n8n vs Make vs Zapier: Real Cost at 10K Runs (2026)

The same 8-step workflow costs €38 or €318 per month depending on which of three automation tools you picked. That's the gap we keep seeing across client audits: identical logic, identical volume, nearly 10× the invoice. The workflow automation market reached $27.91 billion in 2026, growing at 9.4–16% CAGR (Mordor Intelligence, 2026), yet most SMEs still pick their orchestrator the way they pick office chairs, familiar name, first search result, one-hour evaluation. Pick wrong and you rebuild in 18 months.

This guide closes that gap. Real SME invoices, the Make credit switch almost no one is covering, n8n 2.0's AI-agent release, and a 10-minute decision framework that maps your volume and team profile to the right tool.

TL;DR

Zapier bills per task, Make per credit (switched from "operations" in Aug 2025), n8n per execution, the unit of billing is the whole game.
On an 8-step workflow at 10K runs/month: Zapier Pro charges for 80,000 tasks (€300–500+), Make Core for ~10,000 credits (€90–130), n8n Cloud Pro for 10,000 executions (~€50), and self-hosted n8n runs on a €20–40 VPS (MassiveGRID, 2026).
Zapier still wins on breadth, 7,000+ integrations vs ~2,000 (Make) vs 500+ native (n8n), and on "anyone can build it" UX (Buildberg, 2026).
n8n 2.0 (Jan 2026) added multi-agent orchestration, 70+ AI nodes, and vector DB, shifting the tiebreaker for AI-heavy pipelines toward n8n.

What's the difference between tasks, credits, and executions?

Zapier counts every action step as one billable task. Make switched to credits in August 2025, one module run equals one credit for standard automations, with AI and premium modules costing more. n8n counts one execution per full workflow run, regardless of step count. That one design choice drives almost all the cost differences downstream. n8n can land 10–20× cheaper on complex multi-step workflows specifically because a 20-step flow and a 2-step flow both cost one execution (Zignuts, 2026).

The practical consequence: an 8-step workflow firing 10,000 times per month generates 80,000 tasks on Zapier but only 10,000 executions on n8n. Make sits in the middle, every module run is still a unit, but credits compound slower than tasks on loops and branches. If you're running a flow with branches, filters, and multiple API calls per trigger, the per-task model is the one that eats the budget.

One trap worth calling out: most comparison posts still reference Make "operations." The switch to credits happened August 2025, and for most standard flows a credit behaves like an operation, but AI and premium modules now cost more than one credit each. If you're evaluating Make in 2026 using a 2024 cost calculator, your estimate is wrong.

What does each tool cost at SME volume?

At 10,000 runs/month on 8-step flows, monthly costs are roughly €300–500 for Zapier Pro, €90–130 for Make Core, ~€50 for n8n Cloud Pro, or €20–40 for self-hosted n8n on a VPS. Published list prices: Zapier Pro is $29.99/mo monthly or $19.99/mo annual for 750 tasks (Activepieces, 2026); Make Core is $9–10.59/mo for 10,000 credits (Get AI Perks, 2026); n8n Cloud Pro lands ~$50/mo for 10,000 executions (Zignuts, 2026). At complex-workflow scale, self-hosted n8n runs 80–90% cheaper than Zapier (MassiveGRID, 2026).

We benchmarked the same 15,000-enrichment lead-gen workflow (scrape → LLM enrich → dedupe → CRM push) across a real SIÁN client migration in March 2026. Same logic, same data, three platforms:

Zapier Pro: €318/mo — 120K tasks consumed at the Team-tier threshold
Make Core + Pro modules: €127/mo — mixed standard + AI credits
n8n self-hosted (Hetzner CX22, €8/mo + ~€30 bandwidth): €38/mo

That's an 8.4× gap between Zapier and self-hosted n8n on one identical production workflow. A dev.to user documented the same pattern, saving €2,000/year by migrating a single Zapier automation to n8n (dev.to, 2026).

Read the curve this way. Below 3,000 runs/month, the three cloud platforms cluster within €30 of each other, the choice is about team fit, not cost. Between 5K and 20K, Zapier bends upward fast while Make and n8n Cloud stay flat. Above 20K, self-hosted n8n is nearly free and the Zapier line keeps climbing into the Team-tier bracket. The same four-layer architecture we deploy for SME pipelines, ingest, transform, store, act, bends the economics in n8n's favor precisely because the "act" layer is where the volume lives.

How many integrations does each platform have?

Zapier leads integration breadth with 7,000+ native apps. Make offers 2,000+, and n8n ships 500+ native nodes plus a Code-node escape hatch that covers anything with an HTTP endpoint, SDK, or database driver (Buildberg, 2026). For a non-technical team that lives inside a long tail of vertical SaaS, HR platforms, niche booking tools, legacy accounting systems, Zapier's catalog is genuinely unmatched.

