Devin vs OpenAI Codex
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Devin if you want autonomous ai software engineer that takes delegated tickets to a reviewed pr (Supervised agent, usage); choose OpenAI Codex if you want openai's coding agent that writes, tests, and reviews code in the cloud, cli, and ide (Supervised agent, subscription).
| Devin | OpenAI Codex | |
|---|---|---|
| What it is | Autonomous AI software engineer that takes delegated tickets to a reviewed PR | OpenAI's coding agent that writes, tests, and reviews code in the cloud, CLI, and IDE |
| Type | agent | product-with-agents |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | usage · $20/mo + usage (ACU credits) | subscription · Included in ChatGPT plans (Free, Go $8/mo, Plus $20/mo, Pro from $100/mo); CLI also usable with an OpenAI API key (usage-based) |
| Best for | enterprise, mid-market, developers | developers, smb, enterprise |
| Deployment | saas, api | saas, api |
| Modalities | text, code, browser, api | text, code |
| Models | claude, proprietary | gpt, proprietary |
| Protocols | mcp, rest-api, function-calling | mcp, function-calling, rest-api |
| Integrations | GitHub, GitLab, Bitbucket, Slack, Microsoft Teams, Jira | GitHub, Slack, Linear, VS Code, JetBrains, Xcode |
| Capabilities | 4 documented | 5 documented |
Devin
- +Genuinely async, delegated model: handles whole tickets and large parallel migrations rather than line-by-line autocomplete
- +Deep workflow integration (Slack, Jira, Linear, GitHub) plus DeepWiki codebase indexing and a public API
- +Validated at large, complex enterprises
- -Best on clear, verifiable tasks; Cognition's own framing acknowledges it can make mistakes or get stuck on complex work and needs human review
- -Usage-based ACU billing can get expensive and unpredictable on open-ended work
OpenAI Codex
- +One coding agent across cloud, terminal, IDE, and GitHub from a single account
- +Cloud tasks run in parallel in isolated sandboxes and return reviewable diffs and test logs
- +Open-source CLI with configurable sandbox and approval modes, plus MCP support
- -Agentic tasks require human review and approval; not a hands-off autonomous engineer
- -Cloud usage is rate-limited per 5-hour window and scales with plan tier
Which should you choose?
Devin is autonomous ai software engineer that takes delegated tickets to a reviewed pr, best for enterprise, mid-market, developers. OpenAI Codex is openai's coding agent that writes, tests, and reviews code in the cloud, cli, and ide, best for developers, smb, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.