AI · head to head
LangGraph vs Make
The short version
- Each has a real cost: LangGraph steeper learning curve compared to high-level abstractions; Make free tier limited to 1,000 credits per month
- They diverge on capability: LangGraph covers Human-in-the-loop controls, Make covers Visual workflow builder.
Where they differ
Only the attributes on which LangGraph and Make actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in LangGraph
- Human-in-the-loop controls
- Customizable workflows
- Memory management
- Token-by-token streaming
- Low-level control
- Multi-agent support
Only in Make
- Visual workflow builder
- Webhooks
- API connectors
- Conditional logic
- Data transformation
- Error handling
- Scheduling
- Team collaboration
What people use each for
The jobs each tool is most often brought in to do.
LangGraph
- Building production AI agents with auditable workflowsnot Make
- Designing multi-agent systems for complex tasksnot Make
- Implementing human oversight in autonomous systemsnot Make
- Creating reliable agentic applications at scalenot Make
Make
- Automating integrations between 3,000+ pre-built applicationsnot LangGraph
- Building AI agents and workflow automation without extensive codingnot LangGraph
- Enterprise automation with GDPR, SOC 2 Type II compliancenot LangGraph
- Rapid deployment of automations from concept to livenot LangGraph
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
LangGraph
- Steeper learning curve compared to high-level abstractions
- Requires understanding of graph-based architecture
- Debugging complex workflows can be challenging
- Not optimized for simple, one-off use cases
Make
- Free tier limited to 1,000 credits per month
- Free tier restricted to 2 active scenarios maximum
- Free tier enforces 15-minute minimum scheduling interval
- Credit-based model means costs scale with usage volume, not just features
Pricing, plan by plan
LangGraph
Free- Open SourceFree
- MIT-licensed framework
- Self-hosted deployment
- Full API access
- LangGraph Platform$35/month
- Managed hosting
- Enterprise deployment
- Integrated tooling
Make
FreeNo published plan breakdown. See the Make review.
Which should you pick?
Choose LangGraph if
- You need human-in-the-loop controls.
- You want to start without paying.
- You work on Python, JavaScript, Web.
- You also want customizable workflows.
Choose Make if
- You need visual workflow builder.
- You want to start without paying.
- You also want webhooks.
Questions people ask
- Is LangGraph or Make better?
- Neither clearly leads. LangGraph starts at Free and Make at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, LangGraph or Make?
- LangGraph starts at Free and Make at Free.
- Does LangGraph or Make run on more platforms?
- LangGraph runs on Python, JavaScript, Web. Make runs on Web.
- Can I use LangGraph for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is LangGraph best used for?
- LangGraph is most often used for building production ai agents with auditable workflows, designing multi-agent systems for complex tasks, implementing human oversight in autonomous systems, creating reliable agentic applications at scale. Of those, building production ai agents with auditable workflows and designing multi-agent systems for complex tasks are not what Make is typically brought in for.
- What can LangGraph do that Make cannot?
- LangGraph covers Human-in-the-loop controls, Customizable workflows, Memory management, Token-by-token streaming. Make covers Visual workflow builder, Webhooks, API connectors, Conditional logic.
Answered from the vendors’ own pages
LangGraph: Is LangGraph free to use?
Yes. The core LangGraph framework is MIT-licensed and completely free. You only pay if you use the optional managed LangGraph Platform for hosting.
SourceMake: How is Make priced and does the free plan expire?
Make offers a free plan with 1,000 credits per month at no cost and no time limit. The free plan includes the no-code workflow builder, access to 3,000+ apps, and customer support. Paid tiers (Core, Pro, Teams) are $9-$29/month with 10,000+ credits included.
SourceLangGraph: What programming languages does LangGraph support?
LangGraph provides first-class support for Python and JavaScript, enabling cross-platform agent development.
SourceMake: What happens if I exceed my monthly credits?
Extra credits beyond the monthly allowance can be purchased in bundles of 1,000 or 10,000. Auto-purchasing is available for Core, Pro, and Teams plans to automatically buy additional credits when needed.
SourceLangGraph: Can I deploy LangGraph in production?
Yes. LangGraph can be self-hosted on your own infrastructure or deployed through LangGraph Platform with enterprise support and SLA guarantees.
SourceMake: Can I save money by switching to annual billing?
Yes, annual plans offer 15% or more savings compared to monthly billing. Monthly subscriptions continue until the end of the billing month, while annual plans run for 12 months.
SourceMake: What happens to unused credits if I cancel?
Unused monthly credits expire at the end of each billing cycle. With annual subscriptions on Pro and Teams plans, credits are maintained for the full 12-month term. Users can cancel at any time and the organization converts to the free plan after the current billing cycle ends.
SourceMake: How many active scenarios can I create on the free plan versus paid plans?
The free plan is limited to 2 active scenarios and has a 15-minute minimum interval between runs. Paid plans (Core and above) offer unlimited active scenarios with the ability to schedule runs down to the minute.
SourceRelated pages
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- Make vs D-ID
- Make vs Fathom
- Make vs Together AI
- Make vs Stable Diffusion
- Make vs Arize AI
- Make vs ChatGPT
- Make vs Perplexity
- Make vs AutoGen
- Make vs Black Forest Labs
- Make vs Cartesia
- Make vs Deepgram
- Make vs Galileo
- Make vs Helicone
- Make vs Ideogram
- Make vs Jasper
- Make vs Lindy
- Make vs HubSpot CRM
- Make vs Fireflies.ai
- Make vs Gather
- Make vs IFTTT
- Make vs Otter.ai
- Make vs tl;dv
- Make vs Vidyard
- Make vs ConnectWise
- Make vs Grain
- Make vs Kaseya VSA
- Make vs Krisp
- Make vs Mmhmm
- Make vs Monday Sales CRM
- Make vs Mural
- Make vs N-able N-central
- Make vs Pop
- Make vs Slack Workflow Builder
- Make vs Splashtop


