Sold by: Anthropic
Deployed on AWS
The Claude Platform on AWS delivers the complete Claude experience through your AWS account, including IAM authentication, native billing, and commitment retirement. Access Claude's frontier models alongside API features like skills, code execution, web search, and MCP connectors.
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Overview
The Claude Platform on AWS is a native AWS service that provides access to the full Claude Platform experience. Authentication uses AWS IAM, usage is billed through AWS, and spend retires against existing AWS commitments. Anthropic operates the service on AWS infrastructure.
The service includes platform and API features such as skills, code execution, web search, and MCP connectors. It also includes access to the Claude Console, which provides a prompt improver, prompt generator, evaluation tools, and model comparison.
Highlights
- Access the full range of platform and API features including skills, code execution, web search, MCP connectors, and the Claude Console.
- AWS IAM authentication and AWS billing. Spend retires against existing AWS commitments.
- Includes the Claude Opus, Sonnet, and Haiku models, with new models available as they launch.
Details
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Delivery method
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Consumption billing unit for Claude Platform usage across all models and features. | $0.01 |
Vendor refund policy
We do not issue refunds for Claude Platform.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Vendor Support: Please reach out to sales@anthropic.com with any questions or for options on pricing or contracts.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Muhammad Haseeb
Small team has delivered rigorous due diligence workflows and runs long document analysis reliably
Reviewed on Jun 12, 2026
Review from a verified AWS customer
What is our primary use case?
We use the Claude Platform as the core reasoning layer for our AI-native due diligence product. This platform powers document extraction, multi-agent orchestration, and analysis across financial, legal, and compliance workflows.
How has it helped my organization?
The platform allows a very small team to ship capabilities that would normally need a much larger one. Long-context handling and strong reasoning meaningfully cut the manual effort in our extraction and analysis pipelines, and reliability has been high enough to run in production.
What is most valuable?
I find the large context window for processing long documents, strong structured output, and tool-use reliability for agent workflows to be valuable features. Consistent instruction-following reduces post-processing, which is also beneficial.
What needs improvement?
I think more predictable rate-limit/quota headroom for batch and high-throughput workloads, along with tighter native batch-inference ergonomics, would be helpful.
For how long have I used the solution?
We have been using the solution for less than a year.
Which solution did I use previously and why did I switch?
We evaluated multiple frontier models and consolidated core workloads onto Claude for its reasoning quality and reliability on long, complex documents.
What's my experience with pricing, setup cost, and licensing?
I suggest modeling the cost against time saved on knowledge work rather than per-token in isolation. For reasoning-heavy workloads, the throughput-to-quality ratio is what matters.
Which other solutions did I evaluate?
Before standardizing on Claude, we evaluated OpenAI, Google AI Studio, and Google Vertex AI . We consolidated core reasoning and document-heavy workloads onto Claude for its long-context handling, structured output, tool-use reliability, and consistency on complex, regulated material.
What other advice do I have?
I believe it is a strong fit for complex, regulated, document-heavy workflows.