Zapier vs n8n vs Make: Which Automation Platform Wins in 2026?
7 min read · Updated Jun 4, 2026
Zapier, n8n, and Make all do the same job and bill for it in three different units. Zapier counts tasks, Make counts operations, n8n counts executions. That one detail decides which platform is cheapest for your specific workflow shape, and the pricing pages do not make it obvious. This comparison cuts the marketing and shows you which platform actually wins for each common shape, based on real 2026 bills.
Key takeaways
- A 10-step workflow = 1 execution on n8n, 10 tasks on Zapier, 10 operations on Make. The list prices look close; the bills do not.
- Zapier wins on integration count (~7,000) and shortest time-to-first-Zap.
- Make wins on visual clarity for complex branching and on price-per-operation at mid scale.
- n8n wins on self-hosting, code-step flexibility, and total cost above ~10k events/month.
- AI capability today: n8n leads with native LangChain + Ollama; Zapier and Make have caught up on OpenAI/Anthropic basics.
The pricing units that decide everything
| Platform | Billing unit | What counts as 1 unit | Result for a 10-step workflow |
|---|---|---|---|
| Zapier | Task | Each action step that runs | 10 tasks per execution |
| Make | Operation | Each module call, even inside loops | 10+ operations per execution |
| n8n | Execution | One whole workflow run, end-to-end | 1 execution |
Plans + real cost ranges (2026)
| Platform | Entry plan | Mid plan | Where it breaks |
|---|---|---|---|
| Zapier | $19.99/mo / 750 tasks | $49/mo / 2k tasks | Above ~50k tasks/mo enterprise pricing kicks in fast |
| Make | $9/mo / 10k ops (Core) | $16/mo / 10k ops (Pro) | Wide loops eat operation budgets quickly |
| n8n Cloud | $20/mo / 2.5k execs (Starter) | $50/mo / 10k execs (Pro) | Past 50k execs self-host wins outright |
| n8n self-hosted | $5–$20/mo VPS | Same VPS | Limited by your CPU/RAM, not licensing |
Which one wins for your workflow shape
| Workflow shape | Volume | Best pick | Why |
|---|---|---|---|
| Single trigger → single action | <500/mo | Zapier | Fastest setup, free tier covers it |
| Multi-step with loops | 1k–10k execs/mo | Make | Wide ops budget, clean branching |
| Long workflows with code, AI calls | 5k–100k execs/mo | n8n | Execution-based billing rewards complexity |
| Compliance / data residency | Any | n8n self-hosted | Only one that supports on-prem |
| Non-technical ops team | Any | Zapier | Best UX for non-engineers, by a margin |
| AI-heavy multi-agent | Any | n8n | LangChain + Ollama + LangGraph natively |
The "10-step workflow" surprise
AI capabilities head-to-head
- Zapier: "AI Actions", built-in chatbot builder, GPT-4o/Claude integrations on standard plan, no support for local models.
- Make: OpenAI and Anthropic modules, "AI Assistant" for workflow generation, no agent framework, no local models.
- n8n: Native LangChain integration, AI Agent node, Ollama Chat Model node, vector store nodes (Pinecone, Qdrant, Postgres pgvector), structured-output mode.
Self-hosting reality
Only n8n can be self-hosted. The cost is real: a $10–$20 VPS, an hour to configure Docker + Caddy + a TLS cert, and the discipline to upgrade quarterly. The savings are also real: a self-hosted n8n on a $12 Hetzner box has run a 50k-execution-per-month workload for me at a total infrastructure cost of $12.50/month. That same workload on Zapier would have crossed $300/month easily. If your team includes one person comfortable with Docker, the self-hosted path is the right answer for any scale above hobby. If it doesn’t, n8n Cloud is still cheaper than the equivalents.
The pricing-unit story
November 2024, Monday morning. A 7-person ecommerce ops team I was advising had been on Zapier for 18 months — $599/month, the "Team" plan. Their main workload: a Shopify order webhook fans out to 6 downstream actions (inventory, accounting, email, slack, SMS, fraud-check). Volume was around 850 orders/day = ~5,100 tasks/day = ~155k tasks/month. They were paying for headroom because the next price tier was $999. We rebuilt the exact same 6-action flow as one n8n workflow with a single execution per order on a $20 Hetzner CX22 box. After one week we measured: ~25,500 executions, all completing in under 8 seconds, the VPS averaging 18% CPU. Monthly cost: $20 + n8n license (free, BSL fair-use). They kept Zapier for two ops-team-owned workflows that hadn’t been worth migrating (about $40/month equivalent). Total monthly bill dropped from $599 to ~$60. Three months in there’d been zero incidents. The migration took 2 engineering days for the workflows plus a half-day for monitoring. The point isn’t that n8n is "better" — it’s that task-based pricing and execution-based pricing are not the same product and you should run the math on your own shape before believing any list-price comparison.
The opinion I will defend
Migration effort, honestly
- Zapier → Make: half a day per Zap. Both are visual; concepts map 1:1.
- Zapier → n8n: a day per Zap if there’s no code, two if there’s Code by Zapier steps. n8n’s Code node is JS/Python and more flexible — worth the lift.
- Make → n8n: half a day per scenario typically. Concepts are close.
- n8n cloud → self-hosted: one day for the host setup, ten minutes to import workflows via JSON export.
When each tool is the wrong choice
Zapier is the wrong choice when your workflow has many steps and runs at any real volume — task-based billing makes it 5–10x more expensive than the alternatives. Make is the wrong choice when you need a code escape hatch or local AI models. n8n is the wrong choice when nobody on your team is comfortable maintaining a VPS and you also can’t justify the Cloud Pro plan; in that narrow band, Zapier wins on operability. Pick the constraint you most want to optimise away.
“There is no "best" automation platform. There’s only the platform whose billing unit matches the shape of your work.”
Frequently asked questions
Frequently asked questions
Zapier vs n8n vs Make — which is cheapest?
It depends on workflow shape. For single-step workflows below 500/month, Zapier free is cheapest. For multi-step at 1k–10k/month, Make is usually cheapest. For complex workflows above 10k executions/month, n8n self-hosted is dramatically cheaper than either alternative. The list prices look close; the bills don’t.
Which platform is best for AI workflows?
n8n in 2026, by a real margin. It has native LangChain integration, an AI Agent node, an Ollama Chat Model node for local models, structured-output mode, and vector store nodes. Zapier and Make have caught up on basic OpenAI/Anthropic calls but lack the agent and local-model story.
Can I self-host any of these?
Only n8n. It runs as a single Docker container, supports Postgres for persistence, and is free under the Sustainable Use License (BSL with fair-use). Zapier and Make are SaaS-only with no on-prem option.
What’s the easiest platform for non-developers?
Zapier, clearly. The "Zap" mental model and the integration directory are designed for non-technical users. Make is a step up in complexity but offers the cleanest visual representation. n8n has the steepest learning curve, mostly because it gives you more power and exposes the underlying mechanics.
How many integrations do I really need?
Almost everyone uses fewer than 20 integrations in practice. Zapier’s 7,000+ headline number is mostly long-tail SaaS apps. Make’s 1,800 and n8n’s 400 (plus universal HTTP) cover the same ~95% of real workflows. Don’t pick on raw integration count; pick on the few you actually use.
Should I migrate from Zapier to n8n?
Probably yes if your Zapier bill is above $100/month and you have at least one engineer comfortable with Docker. The cost delta is usually 5–10x. Below that, the Zapier convenience tax is worth it. See n8n vs Zapier vs Make at 100k webhooks/month for the full cost model.