Does either tool support non-GitHub hosts like GitLab or Bitbucket?

No. Sweep AI only works with GitHub and is not available for GitLab or Bitbucket. Codex's pull request review feature is described as GitHub-specific in the sheet.

Can generated pull requests be trusted without review?

Sweep AI runs tests and review checks to verify that pull requests pass validation, but the sheet notes that generated pull requests typically still require human review and may contain incorrect or suboptimal code.

What models does Codex run on?

Codex is locked to OpenAI's GPT models, with GPT-5.5 listed as the recommended frontier model. The sheet does not mention support for Claude or Gemini out of the box.

Is there a desktop or CLI option for Sweep AI?

Not on file. Sweep AI's listed platforms are web only, with configuration and monitoring done through a web-based dashboard.

What is the cheapest paid tier on each?

Codex lists Go at $8/month as the cheapest paid tier above Free. Sweep AI's paid plan prices are not on file, so a comparable number is not available from this sheet.

Codex vs Sweep AI: How They Actually Differ

Codex fits a solo founder who works across terminal, IDE, and GitHub PRs and wants one GPT-5 agent across those surfaces. Sweep AI fits a small GitHub-native team that wants routine issues turned into reviewed pull requests without leaving the issue tracker.

Compiled 2026-08-27 from our catalogue entries for Codex and Sweep AI.

The short answer

Pick Codex if: You want one agent that moves between CLI, IDE, desktop, and cloud, runs on OpenAI's GPT models, reviews GitHub pull requests inline, and can be billed through a ChatGPT plan starting at the Free $0/month tier.
Pick Sweep AI if: Your team lives in GitHub issues and wants those issues turned into pull requests that pass tests and review checks, configured and watched from a web dashboard.
Cheapest way in: Codex: the Free plan at $0/month, with Go at $8/month, Plus at $20/month, Pro 5x at $100/month, and Pro 20x at $200/month as paid tiers, plus an API Key option billed by tokens. Sweep AI: a freemium tier with usage limits on pull request number or size; paid plan pricing is not on file.
What we could not compare: Sweep AI's paid plans and starting price are not on file, and Codex's Business and Enterprise pricing is not published, so a like-for-like cost comparison between paid tiers is not possible from this sheet.

Both products sit in the AI coding agents category and target developers who want routine coding work handled by software rather than done by hand. Both follow a freemium model and lean on GitHub as part of the workflow. Beyond that, they solve different jobs and are built for different surfaces.

Codex is a general agent that an engineer drives from a terminal, an IDE extension, a desktop app, or a cloud environment, and it can also run a cloud code review on a GitHub pull request. Sweep AI is narrower: it watches GitHub issues, opens pull requests in response, and verifies those pull requests against tests and review checks before they land.

Side by side

Every cell is a field on our catalogue entry for that tool, copied as recorded. Rows where the two differ come first; blank fields say so rather than being filled in.

	Codex	Sweep AI
Starts at	Free — $0 /month	Not recorded
Runs on	web, mac, win, linux, cli, vscode-ext	web
Public source code	No public repo listed	Yes — public repo
Category	AI Coding Agents	AI Coding Agents
Pricing model	Freemium	Freemium
Public docs	Not listed	Not listed

Public source code: From the repository link on each catalogue entry, not a licence audit.

Where Codex is the better fit

One agent runs across CLI, IDE, desktop, and cloud, so work started in one surface can continue in another.
Cloud GitHub pull request review that comments inline and proposes fixes, on top of OpenAI's GPT models (currently GPT-5.5 as the recommended frontier model).
Reads the shared AGENTS.md instructions file and supports MCP tools, and is included with ChatGPT plans from the free tier up through Pro.

Full Codex entry · Codex pricing, verified

Where Sweep AI is the better fit

Turns GitHub issues directly into pull requests that include the code changes.
Runs tests and review checks to verify that generated pull requests pass validation before they are handed back to the team.
Provides a web-based dashboard for configuring the agent and monitoring its work.

Full Sweep AI entry

Which one should you pick?

Solo founder shipping a side project

Codex

It runs on the same agent across terminal, IDE, and cloud, so a single developer can keep moving without context switching, and the Free $0/month tier is enough to start.

Small team with a busy GitHub issue queue

Sweep AI

It reads GitHub issues, opens pull requests, and runs tests and review checks before they land, which fits a workflow that wants routine tickets handled inside GitHub.

Developer who already pays for ChatGPT

Codex

It is included with ChatGPT plans from the free tier up through Pro, so it can be added without a separate billing line, and it runs on GPT-5 models.

