n8n vs Zapier vs Make: which automation tool fits in 2026?

Zapier is the easiest of the three and connects the most apps. Make suits visual, branching scenarios and usually costs less per step. n8n is cheapest at high volume, because it bills per workflow execution rather than per step and can be self-hosted, but it needs more technical skill.

The right choice depends on run volume, data sensitivity and who will maintain the workflows. Most comparisons of n8n, Zapier and Make list features and stop. The thing that actually decides your bill, how each tool counts usage, is rarely explained. This guide quotes each vendor's own pricing page (read in October 2026), prices one workflow in all three units and covers licences, self-hosting and AI. Prices change often, so check the linked pages on the day you buy. Nothing here is an Elgrith price; we build automations on all three tools and in custom code.

n8n vs Zapier vs Make at a glance (2026)

Sources: n8n pricing, n8n integrations, Zapier pricing (page dated 21 Oct 2026), Zapier apps, Make pricing, Make integrations. Read 22 October 2026.

We couldn't verify Make's paid-plan prices from the page text, because they load in an interactive slider. Read them on Make's page for your expected credit volume.

How does each tool bill: tasks vs credits vs executions?

This is the single most important difference, and it compounds with every step you add.

n8n: per execution

n8n's pricing page says: "An execution is a single run of your entire workflow." It adds: "It doesn't matter how many steps are in the workflow or how much data it processes." A 3-step workflow and a 30-step workflow cost the same per run. The cloud plans are:

n8n says "All plans include unlimited users & workflows and every integration." The page shows annual billing only; check monthly prices at checkout.

Zapier: per task

Zapier's definition: "A task is counted whenever Zapier successfully completes a unit of work for you." Triggers, polling for new data and Zapier's built-in tools (Formatter, Paths, Filter, Delay, Looping and Sub-Zap) don't count. Failed actions don't count either. So a Zap with one trigger and four actions uses four tasks each time it runs.

The Free plan includes 100 tasks a month. If you go over your limit, Zapier says "you'll automatically switch to pay-per-task billing", charged at 1.25× the base rate on annual plans and 2.5× on monthly plans, and usage pauses at 3× your subscription.

Make: per credit

Make's pricing page says: "As of August 27, credits are the billing unit in Make." Credits replaced what Make used to call operations. Make's help centre defines them as "the currency you buy and consume to use Make", and the pricing page says "most actions consume 1 credit, while some advanced features leveraging Make's AI Provider may use more." The Free plan includes 1,000 credits a month.

Make's help centre says "Apps use a set number of credits per run", and only modules triggered by scenario runs use credits. In practice, a branching scenario uses credits for the modules that actually run, not for every module on the canvas.

Worked cost example: 5 steps × 1,000 runs a month

Take one workflow: a new form submission (the trigger) creates a CRM contact, adds a row to a spreadsheet, sends a Slack message and sends a welcome email. That's one trigger plus four actions, run 1,000 times a month.

Prices from each vendor's pricing page, read 22 October 2026. The unit counts are our arithmetic.

Two things change the picture quickly:

• More steps. Add five more actions and n8n's cost stays the same, while Zapier's tasks double to about 9,000 a month and Make's credits rise in step.
• Built-in tools. On Zapier, Formatter, Filter and Paths steps are free. A Zap that reformats data three times before one action is cheaper than its step count suggests.

At low volume, the difference is small and Zapier's speed of setup often wins. At tens of thousands of runs with long workflows, per-execution billing usually wins by a wide margin.

n8n vs Zapier: which should you choose?

Choose Zapier if the people building automations aren't developers, you need an app that only Zapier connects, or you want something working today. Its catalogue of 10,337+ apps is the widest, and most SaaS vendors build their Zapier integration first.

Choose n8n if you run long or high-volume workflows, need to keep data on your own servers, or want developers to write JavaScript or Python inside a workflow. Per-execution billing and unlimited users make it cheaper as you scale.

The trade-off is maintenance. A self-hosted n8n instance needs updates, backups, monitoring and security, which someone has to own.

n8n vs Make: which is easier for beginners?

Make is usually easier for beginners. Its visual canvas shows each module as a bubble, with routers for branches and clear data mapping between steps. n8n's editor is also visual, but it assumes more comfort with JSON, expressions and APIs.

