Head-to-head · facts checked 13 Sept 2026
Make vs Relevance AI
Relevance AI uniquely has 6 features.
From
$10.59/mo — Core
Free plan
Yes — Free plan with 1
From
$29/mo — Pro
Free plan
Not publicly stated
The verdict
Make or Relevance AI?
Section 01
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Make
Core
$10.59/mo (up to $241.31/mo) · $108/yr (up to $2,185.96/yr)
10k credits/mo (up to 300,000 credits/mo); unlimited active scenarios, Make API access
Pro
$18.82/mo (up to $5,660.47/mo) · $192/yr (up to $57,736/yr)
10k credits/mo (up to 8 million credits/mo); priority execution, custom variables, full-text log search
Teams
$34.12/mo (up to $9,683.59/mo) · $348/yr (up to $98,772/yr)
10k credits/mo (up to 8 million credits/mo); teams and team roles, create and share scenario templates
Enterprise
Custom
Custom pricing; custom functions, enterprise app integrations, 24/7 support, overage protection
Relevance AI
Relevance AI does not publish a plan list we could read.
Section 02
Pros and cons
From each tool's full review, written from the same checked facts.
Make
Pros
- The visual canvas builder lets users construct complex multi-step automation workflows without writing a single line of code.
- Routers, iterators, and aggregators enable branching, conditional logic, and array processing that most competing tools cannot handle.
- Real-time data flow visualization allows users to watch data move through each module as a scenario runs, making debugging more intuitive.
- Generous free plan includes 1,000 operations per month and two active scenarios, with paid plans starting at just $10.59 per month.
- Supports over 500,000 users and is considered a category fixture, not a fringe alternative to mainstream automation tools.
- Handles genuinely complicated, non-linear workflow logic that goes far beyond what linear automation tools like Zapier can manage.
- Consistently described by G2 reviewers as the most powerful no-code automation tool they have ever used.
Cons
- Steep learning curve means new users need significant time investment before they can use the platform effectively.
- The complexity of the interface can be overwhelming for users who only need simple, linear automations.
- The free plan is limited to just two active scenarios, which may not be sufficient for users with multiple automation needs.
- The rebrand from Integromat to Make in 2022 may cause confusion for users researching or referencing older documentation and tutorials.
- Enterprise pricing is custom and undisclosed, making it difficult for larger teams to budget without contacting sales.
- The platform's power comes with a trade-off: the same features that enable advanced workflows add friction for straightforward use cases.
Relevance AI
Pros
- Supports building teams of specialist AI agents rather than one general-purpose bot, allowing each agent to be optimized for its specific task.
- Multi-model LLM router automatically benchmarks and routes tasks to the cheapest model that meets quality requirements, reducing costs.
- Over 1,000 app integrations available including Salesforce, HubSpot, Slack, and Google Workspace.
- Enterprise-grade features including role-based access control, SSO, and audit logs make it suitable for serious business deployments.
- No-code visual agent builder allows non-technical users to build, wire, and deploy agents without writing code.
- Dedicated deployment team helps customers go live, reducing time-to-value for mid-market and enterprise buyers.
- Architecturally distinct from most automation platforms with an agent-first workflow structure built for revenue-facing teams.
Cons
- Not designed for hobbyists or personal automation use cases — the platform is explicitly enterprise and mid-market focused.
- The ambitious multi-agent architecture may introduce complexity that smaller teams or simpler use cases don't need.
- Pricing and feature depth suggest a significant investment, likely inaccessible to startups or budget-constrained buyers.
- The platform's novelty means fewer established best practices or community resources compared to more mature tools.
- Agent-first structure may require a shift in how teams think about automation, creating an adoption learning curve.
Side by side
| Company | ||
| Founded | 2012 | 2020 |
| HQ | Prague, Czech Republic | Sydney, Australia |
| AI model | OpenAI GPT (via integration), proprietary orchestration | Multi-model (GPT, Claude, Gemini, Kimi, GLM — vendor agnostic) |
| User base | 500K+ | — |
| Platforms | Web | Web |
| Languages | 25+ | English primarily |
| Pricing | ||
| Pricing model | Subscription | Custom |
| Free plan | Yes — Free plan with 1,000 operations/month and 2 active scenarios | — |
| Free trial | Yes — Free plan available indefinitely | — |
| Starting price | $10.59/mo — Core | $29/mo — Pro |
| Enterprise | Custom | Contact sales |
| All plans | Core — $10.59/mo (up to $241.31/mo) Pro — $18.82/mo (up to $5,660.47/mo) Teams — $34.12/mo (up to $9,683.59/mo) Enterprise — Custom | — |
| Positioning | ||
| Best for | No-code/low-code automation builders, SMBs, agencies, and enterprises needing visual workflow automation | Companies looking to decouple growth from headcount via an AI Workforce |
| Differentiator | Make's visual drag-and-drop scenario builder with advanced data mapping, iterators, and routers provides unmatched flexibility for complex multi-step automations without code. | Technical reviewers occasionally mention debugging, documentation, and customization friction |
| Competitors | Zapier, n8n, Workato, Tray.io, Power Automate | Zapier, Make, Cohere, LangChain, CrewAI, Dust.tt, Braintrust |
| Features | ||
| Custom Actions | — | ✓ |
| Custom Vendor Credits | — | ✓ |
| Dedicated Account Manager | — | ✓ |
| SSO, Rbac & Audit Logs | — | ✓ |
| Unlimited Agents & Tools | — | ✓ |
| Unlimited Workforces | — | ✓ |
| AI Agents | ✓ | ✓ |
| API Webhooks | ✓ | ✓ |
| Conditional Logic | ✓ | ✓ |
| Custom Code | ✓ | ✓ |
| Data Transform | ✓ | ✓ |
| Error Handling | ✓ | ✓ |
| Execution Logs | ✓ | ✓ |
| Human in Loop | ✓ | ✓ |
| Num Integrations | 3,000+ | 1,000+ |
| Scheduled Runs | ✓ | ✓ |
| Team Features | ✓ | ✓ |
| Trigger Types | webhook / schedule / instant (real-time) / polling / email / RSS / watch | Event/signal triggers, scheduled runs, webhooks, app-based triggers |
| Visual Builder | ✓ | ✓ |
| Integrations | ||
| API Access | ✓ | ✓ |
| Google Workspace | ✓ | ✓ |
| Key Integrations | OpenAI, Google Workspace, Slack, HubSpot, Airtable | Salesforce CRM, Slack, HubSpot, Zapier-equivalent triggers, Google Workspace |
| Openai Integration | ✓ | ✓ |
| Slack | ✓ | ✓ |
| Webhook Support | ✓ | ✓ |
Section 03
Make vs Relevance AI: common questions
Is Make or Relevance AI cheaper?
Make's cheapest paid plan is $10.59/mo — Core and Relevance AI's is $29/mo — Pro. Compare what each plan includes below before going on price alone.
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