n8n vs Make vs Zapier: which tool to automate your work with an AI agent?

To automate your work with an AI agent, n8n fits best if you want to host the tool yourself and keep technical control, Make if you want a visual no-code editor with a low entry price, and Zapier if your team already runs on its ecosystem. All three can now put an AI agent inside an automation: what sets them apart is billing, hosting and the technical level they expect from you.

The short answer

• You are a beginner and do not want to touch a server: Make, or Zapier if your apps are already connected there.
• You want to keep your data in-house or automate at volume: n8n, self-hosted.
• You are already a Zapier customer: stay, but keep a close eye on the move from Zapier Agents to AI by Zapier.

The details, figures and criteria follow. Prices come from the vendors’ official pricing pages, checked on October 22, 2026 and recorded in the site’s tool profiles.

Three tools, one starting idea

n8n, Make and Zapier are automation tools: they connect your apps to each other. An automation starts with a trigger (an email arrives, a form is submitted, a set time is reached), then runs a chain of actions: read some data, transform it, send it somewhere else. Zapier calls this a Zap, Make calls it a scenario, and n8n calls it a workflow.

AI comes in two ways. The simpler one is an AI step: at one point in the flow, a language model summarizes, classifies or writes some text. The more ambitious one is an AI agent: you give it a goal and tools, and it decides which actions to take. An agent is more flexible but less predictable, so it is wise to keep human approval on sensitive actions, whichever tool you use.

If you first want to know which tasks are worth automating, start with our guide to AI at work.

The three tools at a glance

Tool	Type	License	MCP	Multi-agent	Level
n8n	Low-code	fair-code	Yes	Yes	Intermediate
Make	No-code	proprietary	Yes	—	Beginner
Zapier Agents	No-code	proprietary	—	—	Beginner

The table draws on the site’s tool profiles. An empty cell means the vendor does not specify the information, not that the feature is missing. Three differences stand out: n8n is the only one whose source code is available and that installs on your own server; Make and Zapier are hosted-only services; and n8n expects a slightly more technical user than the other two.

Each tool has a detailed profile: n8n, Make and Zapier Agents.

Pricing: three ways of counting

This is the most important point, and the most misleading. The three tools do not bill for the same thing, so comparing entry prices is not enough.

Criterion	n8n	Make	Zapier Agents
Free option	Self-hosted Community edition	Free: 1,000 credits per month	Agents Free: 400 activities per month
First paid tier	Starter (cloud): €20 per month billed annually, 2,500 executions	Core: from $9 per month, from 10,000 credits	Agents Pro: $33.33 per month ($400 per year), 1,500 activities
Higher tiers	Pro €50, Business €667 (self-hosted), Enterprise on request	Pro $16, Teams $29, Enterprise on request	Enterprise on request
Billing unit	One workflow execution, however complex	Credit, usually one per module action	Activity: action, web search, browsing, knowledge lookup

Sources: official pricing pages of n8n, Make and Zapier, checked on October 22, 2026. n8n lists its prices in euros.

What this means in practice:

• With n8n, an execution counts as one whether it has three steps or thirty, so long automations come out ahead. Users and workflows are unlimited.
• With Make, every action uses credits. A “chatty” scenario that reads and writes a lot burns through the quota quickly, and a scenario that runs out of credits stops until they renew. Extra credits cost 25% more than those included in your plan.
• With Zapier, agents are billed in activities, separate from the tasks counted on regular Zapier plans. An agent that searches the web a lot uses more than one that runs a single action.

On top of these amounts, you often pay for the AI model itself when you connect your own provider with an API key. Our agent cost calculator helps you estimate it by model and volume.

AI agents in each tool

n8n: the agent as one block among others

In n8n, the AI Agent node turns a workflow step into an agent that chooses which tools to call, and a main agent can delegate to specialized agents. n8n is not tied to any model maker: you plug in the provider of your choice with your own key. It can connect to MCP servers, the standard protocol for plugging tools into an agent, or expose its own workflows as an MCP server. When blocks are not enough, a Code node accepts JavaScript or Python.

