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OpenAI Codex vs GitHub Copilot
A plain-English comparison to help you choose between them.
These two meet at the pull request from opposite directions. Pick OpenAI Codex when delegation leads: whole tasks handed to isolated cloud environments in parallel, pull requests returned for review, and its own review pass over GitHub pull requests. Pick GitHub Copilot for the incumbent in-editor assistant, with inline completions and chat across every major editor and a GitHub-native flow from issue to agent to pull request. Work you assign favours Codex; work as you type favours Copilot.
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Side by side
- Summary
OpenAI Codex is the agentic coding assistant included with paid ChatGPT plans rather than sold separately. It plans, writes and reviews code across a CLI, an IDE extension, the web and delegated cloud tasks, and since July 2026 its standalone desktop app lives on inside the ChatGPT desktop app.
Delegation is the distinctive move. Hand it a task and it works in an isolated cloud environment, several tasks in parallel, returning diffs and pull requests for review, and it reviews GitHub pull requests in turn. Successive GPT-5-class Codex models do the work.
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Usage is credit-metered following the April 2026 repricing, with local and cloud runs sharing five-hour rolling windows and weekly limits possible, so heavy delegation argues for a larger plan. The Free tier permits only quick exploration; real agentic use needs a paid plan.
- Best for
- Delegating coding tasks to parallel cloud environments
- Agentic coding bundled into an existing ChatGPT plan
- Automated first-pass review of GitHub pull requests
- One agent across CLI, IDE extension, web and desktop
- Technical founders shipping product without engineering headcount
- Cost
- Paid only
- Ease
- Openness
- Hosted service
- Data
- Codex is closed and cloud-run. Prompts, code and repository context are processed on OpenAI's services, so check the training and retention terms of your plan tier and the workspace-level data controls it carries before connecting private repositories. Treat agent output as untrusted until reviewed: agent-written code and auto-approved pull-request reviews need a human pass before production, especially around payments, auth and regulated data flows.
- Summary
GitHub Copilot is a coding assistant embedded across every major editor: inline completions, codebase-aware chat and a coding agent, wired into the GitHub workflow of repos, branches and pull requests. Scoped issues can go to the agent and come back as PRs, and an AI review pass can precede human eyes.
Its breadth is the moat: whatever your editor, Copilot is there, and the free tier for individuals makes it an easy first assistant to adopt.
MoreLess
Heavy agent use is metered through usage-based credits, which turned unbounded delegation into a budgeted activity worth capping deliberately.
- Best for
- Inline completions and chat across every major editor
- GitHub-native flow: issues to agent to pull request
- AI review passes before human review
- The broadest IDE and ecosystem support
- A free individual tier to start with
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Hosted service
- Data
- Business and Enterprise tiers exclude your code from training by default: essential for proprietary codebases; individual tiers should be checked. Review all generated code for correctness and security.
Pricing
- OpenAI Codex
Free·$8·$20·from $100$20/user·Custom
Prices as of August 2026.
- Free
- Free
- Go
- $8per month
- Plus
- $20per month
- Pro
- from $100per month
- Business
- $20per user, per month2+ users minimum; billed annually; $25 per user per month if billed monthly
- Enterprise & Edu
- Price on applicationno list price published
- GitHub Copilot
Free$10/user·$39/user·$100/user
Prices as of August 2026.
- Free
- Free
- Pro
- $10per user, per month
- Pro+
- $39per user, per month
- Max
- $100per user, per month
By area
Where each one pulls ahead, area by area.
| Area | OpenAI Codex | GitHub Copilot |
|---|---|---|
| By job | ||
| Founders & entrepreneurs | Codex hands complete tasks to a cloud agent and returns pull requests to review on your own schedule | GitHub Copilot costs nothing until the company can afford better: the free tier for individuals and students covers the founder writing alone, and an AI review pass arrives before merging at midnight with nobody else awake |
| Software development | Codex is built around delegation, handing a task to a cloud agent and getting a pull request back rather than completing lines as you type | GitHub Copilot keeps the accountability where it already sits: suggested code ships with your name on the commit, so review culture has to keep pace with the volume, and agent credit spend can be capped before a team-wide rollout |
| By task | ||
| Coding & software development | Codex leads with delegated cloud tasks and agentic pull-request review layered over interactive coding | GitHub Copilot is the category's common denominator: an agent that takes issues to pull requests and an AI review pass woven into GitHub itself, under enterprise controls organisations have already approved |
Common questions
Which is cheaper to start with?
GitHub Copilot: its free tier for individuals makes it the default first assistant, with heavy agent use metered later through usage-based credits worth capping deliberately. Codex has no genuinely free on-ramp, since the Free tier permits only quick exploration; real agentic use needs a paid ChatGPT plan, where it arrives bundled rather than as a separate line.
Both offer coding agents, so what actually differs?
Emphasis and habitat. Codex treats the agent as the product: several tasks run in parallel in isolated cloud environments, and it reviews GitHub pull requests in turn. Copilot's agent works GitHub-natively, taking scoped issues and returning pull requests, with an AI review pass before human eyes, but its centre remains completions and chat wherever you already code. Repo-scale autonomous work is stronger in the dedicated agents than in Copilot.
What should we budget for beyond the subscription?
Metering, on both sides. Codex runs are credit-metered, and OpenAI temporarily lifted the five-hour rolling window in July 2026, leaving weekly ceilings as the operative limit, so heavy delegation on a small plan still stalls mid-task and argues for sizing up. Copilot meters heavy agent use through usage-based credits, which turns unbounded delegation into a budgeted activity worth capping deliberately. Copilot is also cloud-only, so air-gapped environments need self-hosted alternatives.
Related comparisons
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Tool facts last checked August 2026