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Tool Automation freemium active 8-8.9
8/10 Strong
Active

$0-$29+/month

Best plan

$0-$29+/month

Risk: The main buyer risk is underestimating credit burn from...

Try Make free

Editorial · no paid placements

Should you use it?

Make is the cost-efficient visual automation platform. Pick it for complex branching workflows and high volume at a fraction of Zapier's price. Skip for the widest integration library (Zapier wins) or open-source self-hosting (n8n).

  • Buy if Complex multi-step workflows with branching and loops
  • Pick $0-$29+/month
  • Skip if Teams needing 9,000+ integrations

Plan guidance

What to buy

Best plan $0-$29+/month

Watch: The main buyer risk is underestimating credit burn from...

Price range $0-$29+/month

$0 / $9 / $16 / $29 / custom at 10K-credit public tier

Upgrade only if Not for teams needing 9,000+ integrations

The main buyer risk is underestimating credit burn from...

Current pricing source: Source

Fit

Use it for this, skip it for that

Best for

  • Complex multi-step workflows with branching and loops
  • Cost-efficient automation at scale
  • Technical operators who want a visual canvas
  • AI-augmented data pipelines using GPT, Claude, Gemini

Avoid if

  • Teams needing 9,000+ integrations
  • Non-technical users on day one
  • Self-hosting or data-residency needs
Watch out
The main buyer risk is underestimating credit burn from high-frequency scenarios, nested routes, polling, retries, and AI steps; audit operations before migrating mission-critical workflows.

Recent changes

Only what affects the decision

  1. Free / Core / Pro / Teams / Enterprise

    Reverified public pricing, 3,000+ apps, MCP Server, AI Web Search beta, Make AI Agents beta, AI Toolkit, and Make Code App credit...

    Source
  2. Free / Core / Pro / Teams / Enterprise

    Reverified current pricing, 3,000+ standard apps, MCP Server, AI Web Search beta, Make AI Agents beta, AI Toolkit, and code-app credit usage

    Source
  3. Core / Pro / Teams

    Headline price drop. Core $10.59 to $9, Pro $18.82 to $16, Teams $34.12 to $29. Credits and tier features otherwise unchanged

    Source

Alternatives

Best swaps

Microsoft Agent Framework

Microsoft's open-source agentic AI engine, merging Semantic Kernel and AutoGen, now sitting beside the Work IQ, Foundry, Copilot

Free (open source) · 9/10 Langfuse

Open-source LLM engineering platform for observability, prompt management, evals, datasets, and OpenTelemetry tracing. ClickHous

$0 free / $29 Core / $199 Pro / $2,499 Enterprise · 8.8/10 LangGraph

LangChain's low-level orchestration runtime for long-running, stateful AI agents. MIT-licensed Python and JavaScript libraries;

$0 library / $39 Plus / usage-based deployment · 8.8/10
Build comparison
Proof and score math Verified Jun 25

Proof

Why this recommendation is trusted

Evidence Make Help Center
Source
Registered source
Freshness
Current
Confidence
High confidence
Verified
Review
Volatility
Volatile

High-volatility evidence needs frequent review.

Editorial score

Unweighted average of 4 axes · confidence high

  • Utility 8/10

    How much real work it can do for a competent operator, end to end.

  • Value 9/10

    What you get for the dollar relative to the closest alternative.

  • Moat 7/10

    How hard it would be for a competitor to replicate the underlying advantage.

  • Longevity 8/10

    How likely the product is to still be best-in-class 24 months out.

Verified facts

  1. Best For Make is best for teams that want visual, multi-step automation across SaaS apps, APIs, routers, iterators, and data transformation without owning custom orchestration code.
    high Stable 2026-06-25 Make Help Center
  2. Pricing Anchor Make pricing is credit-based, so cost governance should model scenario frequency, module count, code execution, AI Agents, AI Toolkit usage, and AI-module usage rather than only the number of workflows. Current public pricing still lists Free, Core $9, Pro $16, Teams $29, and Enterprise custom at the 10K-credit monthly tier.
    high Volatile 2026-06-25 Source
  3. Watch Out For The main buyer risk is underestimating credit burn from high-frequency scenarios, nested routes, polling, retries, and AI steps; audit operations before migrating mission-critical workflows.
    high Drifts 2026-06-25 Source
  4. Integration Surface Make publishes 3,000+ standard apps plus custom app, API, webhook, and enterprise-app paths, making it strongest when buyers need packaged app connectors plus custom HTTP/API steps in the same scenario.
    high Drifts 2026-06-25 Make app integrations
  5. Ai Agent Surface Make now positions AI Agents, MCP Server, AI Toolkit, AI Web Search, and 350+ AI apps as part of the automation platform, so comparisons should distinguish deterministic scenarios from agentic workflows that can consume extra credits.
    high Drifts 2026-06-25 Make AI Agents
Full review notes Long-form details, FAQ, and source history

