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Jan vs OpenAI Codex

An open-source, offline ChatGPT alternative that runs AI models locally on your computer. Jan is a friendly desktop app (Windows, Mac, Linux) that downloads open models and keeps every conversation 100% private — no account, no cloud.

Winner: OpenAI Codex(⭐ 4.8)

🧠 Expert verdict

Our expert verdict: OpenAI Codex is the stronger all-round choice, scoring 4.8/5 versus 4.6/5 for Jan, and it stands out for "Runs from CLI, IDE, web and mobile". If budget is your priority, Jan (Free / Open Source) is the more affordable option. Choose OpenAI Codex if you want the best code tool overall, especially for multi-file refactors; pick Jan if "Offline, 100% private AI chat" matters more for your workflow.

Jan

An open-source, offline ChatGPT alternative that runs AI models locally on your computer. Jan is a friendly desktop app (Windows, Mac, Linux) that downloads open models and keeps every conversation 100% private — no account, no cloud.

Visit Jan

OpenAI Codex

OpenAI's autonomous coding agent powered by the GPT-5 family. It reads your codebase, writes and edits code, runs tests and opens pull requests — and can run several tasks in parallel from the CLI, VS Code, web or mobile.

Visit OpenAI Codex
CriteriaJanOpenAI Codex
Rating
4.6/5
4.8/5
Pricing
Free / Open Source
In ChatGPT: Free / Plus $20/mo / Pro from $100/mo
Category
code
code
Popularity
👍 Medium
🔥 Very High
Value for Money
⭐⭐⭐ Excellent
⭐⭐ Good
📅 Release Date
2023
May 2025
🔄 Last Update
Aug 2026
Jun 2026
Company
Menlo Research
OpenAI
Founded
2023
2025
API Access
Yes
Yes
Mobile App
No
Yes

Jan

Pros

  • +Offline, 100% private AI chat
  • +Friendly desktop app (no CLI)
  • +Downloads open models easily
  • +Free and open source
  • +No account required

Cons

  • Needs decent hardware for big models
  • Fewer features than cloud ChatGPT
  • No mobile app
  • Local model quality varies

OpenAI Codex

Pros

  • +Runs from CLI, IDE, web and mobile
  • +Parallel autonomous tasks
  • +Reads the whole repo before editing
  • +Opens pull requests and runs tests
  • +Backed by the GPT-5 family

Cons

  • Best features need a paid ChatGPT plan
  • Cloud runs can be slow on large repos
  • Less mature ecosystem than some IDE agents

🎯 Best forJan

Private offline AI chatChatGPT alternativeLocal model experimentationSensitive/confidential work

🎯 Best forOpenAI Codex

Multi-file refactorsBug fixing with testsCode review automationBackground coding tasks

🏷️ TagsJan

Open SourceLocal LLMPrivacyDesktop

🏷️ TagsOpenAI Codex

Coding AgentCLIAutonomousGPT-5Pull Requests

Our Verdict

After comparing ratings, pricing and features, OpenAI Codex comes out ahead with a 4.8/5 rating. It is the better choice for most users.

Expert take on each tool

📌 Jan

Jan is the friendliest open-source way to run AI locally: a clean desktop app that keeps every conversation offline and private, with no account or cloud. The best pick for non-developers who want a private ChatGPT alternative on their own machine.

📌 OpenAI Codex

OpenAI Codex is a strong pick for teams already on ChatGPT who want one coding agent that works the same from terminal, editor, web and phone. Its parallel task execution shines on large, well-tested codebases.

Frequently Asked Questions

Which is better: Jan or OpenAI Codex?

OpenAI Codex has the higher user rating (4.8/5 vs 4.6/5), making it the stronger overall pick. That said, Jan can still be the better fit depending on your budget and specific needs — see the full comparison above.

Is Jan or OpenAI Codex cheaper?

Jan (Free / Open Source) is generally more budget-friendly than OpenAI Codex (In ChatGPT: Free / Plus $20/mo / Pro from $100/mo). If cost is your main concern, Jan is worth trying first — but compare the feature sets above to confirm it covers what you need.

Can I switch from Jan to OpenAI Codex?

Yes — switching between Jan and OpenAI Codex is usually straightforward since both are code tools with similar core workflows. Most users can export their data and get started with OpenAI Codex within a day; just check OpenAI Codex's free plan before committing to a paid tier.