Amazon Q Developer vs Gemini Code Assist
Compare Amazon Q Developer and Gemini Code Assist by workflow, pricing, privacy, model support, and best use cases.
Amazon Q Developer
Choose Amazon Q Developer when your team builds, operates, or modernizes software on AWS and wants AI help across IDEs, AWS Console, security review, GitLab/GitHub workflows, and application transformation. Choose a provider-neutral agent or full AI IDE if model flexibility, local execution, or non-AWS workflows matter more.
Gemini Code Assist
Gemini Code Assist is a strong choice for teams that want AI coding assistance inside existing IDEs while staying aligned with Google Cloud, Gemini CLI, GitHub review, and enterprise admin workflows. It is less suitable for developers who need local model control, BYOK flexibility, or a standalone AI editor experience.
Amazon Q Developer
- Pricing model
- freemium
- Free plan
- Yes
- Open source
- No
- Local models
- No
- BYOK
- No
- Editor base
- VS Code
Key Differences
Workflow
Amazon Q Developer is an AWS-native AI coding assistant for developers and teams that want IDE coding help, agentic workflows, security review, modernization, and cloud operations guidance across the AWS software lifecycle.
Gemini Code Assist is Google’s AI coding assistant for IDEs, GitHub, Gemini CLI, and Google Cloud workflows, positioned as a business-friendly alternative to Copilot, Cursor, and terminal coding agents.
Feature Comparison
| Feature | Amazon Q Developer | Gemini Code Assist |
|---|---|---|
| Primary workflow | Amazon Q Developer is an AWS-native AI coding assistant for developers and teams that want IDE coding help, agentic workflows, security review, modernization, and cloud operations guidance across the AWS software lifecycle. | Gemini Code Assist is Google’s AI coding assistant for IDEs, GitHub, Gemini CLI, and Google Cloud workflows, positioned as a business-friendly alternative to Copilot, Cursor, and terminal coding agents. |
| Type | extension | extension |
| Editor base | VS Code | VS Code |
| Pricing model | freemium | freemium |
| Starting price | $0 | $22.8 |
| Free plan | Yes | Yes |
| Open source | No | No |
| Local models | No | No |
| BYOK | No | No |
| Platforms | VS Code, JetBrains IDEs, IntelliJ IDEA, PyCharm, WebStorm, Visual Studio 2022 for Windows, Eclipse, AWS Console, AWS Console Mobile Application, GitLab Duo, GitHub and GitHub Enterprise Cloud preview, Microsoft Teams, Slack, AWS websites and documentation pages, Kiro CLI migration path | VS Code, JetBrains IDEs, IntelliJ IDEA, PyCharm, GoLand, WebStorm, Android Studio, Cloud Shell Editor, Cloud Workstations, GitHub, Gemini CLI, Google Cloud, Firebase, Cloud Run, BigQuery, Apigee, Application Integration |
| Models | Claude | Gemini 3, Gemini 2.5 |
| Enterprise features | IAM Identity Center support, Admin dashboard, User management, Policy management, Organization billing, Pro subscriptions, Data collection automatically opted out for Pro, IP indemnity for Pro, Reference tracking, Suppress public code suggestions, AWS IAM-aware context, AWS Console integration, GitLab Duo integration, GitHub preview integration, Microsoft Teams integration, Slack integration, Security scanning, Transformation quotas pooled at payer-account level | Enterprise-grade security, Gen AI indemnification for code suggestions, Code customization from private repositories, Usage metrics and observability dashboard, Google Cloud admin and billing controls, VPC Service Controls configuration, Gemini Code Assist logging configuration, GitHub enterprise code review setup, Google Cloud service integrations, Increased agent usage in Enterprise, Integration with Apigee and Application Integration, Additional Gemini Cloud Assist features |
| Best for | AWS developers, Cloud application teams, Serverless and infrastructure teams, Java modernization projects, .NET modernization projects, Security scanning in IDE workflows, AWS cost and resource investigation, Teams using IAM Identity Center, GitLab Duo users building with AWS, Developers who want AI help across IDE and AWS Console workflows, Organizations that need AWS-native governance and admin controls | Developers using VS Code, JetBrains IDEs, Android Studio, or Google Cloud workstations, Teams building on Google Cloud, Firebase, Cloud Run, BigQuery, Apigee, or Application Integration, Organizations that want managed AI coding assistance with enterprise security and Google Cloud administration, Teams that want IDE assistance plus terminal workflows through Gemini CLI, Enterprises that need code customization based on private repositories and organization coding style |
| Not best for | Teams that are not invested in AWS, Developers who want local model execution, Users who need provider-neutral BYOK model routing, Non-technical users looking for prompt-to-app builders, Developers who want a full standalone AI IDE, Teams that need open-source agent runtime control, Workflows where AI agents cannot read files, write diffs, or run shell commands | Users looking for a fully open-source coding assistant, Developers who need local model support or BYOK routing inside the IDE assistant, Teams outside the Google Cloud ecosystem that want minimal cloud admin setup, Users who want a standalone AI-native editor like Cursor or Windsurf, Developers relying on the unpaid individual IDE extension for long-term usage after the Antigravity migration |
Use Case Winners
Both Amazon Q Developer and Gemini Code Assist have comparable signals here.