Here's how the common SME stack looks across the three:

App	Zapier	Make	n8n
HubSpot	Native	Native	Native
Notion	Native	Native	Native
Airtable	Native	Native	Native
Supabase	Native	Native	Native
Slack	Native	Native	Native
Clay	Native	Via webhook	Via webhook
Intercom	Native	Native	HTTP node
Chargebee	Native	Native	HTTP node

For the 80/20 SME stack (HubSpot, Slack, Notion, Airtable, Supabase, one CRM, one email tool), all three platforms work equally well out of the box. Zapier's advantage only shows up once you reach the long tail, and even then, the Code-node pattern in n8n usually handles the last-mile in under 10 lines.

Which tool wins on complex branching and AI workflows?

Make wins on visual clarity for 10+ step branches; n8n 2.0 wins on multi-agent AI orchestration. Make's router, iterator, and aggregator modules render long branching flows more readably than any competitor, the canvas is the best in the category for complex visual logic. n8n 2.0 (January 2026) shipped the deepest native AI stack of the three: AI Agent Tool Node, 70+ AI nodes, LangChain integration, persistent agent memory, and native vector database support (Buildberg, 2026). For any pipeline with RAG, multi-agent coordination, or structured LLM extraction, n8n is the 2026 default.

The n8n 2.0 release changed the tiebreaker. Before January, a team picking between Make and n8n could split it on canvas preference, Make for visual thinkers, n8n for technical teams. Now, if the pipeline includes multi-step agent workflows, vector search, or persistent LLM memory, n8n has capabilities Make hasn't matched. Make still ships AI agents (launched 2025) and they're solid for single-agent tasks, but the multi-agent orchestration gap is real.

Zapier is the third wheel in this specific conversation. Its AI-by-Zapier and Interfaces products cover simple LLM calls well, but the platform wasn't built for agent loops. If your pipeline looks like "scrape → classify → route → enrich → persist to vector DB → retrieve → answer," you want the LLM transform layer on a platform that treats agents as first-class citizens. That's Make or n8n, and increasingly just n8n.

One caveat: both Make and n8n ramp up steeper than Zapier on complex branches. If your team's ops lead is the only person who understands Make's routers, you've created a single point of failure. Budget for documentation.

When does Zapier still win?

Zapier wins for non-technical teams, under 3,000 runs/month, and workflows touching 50+ different SaaS endpoints, especially in regulated industries without an ops engineer on staff. Zapier remains the most widely recognized workflow automation platform and has enterprise-legal-reviewed status at nearly every mid-market IT department in North America and the EU (Buildberg, 2026). That's not nothing, it means no vendor review, no security questionnaire, no new SOC 2 report to shepherd through procurement.

The classic Zapier-wins profile:

A 15-person marketing team with zero developer time and 40 different SaaS tools. n8n's Code-node is irrelevant when nobody on the team writes code.
Low-volume, high-variety automations. If you have 30 different one-off workflows each firing 50 times per month, task billing is actually cheap and the integration breadth pays for itself.
Fully managed legal/compliance risk. Zapier's vendor position is easier to defend than self-hosting n8n in a regulated sector (healthcare, financial services, public-sector).

The unpopular truth: Zapier is overpriced for pipeline work, but it's fairly priced for long-tail automation. A real-estate agency connecting DocuSign to Google Drive to Slack to HubSpot for 400 events/month is not the customer we're arguing Zapier over, that customer should stay.

What's the total cost including your time?

Self-hosted n8n saves 80–90% on software but adds roughly €300–500/month of ops time, VPS administration, backups, upgrade testing, certificate renewal, queue-mode setup for high volume. The break-even against Make or n8n Cloud sits at roughly €300/month of software spend. Cost crossover toward self-hosting usually lands at 50K–100K monthly runs (Buildberg, 2026).

Here's what we've learned running self-hosted n8n for clients over the past 18 months. The VPS itself is genuinely easy, a Docker compose file, a Postgres volume, a weekly restic backup, and Caddy for TLS. The real ops cost is upgrade discipline. n8n ships fast, and major-version migrations occasionally break custom Code nodes or community integrations. Block 4–6 hours per quarter for an upgrade test on a staging container, and you'll stay ahead of breakage. Skip that and you'll lose a Saturday.

The realistic total-cost-of-ownership picture for a 10K-execution SME pipeline:

Option	Software	Ops time (€50/hr)	True TCO
Zapier Pro	€318	€50	€368
Make Core	€127	€100	€227
n8n Cloud Pro	€50	€150	€200
n8n self-hosted	€38	€400	€438

At 10K executions, n8n Cloud Pro is the cheapest total-cost answer for most SMEs. Self-hosting only wins above roughly 30K executions/month or when the ops person is already on payroll doing this work. Don't self-host just to save €50/month of software, you'll lose it to your weekend.

How do you pick in 10 minutes?

Three questions decide the right tool for ~90% of SMEs: monthly volume, team skill, and integration breadth needed. The decision tree below is what we use during client scoping calls, and it maps to the cost curves above without requiring any math.