Make: the agent inside the visual editor

Make AI Agents are built in the same editor as scenarios. The agent receives instructions and tools, which are your scenarios or modules, and decides which ones to use. Make emphasizes transparency: you can see the decisions the agent made. The platform also offers an MCP server so compatible assistants can trigger your scenarios. On paid plans, you choose between the AI provider offered by Make and your own.

Zapier: a product in transition

Zapier Agents lets you describe in plain English what the agent should do, give it access to your apps and data sources, then run it on a trigger or on demand. It can also browse the web and works from a Chrome extension.

However, on October 6, 2026, Zapier announced that its agent capabilities are moving into AI by Zapier, an AI step built into the Zap editor and billed in tasks. A migration guide exists, but some features have no equivalent yet, such as several knowledge sources (HubSpot, Zendesk or Jira, for example) and agents launched from a chat.

Hosting, data and licensing

For a business, this is often the deciding factor.

n8n calls itself “fair-code”: its source code is public but distributed under the Sustainable Use License, which n8n created in 2022. It allows free internal, personal or non-commercial use, including automating work for your clients on your own instance. It does not allow you to offer n8n as a service where your clients build their own workflows. When self-hosted, your data goes through your server; in return, you handle updates, backups and security.

Make and Zapier are hosted, proprietary services. Your data passes through their cloud and through the cloud of the model provider you choose. That is simpler to run, but you need to check the data processing terms, especially if you handle personal data under GDPR or similar laws. Our article on keeping business data private with AI lists the questions to ask.

Ease of use

Make and Zapier Agents target non-technical users: the site’s profiles rate them at beginner level. You connect blocks with the mouse and have no server to manage. Zapier relies on plain-language descriptions, Make on a very visual canvas with filters, routers and loops.

n8n is rated intermediate. Its editor is also visual, but it exposes more of the data plumbing, and self-hosting assumes some comfort with a server. n8n’s cloud removes that last step.

One use case, three ways to build it

Take a common case: every request from your website contact form must be classified by an AI agent (quote, support, partnership), saved in the CRM, then paired with a draft reply that you approve.

• With n8n, a workflow starts from the form, the AI Agent node classifies the request and writes the draft, then the next nodes update the CRM and send you the draft. Each request counts as one execution.
• With Make, a scenario does the same with modules, and the agent can use other scenarios as tools. Each action uses credits.
• With Zapier, a Zap triggered by the form calls the AI step or an agent, which classifies, saves and drafts the reply. What gets counted depends on the product: activities for Zapier Agents, tasks for AI by Zapier.

In all three cases, the final send stays manual: that is what we recommend for any message that goes to a customer. More examples are in our article on AI agents for business.

Who is each one for? Our verdict by profile

Non-technical freelancer. Make, for its free plan and low first paid tier, or Zapier Agents if you simply want to try an agent. Our guide to AI for freelancers and small businesses suggests ideas for your first automations.

Small business already on Zapier. Stay with Zapier to keep your existing Zaps, and plan the transition to AI by Zapier.

Business with high volume or sensitive data. Self-hosted n8n, if someone can maintain the server; otherwise, n8n’s cloud.

Agency or consultant automating for clients. n8n, whose license lets you build and maintain automations for clients on your instance, as long as they do not create workflows themselves. If in doubt, read the license FAQ published by n8n.

Technical team. n8n, for code, webhooks and its API. For more complex agents written entirely in code, the agent frameworks page lists other options.

Check yourself You run a small online store, have no technical skills and want an agent to draft a reply to every customer question. Which tool should you start with?

Make or Zapier Agents, which need no server and offer a free plan to try things out. Keep approving each reply before it is sent. n8n becomes interesting if your volumes grow or if you want to host your data yourself.