OpenAI Codex vs Devin

OpenAI Codex and Devin are both AI Coding tools (Coding Agents). Below: what each costs, what it does well, its biggest catches, and who should pick which, all from public sources rather than our own testing.

Side by side

OpenAI CodexDevin
CategoryAI Programming · Smart ProgrammingAI Programming · Smart Programming
PricingIncluded with ChatGPT Free/Go (limited), Plus $20/mo, Pro for higher limits. (checked Oct 11, 2026)Free tier: yes. Pro $20/mo, Max $200/mo. Teams $80/mo plus $40/seat. (checked Oct 10, 2026)
Pros
  • Included with ChatGPT plans, Free and Go included
  • Runs coding tasks in the cloud, CLI and IDE
  • Pro tier removes the five-hour limit (weekly limits can still apply)
  • An autonomous cloud coding agent for scoped tickets
  • Free tier, and Pro is $20/mo
  • Self-serve plans now bill in dollars at API rates instead of ACUs
Catches
  • Usage pool is shared with other ChatGPT agent features, so it can drain fast
  • Users report five-hour and weekly limits running out in hours on heavier models
  • Metering depends on model, context and reasoning, so it's hard to predict
  • Less reliable on vague or complex work (per reviews)
  • Every PR still needs human review
  • Overages beyond quota get billed
Best forChatGPT subscribers who want an included coding agent.Teams offloading well-scoped tickets, tests and migrations.
Skip it ifYou need predictable, published usage caps.You expect it to handle fuzzy, complex features alone.

Which should you pick?

Pick OpenAI Codex if…

you fit this: chatGPT subscribers who want an included coding agent.

But not if: you need predictable, published usage caps.

Watch out for: Usage pool is shared with other ChatGPT agent features, so it can drain fast.

Pick Devin if…

you fit this: teams offloading well-scoped tickets, tests and migrations.

But not if: you expect it to handle fuzzy, complex features alone.

Watch out for: Less reliable on vague or complex work (per reviews)

More options

Sources

OpenAI Codex

Devin

Pros, catches and prices are compiled from public sources (official pricing and docs pages, published reviews, user reports), not hands-on testing. Prices change often, so check the vendor page before you buy.