Zero-Maintenance Cloud Automation vs. Flat-Rate Workflows: Make and n8n Compared

Make is the best choice when you want instant cloud automation without managing servers. For heavy multi-step AI agents or strict internal data privacy, n8n charges per full workflow run instead of per step.

Published: 2026.10.14

Interactive Cost & Scale Simulator

Drag the slider to see how monthly and annual spending shifts as your usage grows.

Est. Annual Difference
$198 -31%
lower annual spend with n8n
50k ops
10k ops 255k ops 500k ops
Make $9/mo (10k ops) | ~$0.88 per 1,000 extra tasks
Monthly $53 Annual $636

10,000 tasks included in $9 Core plan; linear volume pricing above base

n8n $24/mo (Cloud) or ~$15/mo self-hosted server (unlimited steps)
Monthly $37 Annual $438

Counts 1 execution per workflow regardless of whether it has 3 steps or 50 steps

Annual Spend Trajectory by Workload Scale
Make n8n
$6k $3k $0 10 500

Paying Per Footstep vs. Paying Per Trip

The biggest difference between Make and n8n comes down to how they count your usage. Make charges by the step (operation): if a workflow reads a spreadsheet of 200 rows and runs 4 actions on each row, that single run consumes 800 operations. For standard business notifications and CRM syncs, Make's $9/month plan is still a bargain.

n8n flips that model on its head by charging per complete workflow execution. Whether your workflow has 3 steps or loops through 50 AI agent steps, n8n counts the entire run as 1 execution. Better yet, if your team has a developer who can manage a $15/month Linux server, n8n's open-source Community Edition lets you run unlimited workflows on your own hardware.

Key Performance & Cost Gap at a Glance

Relative comparison across core operational metrics between both tools.

Make n8n
Credits Consumed by One 25-Step AI Workflow 25x credit efficiency on n8n
Make: 25 ops n8n: 1 execution
Time to Connect Commercial Apps (OAuth) Make ready out of the box
Make: 1 min (1-click) n8n: 15 min (API keys)

Detailed Pricing & Specification Comparison

Side-by-side breakdown of billing units, response speed, security, and setup requirements.

Category
Billing Unit
Per module step executed
Per complete workflow run (steps inside are free)
Startup Speed
Instant webhook trigger (<0.5 seconds)
Under 0.2 seconds on dedicated server
Hourly Rate / Base Tier
Core $9/mo | Pro $16/mo | Teams $29/mo
Self-Hosted $0 | Cloud Starter $24/mo | Pro $60/mo
Data & Storage Cost
Built-in data tables & 40-day execution logs
Direct connection to your own Postgres / Redis database
Security & Stability
SOC2 Type II, GDPR, EU/US data residency
SOC2 Type II or 100% on-premise air-gapped server
Official Site & Pricing

Head-to-Head Capability Balance & Trade-offs

Visual comparison of where each tool holds a practical edge in daily operations.

Make vs n8n
1-click Cloud Zero-Setup Ease of Use Server/API setup
Per-step fee Multi-Step Loop Cost Savings Flat per-run
Cloud only On-Premise Data Privacy 100% Self-hostable

Make

Visual workflow builder that connects apps and branches complex data at a fraction of Zapier's cost

Where It Shines
  • Costs 70% to 85% less than Zapier once monthly volume passes 30,000 tasks
  • Visual canvas makes multi-branch conditions, loops, and error recovery easy to build
What to Watch Out For
  • Takes a couple of hours to learn data mapping compared to Zapier's simple list
  • Loops that split 100 rows consume 100 operations

n8n

Developer-friendly automation that charges per full workflow run instead of per step

Where It Shines
  • A 20-step AI workflow counts as just 1 execution instead of burning 20 credits
  • Can be installed on a $10/month cloud server for virtually unlimited automation
What to Watch Out For
  • Self-hosting requires basic Linux and Docker maintenance
  • Fewer one-click consumer app integrations than Zapier

Who Should Choose Which

When Make Fits Best

Business & operations teams that want zero server maintenance and instant OAuth logins to 2,000+ apps

When n8n Fits Best

Technical teams building 20+ step AI workflows or needing self-hosted data privacy

Step-by-Step Selection Guide by Situation

Follow these practical checkpoints to decide which tool fits your current workload.

01

1. Count Steps per Workflow

Workflows with 2 to 6 steps are cheapest and easiest to maintain on Make.

02

2. Check Data Privacy Rules

If sensitive customer data cannot leave your company network, deploy self-hosted n8n.

03

3. Offload Heavy Loops to n8n

Run daily SaaS triggers on Make and send heavy 30-step loops to n8n via webhook.

Frequently Asked Questions

Q. Why does n8n save so much money on complex AI workflows?

Because AI agents often loop through multiple tool calls and retries. On Make each loop step burns an operation, whereas n8n counts the entire multi-step run as 1 execution.

Q. Should a non-technical team self-host n8n?

No. Self-hosting requires managing server updates, SSL certificates, and Google/Slack developer OAuth apps. Non-technical teams are much better served by Make or n8n Cloud.

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