Make is the visual workflow automation platform built by the team formerly known as Integromat. Scenarios combine drag-and-drop modules into flows with routers, iterators, aggregators, and error handlers. The current pricing page lists 3,000+ standard apps, plus HTTP, webhooks, APIs, custom apps, MCP, AI Toolkit, AI Web Search, Make Code App, and Make AI Agents.

Pricing runs $0 to $29+/month at the public 10K-credit tier, with Enterprise custom. Credits replaced operations as the billing unit to reflect AI-module and workflow execution cost.

System Verdict

Pick Make if workflows branch, loop, or run at volume., AI Web Search, and 350+ AI apps now sit alongside SaaS connectors in one scenario.

Skip it if the integration library matters more than the canvas. Zapier ships 9,000+ connectors to Make’s 3,000+ standard apps. Non-technical first-time users often land faster on Zapier. Regulated teams needing self-host belong on n8n.

Who pays which tier: Free for 1,000-credit testing, Core $9/mo for most teams, Pro $16/mo for priority execution and custom variables, Teams $29/mo for collaboration, Enterprise custom for governance and scale.

Key Facts
Core productScenarios (visual multi-step workflows)
Integration count3,000+ standard apps
AI surfaceMake AI Agents beta · Make MCP Server · AI Toolkit · AI Web Search beta · 350+ AI apps
Billing unitCredits (replaced operations, August 2025)
PricingFree · Core $9 · Pro $16 · Teams $29 · Enterprise custom
Free tier1,000 credits/mo · 2 active scenarios · 15-min interval
Self-hostNone
Logic supportRouters, iterators, aggregators, error handlers, filters
Template library10,000+ community and official

Every data point above was verified against vendor sources on 2026-06-25. See Sources.

What it actually is

A visual automation canvas where each app connector is a module and data flows through the pipes you draw. Scenarios trigger on events and pass structured data through routers (branching), iterators (loops), and aggregators (collection) before landing in downstream modules.

Credits replaced operations as the billing unit. Each module execution consumes credits, and the pricing page now also exposes credit costs for code execution and AI-heavy features. AI steps, agents, web search, and custom provider connections need their own usage tests before production rollout.

The moat is the pricing model, not the tool itself. Where Zapier charges per step of a multi-step workflow, Make charges per operation at roughly a third the cost. Complex scenarios stay affordable. The trade-off is a steeper learning curve and a narrower integration library.

When to pick Make

  • Workflows loop or branch more than twice. Routers and iterators are first-class. Zapier Paths feel bolted on past 3-4 branches.
  • Monthly task volume passes 5,000. Zapier task pricing inflates fast. Make’s Core plan covers 10,000 credits for $9 after the May 2026 cut.
  • AI sits inside the workflow. Make AI Agents, AI Toolkit, AI Web Search, MCP, OpenAI, Anthropic Claude, Google Vertex AI/Gemini, Azure OpenAI, Mistral, Perplexity, Hugging Face, ElevenLabs, and other AI apps can sit beside business connectors.
  • The operator is technical but not a developer. The canvas assumes comfort with data structures and conditional logic, not code.
  • Predictable cost matters. Credit pricing stays flat as the workflow grows. Per-task models punish every new step.

When to pick something else

  • Maximum integration breadth: Zapier ships 9,000+ apps, still far ahead of Make’s 3,000+ standard apps. Long-tail SaaS tools are usually on Zapier first.
  • Self-hosting or data residency: n8n. Free to self-host with unlimited executions.
  • LangChain-native LLM pipelines: Langflow. Visual canvas for RAG, multi-agent, and retrieval chains.
  • Customer-facing conversational agents: Voiceflow. Built for support and voice, not ops workflows.
  • Non-technical first-time users: Zapier. Lower learning curve, AI Copilot builds flows from prompts.

Pricing

Subscription pricing via make.com/pricing. Annual billing saves roughly 15% over monthly rates.

