Coding · Head-to-head
Amazon Q Developer vs OpenAI Codex
Amazon Q Developer (freemium, AI Score 8.8/10) vs OpenAI Codex (freemium, AI Score 8.8/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick Amazon Q Developer if…
- →you want our editor's pick for this category
- →your primary use case is development teams building on aws who need code generation, security scanning, and infrastructure help across their ide, console, and cli.
Pick OpenAI Codex if…
- →your primary use case is teams already standardised on chatgpt who want the coding agent bundled with the seats they pay for, and who want the same agent in a terminal, an editor and a pull request.
- →you need: agents
Side-by-side specs
| Spec | Amazon Q Developer | OpenAI Codex |
|---|---|---|
| Category | Coding | Coding |
| Pricing model | freemium | freemium |
| Headline pricing | Free tier + Pro $19/user/mo | Included with ChatGPT Free, Go, Plus, Pro, Business, Edu and Enterprise plans |
| Free tier | Generous free tier with code completion, chat, and 50 security scans per month | Yes. OpenAI documents Codex as included on the ChatGPT Free plan, with access described as restricted to basic tasks. |
| AI Score | 8.8/10 | 8.8/10 |
| Best for | Development teams building on AWS who need code generation, security scanning, and infrastructure help across their IDE, console, and CLI. | Teams already standardised on ChatGPT who want the coding agent bundled with the seats they pay for, and who want the same agent in a terminal, an editor and a pull request. |
| Editor's pick | ✓ Yes | — |
| Use cases | development productivity | development agents productivity |
| Date added | 2026-05-01 | 2026-08-02 |
Pros and cons
Amazon Q Developer
Coding · freemium
Pros
- ✓Unmatched AWS integration — understands cloud infrastructure, not just application code
- ✓Generous free tier with real functionality including security scanning
- ✓Code transformation automates painful language and framework upgrades
- ✓Works across IDE, AWS Console, and CLI for a unified experience
Cons
- ×Much less useful if you're not building on AWS
- ×Code completion quality trails GitHub Copilot and Cursor for general-purpose coding
- ×IDE plugin can feel slower than competitors for inline suggestions
- ×Transformation feature currently limited to Java and .NET upgrades
🧑💻
OpenAI Codex
Coding · freemium
Pros
- ✓Included in ChatGPT plans from the free tier upward, so most organisations already own it
- ✓Covers the terminal, the editor, a hosted cloud runner, the ChatGPT apps and GitHub pull request review from one entitlement
- ✓AGENTS.md keeps agent configuration in the repo and under version control rather than in someone's local settings
- ✓Three GPT-5.6 variants let a team route cheap work to Luna and hard work to Sol instead of paying one rate for everything
- ✓Overflow credits are priced per million tokens, which makes the marginal cost of extra work legible
Cons
- ×Published limits are ranges per rolling five-hour window that span two orders of magnitude, so the included allowance is not knowable in advance
- ×Usage depends on which model variant a task routes to, and routing is not fully under the user's control
- ×Pro pricing is presented as tiers rather than a single figure, so the real cost of the heavy plan needs checking at the point of sale
- ×The agent is tied to a ChatGPT account, which is awkward for teams that standardised on a different assistant vendor
Related comparisons
Updated 2026-08-02. Spec data sourced from official product pages and tracked in our public directory at /tools.