Comparison
GitHub Copilot vs Amazon Q Developer
One is an editor assistant that works anywhere; the other knows your AWS account. Where that difference decides it, and where the free tier changes the maths.
Short answer. If most of what you build runs on AWS, Amazon Q Developer’s free tier is worth having regardless of what else you use — it costs nothing and it knows things about your account that no editor plugin can. If you want one assistant across every language, editor and cloud, that is Copilot, and Q is a supplement rather than a replacement.
They are not really competing for the same slot, and the pricing makes that clearer than the feature lists do.
Verified pricing
| Tier | GitHub Copilot | Amazon Q Developer |
|---|---|---|
| Free tier | Copilot Free — limited AI credits, auto model selection only | $0 — 50 agentic requests per month |
| Paid individual | $10/mo Pro — 1,500 AI credits/month | $19/user/mo Pro |
| Higher tiers | $39/mo Pro+ (7,000 credits), $100/mo Max (20,000) | — |
| Beyond the allowance | Additional usage via a budget at $0.01 per credit | Increased limits included in Pro |
| Plan | Price | Included monthly AI credits | Code completion |
|---|---|---|---|
| Copilot Free | Free | A limited allowance of GitHub AI Credits | 2,000 completions per month |
| Copilot Student | Free Verification required | An allowance of GitHub AI Credits | Unlimited completions |
| Copilot Pro | $10 USD per month (free for verified teachers and popular OSS maintainers) | 1,500 (1,000 base + 500 flex) | Unlimited completions |
| Copilot Pro+ | $39 USD per month | 7,000 (3,900 base + 3,100 flex) | Unlimited completions |
| Copilot Max | $100 USD per month | 20,000 (10,000 base + 10,000 flex) | Unlimited completions |
From the site's plans dataset, last verified September 16, 2026 against GitHub's individual billing documentation. 1 AI credit = $0.01 USD; additional usage is bought through a budget at the same rate. Usage is per token and per model, so there is no fixed cost per prompt.
The interesting figure is Amazon Q’s free tier. Fifty agentic requests a month is not a trial — it is enough to use the tool for AWS-specific work indefinitely without paying, which makes “should I add Q” a much easier question than “should I switch to Q”.
Where each one actually wins
Amazon Q knows your account. That is the whole proposition, and it is not something a general assistant can imitate. It reads your actual IAM policies, your actual resource configuration, your actual CloudWatch data. Asking why a Lambda cannot reach a database is a question Q can answer from the environment; Copilot can only answer it from the code in front of it.
Copilot goes everywhere else. Every language, every supported editor, every cloud, plus the parts of the job that are not infrastructure at all. On a codebase where AWS is one concern among many, an assistant that only knows AWS is an assistant you close most of the time.
Copilot has the stronger review and governance story on GitHub. Pull request review, content exclusion, organisation policy and audit surfaces live where the code review already happens. If your governance conversation is about GitHub, that matters more than model quality.
Q has AWS-specific transformations Copilot does not. Java and .NET application upgrades are a first-class Q feature with its own limits on the Pro tier. That is a narrow capability and, for the teams that need it, a decisive one.
The decision, by situation
You are AWS-only, and cost-sensitive. Start with Q’s free tier. Fifty agentic requests goes further than it sounds when the questions are infrastructure questions.
You are AWS-heavy but write a lot of application code. Both. Copilot for the code, Q for the account. This is the common answer, and $10 plus $0 is a defensible bill.
You are multi-cloud or not on AWS. Copilot. Q’s advantage is entirely the AWS integration, and outside AWS you are paying $19 for a general assistant that is not differentiated.
You need Java or .NET modernisation at scale. Q, specifically for that, on the Pro tier. Nothing in Copilot targets it.
Your review and policy conversation is about GitHub. Copilot, and treat Q as a tool individual engineers may add rather than a platform decision.
What this comparison does not tell you
Neither vendor publishes coding-accuracy benchmarks that would survive scrutiny, and this page does not invent any. The differences above are about where each tool can see — your repository, or your cloud account — which is a structural property you can check, rather than a quality claim you would have to take on trust.
Frequently asked questions
Can I use both at the same time? Yes. They install separately and do not conflict. The practical cost is two assistants offering completions in the same editor, which is worth configuring one of them off for.
Does Amazon Q Developer’s free tier expire? The pricing page presents it as an ongoing tier with a monthly allowance rather than a time-limited trial. Check the current page before planning around it.
Is Amazon Q better at Terraform? It is better at your AWS account, which is a different thing. For writing and validating Terraform, see GitHub Copilot for Terraform — the validation discipline there matters more than which assistant drafted the HCL.
Which is better for a team? Copilot has the more developed organisation controls and the review surface on GitHub. Q’s admin story is built around IAM Identity Center, which is straightforward if you already run it and an additional thing to adopt if you do not.
Where to go next
- GitHub Copilot for AWS — the lesson, including what to validate before you trust generated infrastructure
- Which GitHub Copilot plan should you actually buy?
- GitHub Copilot vs Cursor and vs Claude Code
Sources
Every version-sensitive claim on this page was checked against first-party documentation. Only sources actually used are listed.
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