Complete pricing guide for Amazon Q. Compare all plans, analyze costs, and find the perfect tier for your needs.
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Pricing sourced from Amazon Q · Last verified March 2026
Amazon Q is a generative AI assistant from AWS built for enterprise use across software development, business intelligence, customer service, and supply chain functions. It's designed for developers who want AI help with coding, testing, deploying, and modernizing applications, as well as business users who need to query company data in natural language. It's especially well-suited for organizations already invested in the AWS ecosystem, since it integrates natively with services like QuickSight, Connect, and Supply Chain. Amazon Q can also be used by contact center agents, supply chain analysts, and general employees across an organization.
Amazon Q is built on Amazon Bedrock, AWS's managed service for generative AI that provides access to high-performing foundation models from Amazon and leading AI companies. Rather than using a single model, Amazon Q uses multiple foundation models and intelligently routes each task to the model best suited for the job. This multi-model approach helps balance accuracy, cost, and latency across different types of tasks like code generation, summarization, or data analysis. Because it runs on Bedrock, Amazon Q inherits all of Bedrock's safety, security, and responsible AI controls.
Amazon Q offers a free tier for both Q Developer and Q Business with limited usage, but most productivity features require a paid subscription. Amazon Q Developer Pro costs $19 per user per month, while Amazon Q Business Lite is $3 per user per month and Amazon Q Business Pro is $20 per user per month. Pricing for Amazon Q embedded in QuickSight, Connect, and Supply Chain follows separate usage-based models. These rates make Amazon Q competitively priced against alternatives like GitHub Copilot ($19/month) and Microsoft Copilot ($30/user/month).
Amazon Q is built to meet stringent enterprise security requirements and respects existing identity, role, and permission structures. If a user isn't authorized to access certain data outside Amazon Q, they cannot access it through Amazon Q either — permissions are inherited, not bypassed. Customer data from Amazon Q Developer Pro and Amazon Q Business plans is not used to train underlying models, keeping proprietary information private. Amazon Q Business is also HIPAA eligible, and administrators can apply guardrails to customize authorization controls across the organization.
Amazon Q connects to over 50 commonly used business tools including Atlassian (Jira, Confluence), Gmail, Microsoft Exchange, Salesforce, ServiceNow, Slack, and Amazon S3. It also ships with 25+ built-in, managed, and secure data connectors for common enterprise repositories, wikis, and intranets. Within AWS, Amazon Q is embedded into Amazon QuickSight for BI, Amazon Connect for contact centers, and AWS Supply Chain for operational insights. This broad connector ecosystem lets Amazon Q synthesize information from across an organization without requiring custom integration development.
AI builders and operators use Amazon Q to streamline their workflow.
Try Amazon Q Now →Google's most intelligent AI assistant with multimodal capabilities including text, image, video, and music generation, plus conversational AI and deep integration with Google services.
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