AI Agent Index

ChatGPT Agent vs Make (2026)

Side-by-side comparison of ChatGPT Agent vs Make — pricing, capabilities, integrations, deployment complexity, and ratings. Last updated May 2026.

Data sourced from The AI Agent Index · Updated daily

ChatGPT Agent logo

ChatGPT Agent

by OpenAI

OpenAI's autonomous web-task agent inside ChatGPT. Reasons, browses, fills forms, edits spreadsheets, and connects to email, files, and apps -- with user takeover for sensitive steps. Replaces the original Operator product. From $20/mo via ChatGPT Plus.

subscriptionB2B
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Make logo

Make

by Celonis (Make)

Visual workflow automation platform with advanced branching and data manipulation — connects 2,000+ apps with a drag-and-drop scenario builder for complex multi-step business automations.

freemiumSMB
Visit Make
FeatureChatGPT AgentMake
Pricing modelsubscriptionfreemium
Starting price$20/mo$9/mo
Customer segmentB2BSMB
Deploymentweb, mobile, desktopcloud
Setup difficultyeasymoderate
Avg setup timeunder 1 minute (select agent mode in composer or type /agent)
Rating4.3 / 5

Capabilities

ChatGPT Agent

autonomousworkflow-builderweb-searchschedulingdata-analysisno-code

Make

no-codeworkflow-builderdata-analysiscrm-syncreporting

Pros & Limitations

Editorial assessment

ChatGPT Agent

Pros

  • Genuine autonomous multi-tool execution -- combines visual browser, code interpreter, terminal, and app connectors in a single agent loop, which most competitors cannot match in scope
  • Strong human-in-the-loop safety design -- mandatory takeover for credentials/payments, watch mode on sensitive sites, refusal patterns for high-stakes tasks (banking, hiring decisions); reduces accidental misuse versus pure-automation tools
  • Enterprise governance is comprehensive -- RBAC, website allow/block lists, EU data residency, Compliance API logging, default zero-training on Business/Enterprise/Edu data; meaningfully ahead of newer agent products on procurement-readiness

Limitations

  • Message limits are tight at the Plus tier (40/month) and only Pro at $200/month unlocks daily heavy use -- the per-message economics make this expensive for high-volume workflows compared to dedicated browser-automation tools
  • Cannot do banking transactions or high-stakes hiring/legal decisions by design -- this is correct safety behavior but it means workflows that touch those domains require humans in critical steps, breaking automation continuity
  • Subject to a website blocklist that prevents access to certain sites for security and compliance reasons -- enterprise users may find specific internal or vendor portals are blocked and require allowlist requests through the OpenAI account team to unblock

Make

Pros

  • Visual scenario builder handles complex branching, iteration, and data transformation that Zapier's linear editor cannot match
  • Operation-based pricing is significantly more cost-effective than Zapier at high volume -- same workflows cost substantially less
  • Connects 2,000+ apps with detailed control over data mapping and error handling at each step

Limitations

  • Steeper learning curve than Zapier -- building first scenarios takes meaningful time investment for non-technical users
  • Smaller app library than Zapier at 2,000+ vs 8,000+ -- some niche tools lack native Make connectors
  • No self-hosting option -- data passes through Make infrastructure, limiting use for strict compliance environments

Frequently asked questions

What is the difference between ChatGPT Agent vs Make?

See the full comparison above.

Which is best for my team — ChatGPT Agent vs Make?

How does pricing compare between ChatGPT Agent vs Make?

ChatGPT Agent uses a subscription model, starting at $20 per month. Make uses a freemium model, starting at $9 per month.

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