Every other Make review you’ll find right now is quoting stale pricing. I pulled the numbers straight from Make’s pricing page while writing this, and the platform quietly rebuilt its entire billing model. If you’re comparing quotes from three different “2026” reviews and getting three different numbers, that’s why. This one’s current as of today.

What Is Make.com, Really?

Make (formerly Integromat) is a visual, no-code/low-code automation platform. You connect apps on a canvas using “modules,” wire them together into a “scenario,” and Make moves data between them whenever a trigger fires. Think of it as a flowchart that actually executes.

What separates Make from something like Zapier is depth. You get routers (branching logic), iterators and aggregators (for working with arrays of data), and genuinely useful error handlers — all visible on one canvas instead of buried in a settings menu. That depth is exactly why people either love Make or bounce off it within a week.

The other big story in 2026 is AI. Make has folded AI Agents directly into the canvas (still in beta), and launched Maia, a conversational builder that lets you describe a workflow in plain language and have Make assemble the scenario for you. That’s a meaningful shift from “you build every module by hand” to “you describe intent and refine the output” — and it’s something none of the other Make reviews currently ranking have covered, because it’s that new.

Common Ways Businesses Actually Use Make

Before the pricing and pros/cons breakdown, it’s worth grounding this in what Make actually gets used for day to day. These are the workflow categories that show up constantly across Make’s own template library and the wider automation community:

Lead routing and scoring. A form submission comes in, an AI module scores the lead’s quality, and a router sends high-value leads to a sales rep’s calendar link while lower-quality leads drop into a nurture sequence. This is the single most common “showcase” use case for Make, and it plays directly to the platform’s branching strengths.

Document and contract generation. Sales calls or form data feed into a CRM update, an auto-generated invoice number, and a populated contract in a tool like PandaDoc or DocuSign — with a second scenario capturing the signed, finalized version back into your systems.

Content and meeting pipelines. A Zoom recording finishes, and Make pulls the transcript into a searchable database, uploads the video to storage, and runs the transcript through an AI model to generate a summary or social post — all without anyone touching the recording manually.

Employee onboarding. Make’s scenario inputs feature lets you fill out one form and fan that data out to Slack, project management tools, and time-tracking software simultaneously — useful for teams tired of manually adding new hires to six different platforms.

Notice the pattern: every one of these leans on branching, multi-step sequencing, or conditional logic. That’s Make’s home turf. If your automation need is genuinely that simple — “new email, send a Slack message” — you’re paying for capability you won’t use.

Make vs. Zapier vs. n8n: The Fast Comparison

If you’re deciding between the three most common automation platforms, here’s the honest breakdown before you read another word:

Zapier and n8n pricing shift often — confirm current numbers on their pricing pages before you commit. Make’s figures above are pulled live from make.com/en/pricing.

How I Evaluate Automation Platforms

I don’t score automation tools on marketing copy. I go straight to the pricing page and the help docs, because that’s where a platform’s real personality shows up — the fine print on credit consumption, the exact error-handling behavior, the actual execution limits per tier. I cross-reference that against what other builders consistently report hitting in practice: the same complaints (cryptic error logs, credit burn) show up across independent reviews written months apart, which tells you they’re structural, not a bad week. For Make specifically, my assessment below is built on the platform’s current documentation, its live pricing structure, and the patterns that keep surfacing across builders who use it for real client and business workflows — not a single afternoon of poking at a free account.

Make Pricing 2026: The Numbers Everyone Else Has Wrong

Here’s where I have to be blunt: almost every Make review currently ranking is quoting outdated pricing. You’ll see $9, $10, or $10.59 for the entry plan. As of this writing, Make’s Core plan is $12/month billed annually for 10,000 credits, Pro is $21/month, and Teams is $38/month — each still for a 10,000-credit baseline that scales up on a slider. That’s a real price increase from what most of the internet still says, and it matters if you’re budgeting.

The bigger change isn’t the dollar figure — it’s the unit. Make has formally retired “operations” as the billing term and replaced it with credits. Functionally similar (most actions still cost one credit), but the shift matters because credits now scale unevenly with AI-heavy modules: running Make’s Code App, for instance, costs 2 credits per second of execution time, something the old flat “1 operation = 1 unit” model never had to account for. If your scenarios lean on AI modules or custom code, budget for that difference.

One detail almost nobody mentions: router modules and error handler modules (Rollback, Break, Resume, Commit, Ignore) don’t consume credits at all. That’s a genuinely useful way to add resilience to a scenario without it costing you anything — build your branching and your failure handling generously, and save your credit budget for the actions that actually move data.