Both Amazon Q Developer and Gemini Code Assist have comparable signals here.
Amazon Q Developer lists more team or enterprise controls.
Both Amazon Q Developer and Gemini Code Assist have comparable signals here.
Gemini Code Assist supports more model/provider options or BYOK-style workflows.
Neither tool shows a strong signal for this use case in the current structured data.
Pricing Comparison
Amazon Q Developer
- Free Tier$0 / month
Perpetual free tier with monthly limits, including 50 agentic requests per month and up to 1,000 lines of code per month for supported transformations.
- Amazon Q Developer Pro$19 / user/month
Expanded usage limits, latest Claude model access, IDE/CLI use, Identity Center support, admin dashboard, policy management, data opt-out by default, and IP indemnity.
- Transformation overage$0.003 / line of code
Applies to Amazon Q Developer transformation usage above included Pro allocations for eligible Java upgrade transformations.
- GitLab Duo with Amazon QGitLab plan-dependent
Available through supported GitLab workflows and tiers; use depends on GitLab Duo and AWS integration setup.
- Enterprise / Organization useUsage-based
Managed through AWS accounts, IAM Identity Center, subscriptions, quotas, governance, and AWS organization billing.
Gemini Code Assist
- Gemini Code Assist for individuals$0 / month
Free version for eligible personal Gmail accounts; Google notes unpaid IDE extension access is being replaced by Antigravity on June 18, 2026.
- Standard Monthly$22.80 / user/month
Business plan with IDE code assistance, local codebase awareness, code transformation, agent mode, Gemini CLI, and enterprise-grade security.
- Standard Annual$19 / user/month
Annual commitment pricing with upfront annual commitment.
- Enterprise Monthly$54 / user/month
Adds code customization, expanded Google Cloud integrations, and increased agent usage.
- Enterprise Annual$45 / user/month
Annual commitment pricing with upfront annual commitment.
Privacy & Security
Amazon Q Developer
Amazon Q Developer can process prompts, code context, local project files, diffs, shell output, security scan context, AWS resource metadata, GitLab or GitHub workflow context, and chat content depending on where it is used. AWS states that Amazon Q Developer Pro proprietary content is not used for service improvement, while the Free tier provides opt-out controls. Teams should still avoid exposing secrets, credentials, regulated data, or production tokens in prompts, files, terminal output, repositories, or connected chat and DevOps tools.
Gemini Code Assist
Gemini Code Assist Standard and Enterprise documentation says Google does not use customer data to train models without permission. Gemini Code Assist for individuals has a separate privacy notice and may use data to improve Google machine learning models unless the user opts out. Teams should review edition-specific privacy notices, administrator controls, repository access, code customization settings, GitHub app permissions, and Google Cloud data governance before rollout.
Choose Amazon Q Developer if...
- AWS developers
- Cloud application teams
- Serverless and infrastructure teams
- Java modernization projects
- .NET modernization projects
Choose Gemini Code Assist if...
- Developers using VS Code, JetBrains IDEs, Android Studio, or Google Cloud workstations
- Teams building on Google Cloud, Firebase, Cloud Run, BigQuery, Apigee, or Application Integration
- Organizations that want managed AI coding assistance with enterprise security and Google Cloud administration
- Teams that want IDE assistance plus terminal workflows through Gemini CLI
- Enterprises that need code customization based on private repositories and organization coding style
Avoid Amazon Q Developer if...
- Teams that are not invested in AWS
- Developers who want local model execution
- Users who need provider-neutral BYOK model routing
- Non-technical users looking for prompt-to-app builders
- Developers who want a full standalone AI IDE
Avoid Gemini Code Assist if...
- Users looking for a fully open-source coding assistant
- Developers who need local model support or BYOK routing inside the IDE assistant
- Teams outside the Google Cloud ecosystem that want minimal cloud admin setup
- Users who want a standalone AI-native editor like Cursor or Windsurf
- Developers relying on the unpaid individual IDE extension for long-term usage after the Antigravity migration