PlanMonthlyCreditsKey limitsWho’s it for
Free$01,000/mo2 active scenarios, 15-min intervalTesting
Core$910,000/moUnlimited scenarios, 1-min intervalMost teams land here
Pro$1610,000/moPriority execution, custom variables, full-text log searchGrowing ops
Teams$2910,000/moTeam management, shared scenarios, rolesCollaborative teams
EnterpriseCustomCustomSSO, 24/7 support, enterprise apps, governance, Value Engineering teamRegulated orgs

Prices verified 2026-06-25 via Make pricing. Rates shown are for the public 10K-credit monthly tier. Annual billing saves 15% or more. Additional credits are available, and Make’s pricing page says code execution consumes 2 credits per 1 second of code execution time.

Against the alternatives

MakeZapiern8n
Integration count3,000+9,000+500+
Pricing modelCredits (per module action)Tasks (per action)Executions (cloud) or free (self-host)
Cost at 10,000 actions/credits$9/mo Core at 10K creditsHigher task tier requiredFree self-host
Branching and loopsNative routers and iteratorsPaths on ProfessionalNative
Self-hostNoneNoneYes, free
AI integrationAI Agents, MCP, Toolkit, Web Search, AI apps, SDK, CopilotNative AI Agent nodes
Learning curveModerateLowestSteepest
Best viewed asCost-efficient specialistIncumbent generalistDeveloper-friendly open source

Failure modes
  • Interface lag on large scenarios. Canvases with 50+ modules slow the browser. Heavy users split long scenarios into sub-flows.
  • Fewer integrations than Zapier. 3,000+ covers mainstream SaaS, but niche tools may still need HTTP modules and hand-built OAuth.
  • AI modules burn credits faster. A single OpenAI frontier models call can consume several credits. Credit forecasts built on non-AI modules underestimate real cost.
  • Credits model is newer than many guides. Content published before August 2025 still references operations. Plan sizing needs to use current pricing, not old articles.
  • AI Agents are still a buyer-modeling surface. Make AI Agents are now part of the platform, but buyers should test decision quality, credit usage, approvals, logs, and handoff behavior before replacing deterministic scenarios.
  • Cloud only. No self-host path. Data routes through Make servers.
  • No workflow export to other platforms. Migration to n8n or Zapier is a rebuild.

Methodology

This page was produced by the aipedia.wiki editorial pipeline, an automated system that ingests vendor documentation, verifies pricing and feature details against primary sources, and generates the editorial analysis you are reading. No individual human wrote this review. Scoring follows the four-dimension rubric at /about/scoring/ (Utility x Value x Moat x Longevity, unweighted average). Last verified 2026-06-25 against the Make pricing page, Make AI Agents, and Make’s help center billing notes.

FAQ

Is Make free? Yes. The Free plan includes 1,000 credits/month, 2 active scenarios, and 15-minute scheduling intervals. Suitable for testing and light personal automations (Make pricing).

How much does Make cost at scale? Core is $9/mo for 10,000 credits. Pro is $16/mo adding priority execution and custom variables. Teams is $29/mo for collaboration. Enterprise is custom (Make pricing).

Make vs Zapier? Make is usually more cost-efficient for branched, repeated workflows. Zapier ships 9,000+ integrations vs Make’s 3,000+ standard apps. Pick Make for complex workflows and cost efficiency, Zapier for maximum app coverage and simpler setup.

What changed with credits? Credits replaced operations as the billing unit. AI modules, code execution, AI Agents, and search/tooling features can consume credits differently from simple connectors, so plan sizing based on old operations counts may underestimate cost.

Can Make be self-hosted? No. Make is cloud-only. n8n is the standard pick for self-hosted workflow automation.

Sources
  • Make pricing (verified 2026-06-25): current plan rates, credit limits, 3,000+ app count, AI Toolkit, AI Web Search, MCP, Make Code App, and AI Agents pricing-surface signals
  • Make AI Agents (verified 2026-06-25): agent positioning and AI app ecosystem
  • Make integrations directory (verified 2026-06-25): live app catalog
  • Make billing notes (verified 2026-06-25): extra-credit and custom AI provider changes
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According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/make/)
aipedia.wiki Editorial. (2026). Make: Editorial Review. aipedia.wiki. Retrieved July 2, 2026, from https://aipedia.wiki/tools/make/
aipedia.wiki Editorial. "Make: Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/make/. Accessed July 2, 2026.
aipedia.wiki Editorial. 2026. "Make: Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/make/.
@misc{make-editorial-review-2026, author = {{aipedia.wiki Editorial}}, title = {Make: Editorial Review}, year = {2026}, publisher = {aipedia.wiki}, url = {https://aipedia.wiki/tools/make/}, note = {Accessed: 2026-07-02} }
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