Zapier vs Make vs n8n (2026): Which Automation Tool Should You Use?
The short version: Zapier is the easiest to use with the most integrations (8,000+) but its per-task billing gets expensive fast. Make gives you cheaper, more powerful visual branching and bills by credits. n8n is the cheapest at scale and the most flexible — you can self-host it and it has the deepest AI-agent support — but it’s built for technical people and bills by execution. All three share one thing: you (or someone technical) still have to build and maintain the automation.
Below: a full comparison table, a section on each tool, and an honest take on when none of the three is the right answer.
At-a-Glance: Zapier vs Make vs n8n
| Zapier | Make | n8n | |
|---|---|---|---|
| Billing unit | Task (per action/step) | Credit (formerly “operations”) | Execution (one full run, any number of steps) |
| Entry paid price | ~$19.99/mo (750 tasks) | ~$12/mo (10,000 credits) | ~€20/mo cloud, or free self-hosted |
| Free tier | 100 tasks/mo | 1,000 credits/mo, 2 scenarios | Unlimited (self-host); paid cloud only |
| Integrations | 8,000+ | 3,000+ | ~400–500 |
| Self-host? | No | No | Yes (Community Edition) |
| AI agents | Zapier Agents + Copilot | Make AI Agents (Feb 2026) | AI Agent node + 70+ AI nodes (n8n 2.0) |
| Learning curve | Lowest | Medium | Steepest (technical) |
| Open source? | No | No | Fair-code (source-available, not OSI) |
| Best for | Non-technical, max integrations, fastest setup | SMB/mid-market, complex visual logic, cheaper | Developers, data sovereignty, high volume, deep AI |
Zapier: the breadth leader, easiest to start
Zapier is the default for a reason. With 8,000+ integrations it connects to more apps than anything else, and its trigger-action builder is the simplest in the category — you can ship a working “new form submission → add row to a sheet → Slack message” Zap in minutes without reading docs.
The catch is the billing unit: the task. Every action step in a Zap consumes a task each time it runs. A simple two-step Zap that fires 500 times a month is 500 tasks; a five-step Zap that fires 500 times is 2,500 tasks. Multi-step automations burn through allowances quickly, which is exactly what drives people to search for cheaper Zapier alternatives and Zapier email parser alternatives.
Pricing (billed annually): Free gives 100 tasks/mo; Professional is around $19.99/mo for 750 tasks; Team is around $69/mo for 2,000 tasks and 25 users.
On AI, Zapier has moved fast: Zapier Copilot builds Zaps from a plain-English description (and doesn’t consume tasks), AI by Zapier adds AI steps inside a Zap (with 1x/3x/5x task multipliers), Zapier Agents are autonomous and billed separately, and Zapier ships an MCP server. The architecture, though, keeps AI as a step in a linear flow rather than an agent that loops on its own.
Best for: Non-technical users who want the most integrations and the fastest possible setup, and who run low-to-moderate volume. See Zapier alternatives and Zapier vs Make for deeper looks.
Make: cheaper, more powerful visual logic
Make (formerly Integromat) is the visual-scenario power user’s pick. Its canvas handles routers, iterators, and aggregators, which means complex branching, looping, and data-shaping that would be awkward in Zapier feels natural. It connects to 3,000+ apps and costs noticeably less per unit of work.
One thing to flag because most older articles get it wrong: Make migrated its billing unit from “operations” to “credits.” If you read a comparison that still says “operations,” it’s out of date. Pricing on the 10,000-unit tier: Free ($0) gives 1,000 credits/mo and 2 active scenarios; Core is around $12/mo for 10,000 credits; Pro is around $21/mo; Teams is around $38/mo.
Make shipped Make AI Agents on February 11, 2026 — available on all plans, with visual, reusable agents that can act across its 3,000+ apps. Like Zapier, much of the AI still runs as steps inside a designed scenario, but the agent layer is real and growing.
Best for: SMBs and mid-market teams that need complex visual logic at a lower price than Zapier, and don’t mind a moderate learning curve. See Make alternatives and Make.com pricing for the full breakdown.
n8n: the most flexible, the most technical
n8n is the developer’s choice. It’s a visual node builder that also lets you drop in custom JavaScript or Python, it can be self-hosted, and its billing unit — the execution (one full workflow run regardless of how many steps it contains) — is its biggest cost advantage. A 10-step workflow on n8n is one execution; on Zapier it could be ten tasks.
A common point of confusion: n8n is fair-code, not OSI open source. It’s released under the Sustainable Use License — source-available and free to self-host for internal business use, but you can’t resell it as a SaaS. (If true open source matters to you, see free open source n8n alternatives.)
