Zapier is the right pick if you want the fastest setup and the widest app coverage and you are not technical. Make is the right pick if you want more power at roughly half the price and you like building visually. n8n is the right pick if you have a technical person, want to self-host for data control and cost, and plan to build AI agents. It is the cheapest at scale and the most flexible, but the steepest to learn.
That is the decision in three sentences. The rest is the detail behind it: the real 2026 pricing, the pricing *model* (which matters more than the headline number), where each one breaks, and which business each actually fits. All pricing verified against the vendors' own pages in May 2026.
How the three tools actually differ
All three do the same core job: connect your apps and run workflows without much code. The difference is philosophy, and philosophy determines which one fits.
Zapier is built on dead-simple "when this happens, do that" logic. It has the largest app library on the market and is designed so a non-technical founder can build a working automation in ten minutes. The tradeoff is that simple logic costs you as your workflows grow, both in complexity ceiling and in per-task pricing that compounds quickly.
Make (formerly Integromat) uses a visual canvas where you drag modules and draw the connections between them. It offers more branching, better logic, and more data manipulation than Zapier, at a lower per-operation price, in exchange for a learning curve that takes a few days to get comfortable with rather than ten minutes.
n8n is developer-grade and open-source. You can run it on your own server, it handles arbitrarily complex logic and AI agent workflows natively, and it has become the default tool for serious AI-agent work in 2026. It is the most powerful of the three and the most demanding: you need someone technically comfortable, but in exchange you get a tool with no meaningful ceiling and a billing model that does not punish you for building large.
Pricing — and why the model matters more than the price
The headline price is a trap. What actually controls your bill is the billing unit: what each tool counts as one chargeable thing. Get this wrong and a "cheap" tool becomes the expensive one.
Zapier — billed per task
Free: $0/mo, 100 tasks/month, two-step Zaps only. Starter: $19.99/mo (billed annually) for 750 tasks. Professional: ~$73.50/mo for 2,000 tasks. A "task" is one action that runs. The catch: a 5-step Zap that fires once burns 5 tasks. High-step workflows eat your quota fast. Upside: 8,000+ app integrations, the largest library anywhere.
Make — billed per operation
Free: $0/mo, 1,000 operations/month, two active scenarios. Core: ~$10.59/mo for 10,000 operations. An "operation" is one module execution, similar to a Zapier task, but the per-unit price is far lower. 3,000+ integrations. For most mid-complexity workflows, Make costs roughly half what Zapier does for the same work.
n8n — billed per execution (or free if self-hosted)
This is where it gets interesting. The self-hosted Community Edition is free and open-source with unlimited executions: you pay only for the server, around $3-7/mo on a small VPS. n8n Cloud Starter is $24/mo for 2,500 executions. The key difference: an "execution" is one full workflow run regardless of how many steps it has. A 30-step workflow counts as a single execution.
Take a 10-step workflow that runs 1,000 times a month. On Zapier that is 10,000 tasks (Professional tier, ~$73.50/mo). On Make, 10,000 operations (Core, ~$10.59/mo). On self-hosted n8n, that is 1,000 executions, effectively free beyond your server cost. The more steps per workflow and the higher your volume, the more decisively n8n wins on cost.
Ease of use and learning curve
Ease of use is the inverse of the power ranking, and it matters more than people admit. A powerful tool nobody on your team can maintain is a liability, not an asset.
Zapier is the easiest by a clear margin. If you can describe the automation in a sentence, you can probably build it. Templates exist for almost everything. A non-technical business owner is productive in an afternoon without needing to ask anyone for help. Make is moderate: the visual canvas is genuinely intuitive once it clicks, but routing logic, filters, and data mapping take a few days to feel natural. Most operations-minded people are comfortable within a week. n8n has the steepest curve. Expect to understand JSON, basic data structures, and sometimes a line or two of JavaScript. The payoff is near-unlimited flexibility, but it realistically needs a technical owner: someone who is comfortable debugging why a webhook payload is not parsing correctly on a Tuesday morning.
AI features in 2026
All three raced to add AI capabilities in 2025-2026, but they landed in very different places, and the gap matters if AI agents are part of your ambition.
Zapier shipped Zapier Agents (autonomous multi-step AI agents) and an MCP server that exposes 40,000+ actions to any LLM via Anthropic's Model Context Protocol. It is a genuinely useful option if you want AI bolted onto the largest app library in the world with minimal technical setup. Make added Maia, a conversational workflow builder, alongside an AI agent builder still in beta and native OpenAI, Anthropic, and Google modules. It is solid, but slightly behind the other two on agent maturity.
n8n is the clear leader for AI agents in 2026. The 2.0 release in January 2026 added native LangChain integration, 70+ AI nodes covering OpenAI, Anthropic, Google, Mistral, DeepSeek, and local models via Ollama, persistent agent memory across conversations, and native vector-database support for Pinecone, Qdrant, and pgvector. If the goal is a real AI agent (one that reasons, uses tools, and maintains state), n8n is the only tool in this comparison that makes it straightforward.
Which one fits your business
Choose Zapier if…
You are non-technical, you want something live today, you connect a lot of niche SaaS apps, and a slightly higher cost per task is worth not thinking about infrastructure. Best for solo founders and small teams with simple, low-volume workflows.
Choose Make if…
You want noticeably more power than Zapier without paying Zapier prices, you are comfortable building visually, and your workflows have real branching and logic. Best for operations-heavy small businesses watching their budget.
Choose n8n if…
You have (or can hire) a technical person, you care about data control and self-hosting, your volume is high enough that per-task pricing hurts, or you are building AI agents. Best for scaling businesses and anyone who wants to own their automation layer outright.
What we actually deploy client work on
Honest answer: most of our client builds run on self-hosted n8n. The reasons are consistent: data stays on infrastructure the client controls, the execution-based pricing collapses cost at scale, and the AI-agent tooling is the best available. For clients who want to maintain their own automations without technical staff, we deploy on Make (better value than Zapier) or Zapier (when they need a niche integration only it supports).
The wrong tool cuts both ways, though. We once inherited a solo founder who had read that n8n was the cheapest option, self-hosted it herself, and then watched it quietly stop running every time the server hiccuped, usually on a Friday, usually unnoticed until a client pointed it out. She was not technical, and the "cheapest" tool was costing her sleep and trust. We moved her to Make. Her bill went up by twelve euros a month and her blood pressure came down considerably. Cheapest on paper is not cheapest in practice if you cannot keep it running.
There is no universally correct tool. There is a correct tool for your team's technical ability, your volume, and your data requirements. Picking the wrong one is the most common and most expensive automation mistake we see: usually a business locked into per-task pricing on workflows that should have been one execution.
The honest summary: Zapier for non-technical speed and the widest app library, Make for visual power at half the price, n8n for technical teams who want self-hosting, the lowest cost at scale, and the best AI-agent tooling. The billing model (task vs operation vs execution) matters more than any feature, because it decides what you actually pay as you grow. If you are unsure which way your volume tips the math, that is exactly what we work out in the €49 audit.