Critique vs OpenAI Codex.
OpenAI Codex is a coding agent built around OpenAI's frontier models. It can edit code, run tests, and open PRs on your behalf, priced through OpenAI's usage-based tiers.
Quick answer
Codex is an agent for writing code. Critique is a pipeline for reviewing code — complementary, not competing. Many teams use Codex for implementation and Critique for review, because Critique panel-reviews Codex-authored PRs through additional model families (Claude, Gemini, Kimi) that catch different classes of issue.
Critique
Multi-model agentic code review for GitHub. Scout + lead + specialist sub-agents on every PR. Credit pool pricing from $12/mo, shared across the team.
Start freeOpenAI's Codex coding agent
OpenAI Codex
Codex bills per token through OpenAI. Critique credits cover review and Remedy; you can keep Codex for implementation and have Critique review the resulting PRs.
Visit OpenAI CodexFeature-by-feature.
| Capability | Critique | OpenAI Codex |
|---|---|---|
| Primary role | Review + fix agent | Implementation agent |
| Multi-model review | Yes — 20+ models | OpenAI-only |
| Pricing transparency | Credits per PR | Tokens per action |
| GitHub App install | Yes | Varies by surface |
| Best combined use | Review Codex output with non-OpenAI models | Implementation only |
Verify pricing on openai.com before purchase.
Why teams pick Critique
- You want a second opinion on Codex-generated PRs from non-OpenAI models.
- You want fixed per-PR cost visibility instead of per-token billing for review.
- You want review specialists (security, tests, architecture) that Codex doesn't provide.
When OpenAI Codex is the right pick
- You specifically need an implementation agent, not a reviewer.
- You are all-in on the OpenAI ecosystem.
Questions teams ask us.
01Is Critique a good alternative to OpenAI Codex?
Open
Codex is an agent for writing code. Critique is a pipeline for reviewing code — complementary, not competing. Many teams use Codex for implementation and Critique for review, because Critique panel-reviews Codex-authored PRs through additional model families (Claude, Gemini, Kimi) that catch different classes of issue.
02What does Critique cost compared to OpenAI Codex?
Open
Codex bills per token through OpenAI. Critique credits cover review and Remedy; you can keep Codex for implementation and have Critique review the resulting PRs. Critique's public pricing: Standard $12/mo, Pro $35/mo, Ultra $129/mo (all credit-pool, team-shared). Student and OSS maintainers get $5/mo with unlimited repository indexing.
03Which models does Critique use that OpenAI Codex does not?
Open
Critique routes 20+ frontier and mid-tier LLMs — GPT-5.4, Claude Opus 4.7, Gemini 3 Pro, Kimi K2.6, GLM-5, Grok 4, and more — as either the lead reviewer or specialist sub-agents on every PR. You pick which model drives each run; Critique handles caching, fallback, and credit accounting.
04Can I use Critique alongside OpenAI Codex?
Open
Yes. Many teams keep OpenAI Codex for its unique strength (see "When OpenAI Codex is the right pick" below) and add Critique as the multi-model review layer on every PR for independent coverage. Install the Critique GitHub App; it does not conflict with other review bots.
05How do I switch from another review tool to Critique?
Open
Install the Critique GitHub App on your organisation, pick the repos you want reviewed, optionally import your existing review policy (language, severity floor, custom instructions), and keep your current tool running in shadow for a week to compare findings. Most teams archive the older tool within two sprints.
Compare Critique against other tools.
See Critique on your own repo.
Create an account, try Critique Chat for free on any repo you have access to, and install the GitHub App on a single repo to see the multi-agent review panel in action before rolling out.