Make suits operations and marketing teams that build complex scenarios themselves. n8n suits teams with a developer who will maintain workflows, add custom code and, if needed, self-host. On cost, Make's credits scale with steps while n8n's executions don't, so very long workflows favour n8n.

Make vs Zapier: which is better for complex workflows?

Make handles complex logic better for most teams. Routers, iterators, aggregators and error handlers are built into the canvas, and you see the whole scenario at once. Zapier has Paths, Filters and Looping, but long multi-branch Zaps become hard to read.

Zapier wins on app coverage, polish and how quickly a non-technical person can ship a simple automation. Because Zapier doesn't count triggers or built-in tools as tasks, simple Zaps can also be cheaper than they look.

Self-hosting, data and GDPR

Only n8n can be self-hosted. n8n says "A standard, self-hosted version of n8n is available on GitHub." That lets you run workflows inside your own cloud account or data centre, which helps when customer data, health records or financial data must stay in a region you control.

Self-hosting is not the same as open source, though. n8n's Sustainable Use License says: "You may use or modify the software only for your own internal business purposes or for non-commercial or personal use." It is described as fair-code, not an OSI-approved open source licence. Running n8n for your own company is fine; reselling it as a hosted service to others is not covered.

Zapier and Make are cloud services. For UK GDPR and EU GDPR, check each vendor's data processing agreement, sub-processor list and hosting regions, and keep personal data out of steps that don't need it. Whatever the tool, the controls are similar: least-privilege API keys, no secrets in workflow notes, logs that don't store personal data longer than needed, and a named owner for each workflow.

AI agents and LLM steps in each tool

All three tools now let you call large language models inside a workflow: to classify an email, extract fields from an invoice, summarise a ticket or draft a reply. All three also offer AI agent features, where a model decides which tool or step to call next.

A few practical differences:

• Cost. On Make, AI features "leveraging Make's AI Provider may use more" than one credit. On Zapier, each AI action is a task. On n8n, an AI step is part of one execution, but you still pay your model provider.
• Control. n8n lets developers bring their own model keys, write custom code around the model call and self-host the whole flow.
• Safety. Whatever the tool, keep a human approval step for anything that sends money, deletes records or emails customers. Models make mistakes, and a workflow repeats them at scale.

If you need an assistant that reasons over several tools, that's an AI agent rather than a workflow; see AI agent development. If you need LLM features inside your own product, see LLM integration.

When should you hire an automation agency?

You can build most simple automations yourself. Bring in help when:

• a workflow touches money, contracts or customer data and must not fail silently
• you need error handling, retries, logging and alerts, not just a happy path
• the tool's built-in connectors don't cover an API you need
• you're paying for thousands of tasks and want to know whether n8n or custom code would cost less
• you want AI steps with evaluation, guardrails and human review

A good agency should start with your process, not a tool, and tell you when a spreadsheet formula or a built-in CRM feature would do the job.

How do you switch automation tools without breaking things?

Teams often start on Zapier and move high-volume workflows to n8n or Make later. There is no import button between the three, so a switch is a rebuild. To do it safely:

1. Inventory every workflow: its trigger, steps, connected accounts, owner and monthly run count. Your billing dashboard shows which ones cost the most.
2. Move the expensive ones first. Long, high-volume workflows gain most from per-execution billing; simple, low-volume ones may not be worth moving at all.
3. Rebuild and run in parallel with test data, then compare outputs before switching the live trigger.
4. Add error handling you may not have had before: retries, alerts to a named person and a log of failed runs.
5. Switch off the old workflow only after a full billing cycle without problems, and revoke its API keys.

Document each workflow as you go. The biggest risk in any automation stack is a critical process that only one person understands.

How can Elgrith help with automation?

Elgrith has delivered 1,000+ projects for 250+ clients since 2015, from our New Delhi headquarters and client centers in New York, London and Shanghai. Our AI automation team maps your process, then builds workflows in n8n, Zapier, Make or custom code, with AI steps that read, classify and draft, and human review for risky actions. UK teams can start with our AI consultancy in London.

Our flagship build is Kenerate AI, an all-in-one AI image and video studio designed and engineered by Elgrith. It works inside Claude, ChatGPT, Cursor and 19+ AI apps through MCP and a CLI. You own the code and IP, and we give a fixed written quote after a free call. Book a call or start a project.