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GitHub Copilot vs OpenAI Codex

Two sides of the AI coding assistants decision: editor plugin and terminal agent. When each fits, what it costs, who moves from one to the other, and what makers who chose it say.

GitHub CopilotEditor pluginllms.txt
OpenAI CodexTerminal agentllms.txt
Ask your AI about this, with this page as the source:ChatGPT ↗Claude ↗Perplexity ↗

Which fits you

Choose GitHub Copilot if
  • You don't want to change editors

Use it whenYou don't want to change editors, or you want to start on a free tier.

Trade-offDeeper agent features vary by editor, and heavy use counts against plan limits.

Choose OpenAI Codex if
  • You're comfortable in a terminal and want to hand off whole tasks

Use it whenYou already pay for ChatGPT, or want an open-source CLI backed by OpenAI models.

Trade-offBuilt around OpenAI models, and usage limits depend on your ChatGPT plan.

At a glance

GitHub CopilotOpenAI Codex
Used by26 makers' products136 makers' products
Cost at default usagedevelopers 1 seat$10/mo Pro$8.00/mo ChatGPT Go
Moved to it on GitHubpull requests since Oct 202422 from OpenAI Codex14 from GitHub Copilot
Downloads★ 126.3k
PricingFree tier with limited completions; paid individual plans and per-seat Business/Enterprise plans with pooled usage credits. · paid from $10/moIncluded with ChatGPT plans (limited on Free; Go $8/month; Plus $20/month; Pro from $100/month; Business $20/user/month; Enterprise custom), extendable with credits; the CLI can also use an API key. · paid from $8/mo
Free tierYesYes
Open sourceNoYes
Incidents, 90 daysfrom its status page50+ (15 major)25+ (4 major)

Who moves from one to the other

Public pull requests on GitHub since Oct 2024 whose title says "GitHub Copilot to OpenAI Codex" or the reverse — real code changes, by developers in general rather than makers only.

OpenAI Codex → GitHub Copilot22 PRs
All matching pull requests on GitHub ↗
GitHub Copilot → OpenAI Codex14 PRs
All matching pull requests on GitHub ↗

What makers say

Makers on using it for AI coding assistants, from Product Hunt and Starter Story interviews, each linked to the source. Products with a page of their own and fuller notes first.

On GitHub Copilot
Our token compression technology has to be compatible and efficient with Github Copilot, so we have to use it extensively to understand how we can optimize its context.
Edgee, the makerSep 2026 ↗
Copilot is everywhere, but it often works in isolation. Stash MCP bridges it to your team’s repos, issues, and docs. Making Copilot way more context-aware.
Stash, the makerSep 2026 ↗
Copilot was the first agent I ran inside scritty every day; it set the bar for what a CLI agent's capture and replay had to feel like.
scritty, the makerSep 2026 ↗
17 more on the GitHub Copilot page →
On OpenAI Codex
Codex is one of the three harnesses HarnessRouter routes to, and we use it in our own build loop. Its structured output made it one of the cleanest harnesses to normalize against.
HarnessRouter, the makerSep 2026 ↗
Helps us move faster from idea to implementation. Useful for prototyping, debugging, and shipping production-ready changes. A fast, reliable coding partner during development.
GetThis, the makerSep 2026 ↗
Helps us move faster from idea to implementation. Useful for prototyping, debugging, and shipping production-ready changes. A fast, reliable coding partner during development.
GetThis, the makerMay 2026 ↗
101 more on the OpenAI Codex page →

Loved and watch-outs

Themes that recur in makers' words and Hacker News comments, each linked to what it summarises.

GitHub Copilot
Most loved
  • Inline completions work in every major IDE, including Vim and Visual Studio, cutting boilerplate as you type. PHPH 2
  • One subscription gives a choice of models from several labs, including some free ones. PHHN
  • Deep editor integration, such as a semantic index of the solution in Visual Studio and a read-only plan mode in VS Code. HNHN 2PH
Watch-outs
  • The switch to usage-based billing made it far worse value, driving people to other tools. HNHN 2HN 3HN 4
  • As an agent harness it trails Claude Code and Codex, with truncated or bloated context that confuses models. HNHN 2HN 3HN 4
  • Built-in pull request review misses too much and raises many wrong findings. HN
On Product Hunt: 4.8★, 34 reviews · mentioned most: productivity boost, suggests code snippets, focus on problem-solving
OpenAI Codex
Most loved
  • Takes complete repo-wide tasks, from implementation through tests, debugging and release prep, and verifies them in the same environment. PHPH 2PH 3PH 4
  • Particularly strong at backend architecture and tracking down bugs from vague descriptions. PHHN
  • Usage limits are generous compared with Claude Code and Cursor. PHPH 2
On Product Hunt: 5.0★, 96 reviews

Who uses each

GitHub Copilot26 makers' products
Beatoven.aiBilly.shBoltEdgeeKastraOpen PaperPackmind Open SourcePeakRoutinePerfai SecuritySalem RoboticsscrittyStash+14 more
OpenAI Codex136 makers' products
agent-managerAgent-SinAgentRailAlmanacAmamiAmnesiaAmy by JellyfishAskCodiBuildermarkChertChronockClick+124 more
Used by both — often one replacing the other, or each for a different part of the product
Edgee

What makers pair each with

With GitHub Copilot
Transactional Email
Hosting
Frontend Framework
With OpenAI Codex
Hosting
Frontend Framework
Transactional Email
LLM API

Neither quite right?

See the whole AI coding assistants decision →
CursorAI-first editorA VS Code-style editor with AI completions, chat and agents built in, keeping your VS Code extensions.vs GitHub Copilot →vs OpenAI Codex →
Devin Desktop (formerly Windsurf)AI-first editorA VS Code-style editor with unlimited Tab completions, an in-editor agent, and one place to manage local and cloud Devin agents.vs GitHub Copilot →vs OpenAI Codex →
Claude CodeTerminal agentHanding off multi-step tasks — features, refactors, bug hunts — to an agent that reads the repo, edits files and runs commands.vs GitHub Copilot →vs OpenAI Codex →
OpenCodeTerminal agentAn open-source coding agent that works with almost any model provider, local models, or an existing Copilot or ChatGPT subscription.vs OpenAI Codex →