n8n vs Make vs Zapier: The Unfiltered Comparison for Automating Your AI Workflows

After 3 years automating workflows for SMBs, I’ve used all 3 platforms. I’ve built hundreds of workflows. I’ve crashed systems. I’ve found shortcuts.

This comparison is different: no generic feature lists. What I’m giving you is what I wish I’d known before losing 40 hours on avoidable mistakes.

What I Learned the Hard Way

I started with Zapier in 2022. Then Make when Zapier got too expensive. Then n8n when I needed real AI capabilities.

Each transition saved me time and money. But each transition also cost me setup hours.

The lesson: Choose the right platform from the start. Otherwise you pay twice.

The Honest Comparison Table

My quick verdict: If you want AI, n8n. If you want simplicity, Make. If you need a niche integration, Zapier.

n8n — The Real Automator’s Choice

Why I Recommend It for AI

n8n is the only one of the three with native LLM nodes. In practice:

// In Zapier/Make: You need to make an HTTP call to the OpenAI API
// Boilerplate for every AI workflow

// In n8n: A "AI Agent" node and you're done
// The node handles auth, retries, parsing

The nodes I use most:

• Claude: For lead analysis, email triage, content generation
• OpenAI: For GPT-4 workflows
• Ollama: For self-hosted models (if you want privacy)
• HTML Extract: To parse web pages with AI
• Pinecone / Qdrant: For RAG (retrieval augmented generation)

The Pricing That Changes Everything

The self-hosted option is free and can run on an old laptop. Best value in the market.

The Drawbacks

• More complex: You need to understand how APIs work
• UI less polished than Make
• No native integrations for some tools (Shopify, etc.)

Who It’s For

✅ You have complex AI needs (agents, RAG, fine-tuning)
✅ You’re tech-savvy or want to learn
✅ You have a limited budget (self-hosted = free)
✅ You want full control over your workflows

❌ You hate technical stuff
❌ You just want simple integrations (Shopify → email)

Make — The Perfect Compromise

Why My Non-Tech Clients Choose It

Make (ex-Integromat) has the best interface on the market. No code, clear visual flows, and it works.

What I like:

• Intuitive drag & drop
• Complex scenarios but readable
• Good documentation
• Templates for common use cases

The AI limitations:

To call ChatGPT in Make:
1. Create an OpenAI account
2. Generate an API key
3. Create an "HTTP" module in Make
4. Configure the request body
5. Parse the JSON response

In n8n:
1. Node "OpenAI"
2. Paste your API key
3. Done

It’s the difference between “it works” and “it’s natively integrated.”

The Pricing

The Core plan at $9/month is enough for most SMBs (10k operations/month).

Who It’s For

✅ You’re not tech and want something simple
✅ Your workflows are mostly integrations (app → app)
✅ You need quick onboarding
✅ You’re in e-commerce (Shopify, WooCommerce)

❌ You want serious AI
❌ You need native AI nodes
❌ You want a workflow with 50+ steps (Make gets slow)

Zapier — The Pioneer Who Lost Its Edge

Why I Don’t Recommend It Anymore (in 2026)

Zapier invented no-code automation. Respect for that. But in 2026, the value proposition isn’t there anymore.

The concrete problems:

1. 25 webhooks on the basic plan — Want to monitor 30 sources? Pay more.

2. No native AI — You can use Zapier with OpenAI, but it’s a hack not a feature.

3. Complex Zaps get slow — 5+ steps = several minute latencies.

4. Price goes up fast — An SMB with 20 active Zaps quickly exceeds $100/month.

When Zapier Still Makes Sense

Case #1: You need a very niche integration
Zapier supports 6,000+ apps. If your niche tool is only supported by Zapier, use it.

Case #2: You’re enterprise and need SLA support
Zapier has enterprise plans with priority support.

Case #3: You’ve inherited a stack of Zaps and migrating would cost more than staying
In that case, optimize what you have.

Who It’s For

✅ You have a niche integration that no other tool supports
✅ You’re in an enterprise environment with SLA needs
✅ You have a legacy Zapier stack and no time to migrate

❌ You’re an SMB with a limited budget
❌ You want to do AI
❌ You’re looking for the best value

The Choice Framework

What is your main need?

If AI (agents, LLMs, RAG) → n8n
If simple integrations → Make
If niche integration → Zapier

My Recommendation by Profile

How to Migrate If You Made the Wrong Choice

From Zapier/Make to n8n

Method 1: Complete Migration (Weekend project)

1. Export your Zapier/Make configs (screenshots + notes)
2. Recreate each workflow on n8n
3. Test in parallel for 2 weeks
4. Permanent switch

Method 2: Progressive Migration (recommended)

1. Start NEW workflows on n8n
2. Keep old ones on Zapier/Make
3. Migrate one workflow per week
4. When 80% are on n8n, permanent switch

From n8n to Make

Rarer, but if you regret n8n:

Method: Rebuild

Unfortunately there’s no automatic migration. Export your screenshots, rebuild on Make.

The Shortcuts Nobody Shares

n8n: Reduce the Cloud Bill

# Instead of paying $20/month for n8n cloud
# Host on a VPS ($5/month) or even a Raspberry Pi ($0)
# n8n runs on: 1 CPU, 1GB RAM minimum

Make: Speed Up Slow Scenarios

// Problem: Your scenario has 50+ operations and lags
// Solution: Split into multiple scenarios + liaison webhook
// Example: 1 "Trigger" scenario → webhook → 3 "Worker" scenarios

Zapier: Avoid Webhook Limits

// Problem: 25 webhooks aren't enough
// Solution: Use a webhook proxy service (Webhook.io, etc.)
// Or: One Zapier webhook → your server → dispatch to multiple

The Final Verdict

After 3 years and hundreds of workflows on all 3 platforms:

If you could only remember one thing: n8n is the best choice for AI automation in 2026. More complex, yes. But the native LLM nodes are worth the cost.

Next Step: Find Your First Workflow

You now know which platform to choose. But have you identified your first workflow to automate?

Do the test: Which workflow takes the most time each week? Lead qualification? Reporting? Content?

→ Book an AI Diagnostic — we choose the stack and first workflow together

This article is part of the “AI for SMBs” series. Read also: 5 Automations That Generate ROI in Month One and AI vs ChatGPT: Why Using a Tool Is Not an AI Strategy