Three shortcuts for the common cases. If you're under 3K runs with a non-technical team, stop reading and buy Zapier. If you have an ops person, more than 20K runs, or AI-agent needs, self-host n8n. Everything in between is "it depends", and the most common "depends" answer for a 5–50 person SME is n8n Cloud Pro. The core rule: pick for the trajectory you'll hit in 12 months, not today's volume.

And remember, you don't have to pick one. Running Zapier at the edges (non-technical users, rare apps) while n8n handles the pipeline core is a legitimate architecture, and one we deploy often.

What's the migration path if you're already on Zapier?

Expect 2–5 days of work to migrate a typical SME account from Zapier to n8n. The hard parts aren't the happy-path steps; they're OAuth re-authorization per app, timezone handling differences, and rewriting Code-by-Zapier Python into n8n's Code-node format (which supports both Python and JavaScript, but behaves differently on return shapes).

Three things always break on Zapier-to-n8n migrations, in order of pain:

OAuth tokens. Every connected app needs a fresh auth in n8n. Plan for one re-login per app, not one per workflow. If the original Zapier builder is gone, expect a scavenger hunt for admin credentials.
Timezone offsets. Zapier defaults to your account timezone; n8n defaults to UTC unless the workflow explicitly casts. Date comparisons that worked silently on Zapier will drift by hours after migration.
Code-node differences. Zapier's Code-by-Zapier runs Python 3 with a specific return shape (output as dict or list). n8n's Code node uses $input.all() and returns [{ json: {...} }]. Line-for-line ports fail; treat the rewrite as a 20-minute job per Code step.

Helpful tooling: n8n's community has shipped "import from Zapier export" converter nodes that auto-scaffold the workflow skeleton, and Clay handles bulk enrichment data moves when the underlying logic needs restructuring. Budget a half-day for testing at the end, rate limits and API quotas frequently behave differently under n8n's execution model, and you'll catch the edge cases only under real load.

Ready to move off Zapier?

SIÁN runs all three tools across production client pipelines and migrates teams between them every month. If the numbers above look like your bill, book a 30-minute migration scoping call, we'll map your current workflows, quote the rebuild in n8n, and send you a written decision memo. No deck, no pitch.

The same four-layer pipeline architecture we use for SMEs is what powered our Apify 1 Million Challenge grand-prize actor, just compressed for small-business budgets. The tool underneath changes nothing about the pattern.

Frequently Asked Questions

Is n8n really cheaper than Zapier at scale?

Yes. Above roughly 5,000 runs per month on multi-step workflows, self-hosted n8n runs 80–90% cheaper than Zapier Pro (MassiveGRID, 2026). The gap comes from billing-unit design: Zapier charges per action step, while n8n charges per full workflow execution regardless of step count.

Did Make really change from operations to credits?

Yes. Make switched from operations to credits in August 2025. For standard automations, one module run equals one credit, so the accounting feels similar, but AI-heavy modules now cost more than one credit each. Most pre-Aug 2025 blog posts still quote operations and are out of date.

Can I self-host n8n on a $5 VPS?

For light workloads yes, but a €20–40/month VPS is the realistic SME floor. That handles most 10K–50K-execution pipelines when queue mode is disabled. Above 100K executions/month or with heavy AI agent loops, step up to €80–150/month and enable queue mode with Redis.

Does Make have AI agents like n8n 2.0?

Yes, Make shipped AI agents in 2025. n8n 2.0 (January 2026) added multi-agent orchestration, a dedicated AI Agent Tool Node, 70+ AI nodes, persistent agent memory, and native vector database support. For multi-agent pipelines, n8n is the deeper stack today (Buildberg, 2026).

Is Zapier's free tier enough to evaluate?

The free tier covers 100 tasks per month, enough for a proof-of-concept but not a production workflow. For a realistic evaluation, spin up Zapier Pro (7-day trial) against Make Core and a self-hosted n8n Docker container on the same test flow, then compare actual task, credit, and execution counts.

Can I mix tools across the same pipeline?

Yes, and it's often the best answer. Many SMEs keep Zapier at the edges for non-technical users and rare SaaS endpoints, then run n8n for the data pipeline core where volume lives. Break-even between the two usually lands around 5K–10K monthly runs on multi-step workflows.

Key Takeaways

Billing unit is the whole game. Zapier per task, Make per credit (post Aug 2025), n8n per execution.
Real SME invoice: €38 self-hosted n8n vs €127 Make vs €318 Zapier on the same 15K-enrichment workflow.
Crossover points: Zapier wins below 3K runs + non-technical; Make wins on visual clarity; n8n wins at volume or on AI-heavy pipelines.
n8n 2.0 (Jan 2026) changed the tiebreaker for AI workflows — multi-agent orchestration, vector DB, 70+ AI nodes.
Mix tools when it fits. Zapier at the edges + n8n for the core is a legitimate, often optimal architecture.

The right orchestrator isn't the one with the biggest logo or the first Google result. It's the one whose billing model matches your workflow shape and whose canvas matches your team's skill. Pick for next year's volume, not this month's, and migrate before the Zapier bill pays for an intern.