Gumloop vs Make
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The Winner
Top Pick
Make
Wins for overall value, user satisfaction, and Complex visual workflow orchestration.
4.2 Rating
Yes Free Tier
$9/mo Starting Price
500K+ Users
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Quick Comparison
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Feature Breakdown
Gumloop Key Features
- Access to GPT-5, GPT-4.1, Claude 4, Claude 3.7 AI Models
- Workflow Triggers
- Concurrent Flow Runs
- Visual Canvas Interface (Zapier meets Figma)
- Unlimited Nodes & Flows
- Web Scraping & Chrome Extension
- Gummie AI Agent
- 115+ Pre-built Automation Blocks
Make Key Features
- Make AI Agents (beta) - autonomous decision-making agents that adapt workflows in real-time
- Maia AI - natural language scenario builder for creating automations through conversation
- AI Content Extractor - summarize and extract data from PDFs, images, and audio files
- Visual orchestration with drag-and-drop interface for complex workflows
- 2,000+ pre-built app integrations with 30,000+ actions
- Advanced routing and branching with filters and conditional logic
- OpenAI GPT-4o, o3, and Claude AI model integrations with custom provider support
- Transform scenarios into reusable API functions for modular AI agent tools
Gumloop
Strengths
- AI-First Architecture
- Frontier Model Access
- Flat Pricing as You Scale
- Real Business Impact
Limitations
Full Gumloop Review →
- Credit Consumption is Hard to Predict
- Steeper Learning Curve Than Zapier
- Smaller Integration Library
Make
Strengths
- Unmatched Visual Control
- AI Agents Transform Automation
- Exceptional Value at Scale
- Maia AI Accelerates Setup
Limitations
Full Make Review →
- Steeper Learning Curve
- AI Agents Still in Beta
- Error Messages Can Be Cryptic
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Gumloop Overview
If you need AI-powered automation beyond simple app-to-app triggers, Gumloop delivers. The Solo tier is worth it if you're automating AI-heavy workflows. The credit-based pricing stays flat as your workflows scale, unlike per-step competitors. Free tier (2,000 credits) lets you test before committing.
Best For:
- AI workflows with data extraction
- Complex automations with custom logic and branching flows
- Teams that need to scrape web data and process it with AI
- Growth and marketing teams doing lead enrichment, content pipelines, SEO workflows
- Organizations wanting flat pricing as workflows scale (not per-step billing)
- Non-technical teams building custom automations without developer resources
- Companies requiring SOC 2, GDPR compliance, and enterprise security (VPC, SSO, RBAC)
- Startups and SMEs needing to scale quickly by automating repetitive tasks
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Make Overview
If you've outgrown Zapier's linear flows or need visual control over complex logic, Make is worth the learning curve. The Core tier delivers serious power for the price. Pro unlocks AI Agents and priority execution. Teams is perfect for collaborative automation. Free tier lets you test with 1,000 ops/month.
Best For:
- Complex visual workflow orchestration
- Users who want granular control over data transformation without coding
- Businesses requiring advanced routing, filtering, and conditional logic
- Organizations seeking cost-effective automation at scale
- Teams managing multi-step workflows with numerous app integrations
- Users who prefer drag-and-drop interfaces over linear automation flows
- Companies needing real-time data flow visualization
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The Verdict
4.2/5
Winner Rating
Make is our top pick for most users, thanks to its higher user ratings.
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Gumloop vs Make FAQ
Both Gumloop and Make are excellent tools. Gumloop is better for AI workflows with data extraction, while Make excels at Complex visual workflow orchestration. Your choice depends on your specific needs and budget.
Gumloop pricing: Free tier available. Make pricing: Free tier available. Pricing varies, but compare features at each tier to find the best value for your needs.
Yes, many teams use multiple tools for different purposes. Gumloop might handle AI workflows with data extraction, while Make covers Complex visual workflow orchestration. Check integration options for both tools.
Both offer robust support. Gumloop provides standard support, while Make offers comprehensive support. Enterprise plans typically include dedicated support for both.
Consider switching if Make better fits your current needs. Key factors: Complex visual workflow orchestration, pricing alignment, and team workflow compatibility. We recommend trialing Make before making a full switch.
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