature for non-technical teams.
How do AI workflows compare across the three in 2026?
All three platforms now ship strong AI capabilities. The differences are about pricing and depth, not whether the feature exists.
- Zapier: Agents (multi-step AI workflows), Tables, Interfaces, and native nodes for OpenAI, Anthropic, Google, and Perplexity. Easy to wire AI into existing Zaps. Most expensive at AI scale because each LLM call is a task.
- Make: Native nodes for major LLM providers, vector databases (Pinecone, Qdrant), and the Make AI Agents module. Operation pricing makes high-volume AI work more affordable than Zapier.
- n8n: AI Agent nodes with native MCP support, memory modules, vector store nodes, and Function nodes for custom logic. Per-execution billing plus self-hosting option make this the cheapest place to run high-volume AI workflows. The choice for production AI ops at scale in 2026.
For teams building agent-driven products, n8n self-hosted is increasingly the operational backbone — easy to spin up, cheap to scale, easy to self-audit when an agent does something unexpected.
What features do Zapier, Make, and n8n offer?
| Feature | Zapier | Make | n8n |
|---|---|---|---|
| Free tier | 100 tasks/mo | 1,000 ops/mo + 2 scenarios | Self-hosted free |
| Starting paid tier | Professional $19.99/mo | Core $9/mo | Cloud Starter ~$20/mo |
| Billing unit | Task (per step) | Operation (per module) | Workflow execution |
| Native integrations | 7,000+ | ~2,000 | 500+ + community + HTTP |
| Self-hosting | — | — | Yes (fair-code) |
| Code in workflows | Limited Code by Zapier | Tools module | Function nodes (JS/Python) |
| AI agent nodes | Zapier Agents | Make AI Agents | n8n AI Agent (MCP-aware) |
| Vector DB support | Via integration | Pinecone, Qdrant native | Pinecone, Qdrant, Supabase native |
| Visual canvas | Linear list | Visual canvas (best) | Visual canvas |
| Error handling | Basic retry | Strong (per-module) | Strong (per-node + try/catch) |
| Webhooks | Yes | Yes | Yes (first-class) |
| Scheduling / cron | Yes | Yes | Yes |
| Team collaboration | Yes (Team $69/mo) | Yes (Teams $29/user) | Yes (Enterprise) |
| SOC 2 / compliance | SOC 2 Type II | SOC 2 + ISO | SOC 2 + self-host for data residency |
Which tool is best for each role?
Solopreneurs and small businesses
Start with Zapier Professional ($19.99/mo). The friction-free onboarding and biggest app catalog mean you get to value fastest. Migrate to n8n or Make later if your volume grows past the per-task pricing wall.
Marketing and ops teams
Make Pro or Teams. The visual canvas handles content calendars, lead enrichment, multi-step CRM workflows, and reporting pipelines well. Cheaper than Zapier at equivalent volumes; less developer overhead than n8n.
Developers and technical ops
n8n self-hosted or Cloud Pro. Function nodes, per-execution billing, self-hosting, and MCP support make this the right platform for engineers who automate complex workflows. The savings compound as volume grows.
High-volume e-commerce
n8n self-hosted or Make Pro/Teams. Order processing, inventory sync, abandoned cart recovery, review aggregation — multi-step workflows running thousands of times daily. Zapier’s per-task billing becomes prohibitive fast at this scale.
Compliance-sensitive industries
n8n self-hosted (or enterprise tier on any platform with appropriate DPA). Healthcare, financial services, legal — data residency and audit requirements often make self-hosting the only viable option. Make and Zapier offer enterprise tiers but the data still lives in their cloud.
AI agent builders
n8n primarily, with Make as a strong secondary. Per-execution billing keeps the cost of high-volume agent workflows manageable. MCP support and native vector DB nodes make n8n the operational layer for many 2026 AI products. See how solo automators build with these tools.
How do you choose between Zapier, Make, and n8n?
- How technical is your team? Not technical → Zapier. Comfortable with visual logic → Make. Developers + ops people → n8n. This filters most of the answer.
- How many workflow runs per month do you expect at peak? Under 5,000 → any platform works. 5K–50K → Make or n8n Cloud. 50K+ → n8n (Cloud Pro or self-host).
- Do you have data residency or self-host requirements? Yes → n8n (only platform that self-hosts). No → pick by question 1.
How do you migrate between Zapier, Make, and n8n?