Why Your Credit Usage Balloons Faster Than You’d Expect

Here’s the trap almost every new Make user falls into. Say you build a scenario that watches a Google Sheet, checks a condition, formats a date, and posts to Slack. That’s not one credit per run — it’s four separate module actions, each billed individually. Multiply that by a few hundred runs a month and you’ll blow past the Free plan’s 1,000-credit ceiling embarrassingly fast, often without adding anything you’d call “heavy.”

Run that 500 times a month and you’ve spent 2,000 credits on a genuinely simple workflow — a fifth of the Free plan’s entire monthly allowance. This is the single biggest thing people underestimate about Make, and it’s why the platform rewards people who plan their scenario architecture before they start dragging modules onto the canvas.

What Make Gets Right

Where Make Still Frustrates People

Make’s AI Agents and Maia: Hype or Real Upgrade?

I’ll give Make credit where it’s due: dropping an “Agent” module directly onto the same canvas as your deterministic automation is a smarter design decision than bolting AI on as a separate product. You can watch an agent’s reasoning in a side panel, connect it to your existing scenarios as “tools,” and layer decision-making on top of workflows you already trust.

My honest opinion, though: this is still a beta feature bolted onto a workflow tool, not a purpose-built agent platform. If your primary goal is deploying an AI agent that handles inbound calls, manages an inbox, or runs independently of a scenario wrapper, Make isn’t there yet — you’ll get more mileage from a dedicated agent-first tool. Where Make’s AI Agents genuinely shine is adding a layer of judgment to an automation you’re already running: triaging support tickets, scoring leads, or deciding which of three routes a piece of data should take. That’s a real, useful upgrade. Just don’t expect it to replace a standalone AI employee.

Maia, Make’s natural-language builder, is worth watching closely over the next few months. If it matures the way similar AI-assisted builders have on other platforms, it could meaningfully flatten Make’s infamous learning curve — which, right now, is still the single biggest reason people bounce off the platform.

Who Should Actually Use Make?

FAQ

How much does Make cost in 2026?

Free starts at $0 for 1,000 credits/month. Paid plans begin at $12/month (Core) for 10,000 credits, scaling to $21/month (Pro) and $38/month (Teams), with Enterprise on custom pricing. All figures reflect current pricing pulled directly from Make’s site, billed annually.

What’s the difference between credits and operations?

Make formally replaced “operations” with “credits” as its billing unit. Most module actions still cost one credit each, but AI-heavy features like the Code App now bill by execution time, so credit consumption can scale differently than it did under the old operations model.

Is Make better than Zapier?

Depends on the job. Make wins on branching logic, error handling, and visual clarity for complex workflows. Zapier wins on simplicity, onboarding speed, and a larger app catalog. If you’re automating one straightforward task, Zapier is faster to set up. If you’re building something with multiple conditions and data transformations, Make gives you more control.

Does Make have a free plan?

Yes — 1,000 credits per month, capped at 2 active scenarios and a 15-minute minimum interval between scheduled runs. It’s genuinely useful for testing but too limited for daily business use.

Can non-technical people use Make?

For simple, linear scenarios, yes. The moment you need routers, data mapping between apps with different field structures, or error handling, expect a real learning curve — or lean on Maia’s natural-language builder to get a starting scenario drafted for you.

Conclusion

Make earns its reputation as the power-user’s automation platform. The canvas, the branching logic, and the error handling are still genuinely best-in-class for anyone building workflows with real complexity. But going into 2026, you need to walk in with your eyes open on two things: the pricing just went up under a rebranded credits system, and the AI Agents everyone’s excited about are still a beta feature riding inside the scenario builder, not a mature standalone product.

My take: if you’ve got someone on your team who’s comfortable with logic puzzles and you’re automating something with real branching, Make is worth the $12–$21/month and the learning curve. If you just need two apps to talk to each other, save yourself the headache and grab something simpler.

If you’re weighing automation platforms more broadly, it’s worth reading how Zapier’s loop errors get diagnosed and fixed, or how webhook JSON array mapping errors trip people up across almost every automation tool, Make included. For teams exploring the AI side of automation, our breakdowns of the best AI agent frameworks for simple workflows and whether Claude Cowork is safe to hand real tasks to are useful next reads. We’ve also covered automation-adjacent AI platforms like Turbotic, Abacus AI, and Agenta, plus a practical guide on how to know if a new AI tool is actually safe before you connect it to your business data. If you’re layering AI-generated content or SEO tooling on top of your automations, Rankscale AI and our look at whether AI can generate full-stack SaaS apps yet are both worth a look.