Devin vs OpenAI Codex

Devin and OpenAI Codex 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

DevinOpenAI Codex
CategoryAI Programming · Smart ProgrammingAI Programming · Smart Programming
PricingFree tier: yes. Pro $20/mo, Max $200/mo. Teams $80/mo plus $40/seat. (checked Oct 10, 2026)Included with ChatGPT Free/Go (limited), Plus $20/mo, Pro for higher limits. (checked Oct 11, 2026)
Pros
  • 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
  • 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)
Catches
  • Less reliable on vague or complex work (per reviews)
  • Every PR still needs human review
  • Overages beyond quota get billed
  • 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
Best forTeams offloading well-scoped tickets, tests and migrations.ChatGPT subscribers who want an included coding agent.
Skip it ifYou expect it to handle fuzzy, complex features alone.You need predictable, published usage caps.

Which should you pick?

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)

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.

More options

Sources

Devin

OpenAI Codex

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.