Team using GitLab or Bitbucket

Neither

Sweep AI only works with GitHub and is not available for GitLab or Bitbucket, and Codex's pull request review is built around GitHub as well, so neither fits cleanly off-GitHub.

Frequently asked questions

Does either tool support non-GitHub hosts like GitLab or Bitbucket?: No. Sweep AI only works with GitHub and is not available for GitLab or Bitbucket. Codex's pull request review feature is described as GitHub-specific in the sheet.
Can generated pull requests be trusted without review?: Sweep AI runs tests and review checks to verify that pull requests pass validation, but the sheet notes that generated pull requests typically still require human review and may contain incorrect or suboptimal code.
What models does Codex run on?: Codex is locked to OpenAI's GPT models, with GPT-5.5 listed as the recommended frontier model. The sheet does not mention support for Claude or Gemini out of the box.
Is there a desktop or CLI option for Sweep AI?: Not on file. Sweep AI's listed platforms are web only, with configuration and monitoring done through a web-based dashboard.
What is the cheapest paid tier on each?: Codex lists Go at $8/month as the cheapest paid tier above Free. Sweep AI's paid plan prices are not on file, so a comparable number is not available from this sheet.

What we compared

This page states nothing that is not in the two catalogue entries below. The exact text used to write it is reproduced here so you can check our reading, and both tools link through to their own pages and to the vendor.

/tools/codex — checked 2026-07-02 · official site
/tools/sweep-ai — checked 2026-06-14 · official site

Show the source text

## Codex (/tools/codex)
Tagline: OpenAI's coding agent — works in the terminal, IDE, and cloud, reviews GitHub pull requests, and runs on GPT-5 models.
Category: AI Coding Agents
Pricing model: freemium
Starts at: Free — $0 /month
Platforms: web, mac, win, linux, cli, vscode-ext
Public repo: none listed
Docs: none listed
Verified plans (read 2026-08-21): Free $0 /month | Go $8 /month | Plus $20 /month | Pro 5x $100 /month | Pro 20x $200 /month | Business / Enterprise Not published | API Key Pay only for the tokens Codex uses, based on API pricing
Strengths on file: Runs one agent across CLI, IDE, desktop, and cloud — work moves between surfaces.; Strong GitHub integration: a cloud code review on a pull request that catches real bugs and proposes fixes.; Reads the shared AGENTS.md standard and supports MCP tools.; Included with ChatGPT plans, from the free tier up through Pro.
Limits on file: Locked to OpenAI's GPT models — no Claude or Gemini out of the box.; Fewer built-in customization primitives (hooks, sub-agents) than some rivals.
Codex is OpenAI's agentic coding tool. It runs the same agent across a terminal CLI, an IDE extension, a desktop app, and a cloud environment, so work started in one surface can continue in another. It reads the shared AGENTS.md instructions file, speaks the Model Context Protocol (MCP), and can spin up a cloud code review on a GitHub pull request that comments inline and proposes fixes. Codex runs on OpenAI's GPT models — currently GPT-5.5 as the recommended frontier model — and is included with ChatGPT plans, from the free tier up through Pro.

## Sweep AI (/tools/sweep-ai)
Tagline: AI junior dev for GitHub — converts issues into PRs that pass tests and review checks.
Category: AI Coding Agents
Pricing model: freemium
Starts at: Not recorded
Platforms: web
Public repo: https://github.com/sweepai/sweep
Docs: none listed
Verified plans: none on file
Strengths on file: Converts GitHub issues into pull requests that include code changes.; Integrates directly with GitHub repositories to read issues and open pull requests.; Runs tests and review checks to verify that generated pull requests pass validation.; Provides a web-based dashboard for configuring and monitoring the agent's work.
Limits on file: Only works with GitHub and is not available for other version control hosts like GitLab or Bitbucket.; The free tier imposes usage limits on the number or size of pull requests.; Generated pull requests typically still require human review and may contain incorrect or suboptimal code.
Sweep is an AI junior developer for GitHub — it turns issues into pull requests that run tests and review checks before they land.
Its workflow is issue-to-PR: it reads a GitHub issue, makes the code changes, opens the pull request, and runs tests and review checks to verify it passes, all monitored from a web dashboard.
It fits teams that live in GitHub issues and want routine tickets turned into reviewable PRs. Two limits: it only works with GitHub — not GitLab or Bitbucket — and the free tier caps the number or size of pull requests.
It's a GitHub-native issue-to-PR agent, next to the whole-repo PR reviewers like Greptile and CodeRabbit.

Change log

2026-08-27 — First published, compiled from the catalogue entries for Codex and Sweep AI.