Most teams start on one platform and move to another as needs change. Three common migration paths in 2026:
- Zapier → Make. When per-task billing hits the wall on multi-step workflows but you still want a no-code visual editor. Workflows port reasonably well; many integrations are direct equivalents.
- Make → n8n. When you need self-hosting, want code in workflows, or need per-execution billing for high-volume ops. The mental model is similar; the technical bar is higher.
- Zapier → n8n self-hosted. The cost-saving migration. Teams running 50K+ tasks/month on Zapier can save thousands by hosting n8n on a small VPS. Rebuild required, but the payback is fast.
Pro tip: when you build the first workflow on a new platform, build it parallel to the production one on the old platform. Verify behavior matches, then switch the trigger. Migrations done as side-by-side comparisons fail less often than rip-and-replace migrations.
What are the limits and trade-offs of each?
- Pricing tiers change. All three platforms have adjusted plans in 2026. The figures here are accurate at time of writing; verify before signing an annual contract.
- Free tiers throttle. All three have unpredictable behavior at the free tier limits — workflows can queue or fail. For anything important, get on a paid tier.
- App integration count is misleading. Zapier’s 7,000+ apps include many low-quality, low-usage integrations. The 200 apps you actually use are well supported on all three platforms.
- Self-hosting n8n requires actual ops. Patching, scaling, backup, monitoring, security — all on you. For small teams without ops expertise, n8n Cloud is the better path even if it costs more.
- AI workflow costs are about model tokens, not just platform tasks. A workflow making 10K Claude Opus 4.7 calls/month racks up Anthropic API charges that dwarf the automation platform cost. Plan for both.
- Lock-in is real-ish. Workflows do not export 1:1 between platforms. Migrations take real time. Pick with that in mind.
Frequently asked questions
Which is cheapest in 2026?
n8n self-hosted is cheapest at any non-trivial volume. n8n Cloud Pro is cheapest among managed options for multi-step workflows. Zapier Free or Make Free is cheapest for low-volume single-step workflows. For anything between, run the numbers on your specific workload before committing.
Can n8n really run on a $10 VPS?
Yes, for modest volume. A small Hetzner, DigitalOcean, or AWS Lightsail instance ($5–$15/month) handles thousands of workflow executions per day comfortably. Heavy AI workloads or many concurrent webhooks need more — but compared to Zapier Team at $69/month for far less throughput, the math is dramatic.
Is Make as good as Zapier for non-technical users?
Almost. The learning curve is slightly steeper because the visual canvas takes some getting used to. After the first week, most users prefer Make’s interface for any workflow beyond a simple 2–3-step chain. If you only ever need linear chains, Zapier stays the easier pick.
Which is best for AI agent workflows?
n8n in 2026 is the most agent-friendly platform — native MCP support, agent memory modules, vector DB nodes, and per-execution billing that scales well. Make is a strong second with its own AI Agents module. Zapier’s Agents work but the per-task billing hurts at agent scale.
Can I run all three for different workflows?
Yes, and some teams do. Zapier for simple onboarding-style chains the founder runs personally; Make for marketing ops; n8n for production data pipelines and agents. The combined cost is usually still lower than running everything on Zapier at scale.
What about Lindy, Pipedream, or other competitors?
Lindy is a stronger AI-first competitor that has grown fast in 2026. Pipedream is the developer-focused alternative with a free tier that is generous for solo developers. For most teams, the Zapier / Make / n8n triangle still covers 90%+ of use cases. We may add a dedicated comparison of the newcomers in a future post — track our daily newsletter for the announcement.
What is the final verdict on Zapier vs Make vs n8n?
Zapier if you are non-technical and your volume is modest. Fastest to value, biggest app catalog, easiest team rollout. Costs scale brutally with multi-step volume — plan a migration path before you hit it.
Make if you want visual workflows with branching and looping, you are comfortable learning a canvas-based editor, and you want better economics than Zapier at scale. The right middle for ops and marketing teams.
n8n if you have any technical fluency, run high-volume or AI-heavy workflows, or need self-hosting. Per-execution billing plus optional self-hosting makes it dramatically cheaper at scale and operationally cleaner for production AI ops.
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Sources
- Zapier pricing — verified May 2026
- Make pricing — verified May 2026
- n8n pricing — verified May 2026
- n8n documentation
- Make help center
- Zapier help center