Compare Amazon Q Developer and GitHub Copilot on pricing, features, platforms, and ratings — both AI Coding tools, Freemium pricing to decide which fits your…
At a Glance
Amazon Q Developer
GitHub Copilot
Primary category
AI Coding
AI Coding
Rating
Not documented
Not documented
Pricing model
Freemium
Freemium
Starting price
Free (Pro plan from $19/user/month)
$10 per month (Copilot Pro, billed monthly; a free tier with limited usage is also available)
Free plan
Yes
Yes
Free trial
Not documented
Not documented
Platforms
Windows
Mac, Windows
Team collaboration
Not documented
Not documented
AI features
Yes
Yes
Public API
Yes
Not documented
Pricing Compared
Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.
Amazon Q Developer
Free — $0/month monthly
Pro — $19/user/month monthly
GitHub Copilot
Copilot Free — $0 N/A
Copilot Pro — $10 per month (or $100 per year)
Copilot Business — $19 per user / month
Copilot Enterprise — $39 per user / month
Pros & Cons
Amazon Q Developer
Pros
Free tier available with no cost to start
Deep integration with AWS services and the AWS Management Console
Agentic capabilities go beyond autocomplete into test generation and code review
Supports legacy application modernization (.NET and Java transformation)
Cons
Deepest value is realized within the AWS ecosystem, less compelling for non-AWS shops
Free tier usage limits (50 agentic interactions/month) are relatively low for heavy users
Per-user Pro pricing can add up for larger engineering teams
GitHub Copilot
Pros
Deep, native integration with the most popular IDEs and with GitHub's own pull request and issue workflow.
A free tier plus student and open-source maintainer access make it easy to try before paying.
Multi-model support lets teams pick a model that fits cost, speed, or quality needs rather than being locked to one provider.
Coding agent and code review features go beyond autocomplete, automating parts of the actual development and review workflow.
Business and Enterprise tiers add admin controls, policy management, and IP indemnification suited to larger organizations.
Cons
Suggestion quality drops for niche languages, frameworks, or unusual codebases with limited public-code precedent.
No fully offline or air-gapped deployment for the mainstream product, which can rule it out for the most security-restricted environments.
The free tier's monthly completion and chat limits are easy for active developers to exhaust quickly.
Autonomous agent output still requires careful human review; unreviewed acceptance can introduce subtle bugs or license-risk code.
Per-user pricing on Business and Enterprise tiers can add up for larger engineering organizations compared with free or lower-cost alternatives.
Use Cases
Amazon Q Developer
AI-assisted coding — Get real-time code suggestions and completions while writing software in supported IDEs.
Legacy application modernization — Use application transformation features to port .NET applications or upgrade Java versions at scale.
Automated code review and testing — Use agentic capabilities to generate unit tests and perform code reviews automatically.
GitHub Copilot
Everyday code completion for individual developers — Writing boilerplate, small functions, and repetitive patterns faster with inline suggestions that adapt to the current file and project.
Speeding up review and quality checks on engineering teams — Using Copilot code review and chat to catch issues, draft tests, and explain unfamiliar parts of a shared codebase before human review.
Delegating well-scoped issues to an autonomous agent — Assigning small, clearly defined bugs or feature requests to the Copilot coding agent, then reviewing the resulting pull request.
Learning and exploring unfamiliar codebases or languages — Asking Copilot Chat to explain code, suggest idiomatic patterns, or translate examples while ramping up on a new language or project.