Pricing: Cloud is billed annually — Starter ~€20/mo (2,500 executions), Pro ~€50/mo (10,000 executions), Business ~€667/mo, Enterprise custom. Self-hosted Community Edition is free software with unlimited executions; you pay only for the server — a small VPS runs $3–7/mo, but the real cost of a maintained production deploy (updates, monitoring, backups, security) is much higher, estimated at $200–500/mo by some teams.
n8n’s AI story is the deepest of the three. n8n 2.0 (January 2026) added 70+ AI nodes via LangChain and a true AI Agent node with agent loops — tool calling, memory backends, and ReAct-style reasoning — supporting Claude, OpenAI, Gemini, Mistral, and Ollama, plus vector stores like Pinecone, Qdrant, and Supabase. This is the difference between AI-as-a-step and AI-as-an-agent.
The trade-off is the learning curve: webhooks, API auth, and (for self-hosting) actual ops work. That’s what sends people to n8n alternatives.
Best for: Developers and technical teams who want maximum flexibility, data sovereignty, high volume at low cost, or deep AI-agent workflows.
The thing all three share: you’re the builder
Zapier, Make, and n8n are excellent at what they do — but they’re all build-it-yourself. You design the triggers, wire the nodes, add the branches, handle the errors, and maintain it when an API changes or a workflow silently breaks. You also have to learn a billing model (task vs. credit vs. execution) that, in two of the three cases, punishes complexity and volume.
That’s fine if you want to be the builder — or if your work is deterministic plumbing: “when a Stripe payment succeeds, create a row, send a templated email.” For that kind of rule-based, structured-data work, these tools are the right call and hard to beat on reliability.
The gap shows up when the work needs judgment: messy inbound email, attachments to read and file, leads to qualify, threads to chase, replies to write in context. A flowchart can’t read a vague email and decide what to do with it. That’s where an AI agent earns its keep — and where you might not want to be the builder at all.
The done-for-you alternative: Carly
Carly flips the model. Instead of building and maintaining flows, you describe the outcome in plain English and Carly builds and runs the workflow for you. It’s an AI executive assistant aimed at non-technical knowledge workers and executives — the opposite of build-it-yourself.
What makes it different from the three above:
- It lives in email (Gmail and Outlook) and calendar, where most knowledge work actually happens — not on a separate canvas you have to open.
- Each agent gets its own email address, so it can send, triage, file, and reply like a colleague, and run on triggers 24/7 in the cloud.
- It has 200+ integrations across 40+ categories (see them) — so it can update your CRM, drop files in Drive, or post to Slack as part of the same job.
- Every step that doesn’t use AI runs free, unlimited — so you’re not metered into oblivion for the plumbing. AI agents start at $35/month.
Carly’s home turf is email and operations work, not generic multi-app plumbing — for pure deterministic pipelines, n8n, Make, and Zapier still shine. But for the judgment-heavy, email-centric work you don’t want to babysit, a done-for-you agent beats a flowchart you have to maintain. Compare it head-to-head in best AI workflow automation tools and best no-code AI automation tools.
How to choose
- Pick Zapier if you’re non-technical, want the most integrations, and your volume is low to moderate.
- Pick Make if you need complex visual logic at a lower price and can climb a moderate learning curve.
- Pick n8n if you’re technical, want to self-host, run high volume, or need deep AI-agent workflows.
- Pick Carly if the work is email- and ops-centric, needs judgment, and you’d rather describe the outcome than build and maintain the flow.
Frequently Asked Questions
Is n8n really cheaper than Zapier?
At scale, yes — often dramatically. n8n bills by execution (one full workflow run, any number of steps), while Zapier bills by task (each action step). A 10-step automation that runs 1,000 times a month is 1,000 executions on n8n but up to 10,000 tasks on Zapier. Self-hosted n8n is cheaper still on software cost, though you take on the server and maintenance burden.
What replaced “operations” in Make’s pricing?
Make migrated from operations to credits. Most older comparisons still say operations — if you see that term, the pricing details are likely out of date. Plans are priced by credit allotment (e.g., 1,000 free, 10,000 on Core around $12/mo).
Which one has the best AI agents?
n8n has the deepest AI-agent support — its 2.0 release added a true AI Agent node with tool calling, memory, and ReAct-style loops across Claude, OpenAI, Gemini, Mistral, and Ollama. Zapier (Agents/Copilot) and Make (AI Agents, shipped Feb 2026) added agent features too, but they more often run AI as a step inside a linear flow. For email- and ops-centric agent work without building anything, Carly is purpose-built.
Is n8n open source?
Not in the strict OSI sense. n8n is fair-code — released under the Sustainable Use License, which makes the source available and free to self-host for internal use, but prohibits reselling it as a SaaS. For genuinely OSI-licensed options, see free open source n8n alternatives.
Do AI agents replace Zapier, Make, and n8n?
No — they complement them. Deterministic, rule-based plumbing (structured triggers and actions) is still most reliable on these platforms. AI agents win where judgment and unstructured data matter — messy email, attachments, triage, lead qualification. Most teams end up using both.
More: Zapier vs Make · n8n vs Zapier · best no-code AI automation tools
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