Claude Opus 4.8 is now available on AWS

Today, we are excited to announce the availability of Anthropic's most advanced Opus model, Claude Opus 4.8, on Amazon Bedrock and the Claude Platform on AWS. Claude Opus 4.8 represents a logical step forward, bringing improvements to all workflow groups run in production, from agent coding and deep knowledge work to multi-stage autonomous tasks that take many hours of independent work. With Claude Opus 4.8 on Amazon Bedrock you can build within your existing AWS environment, maintain business security and regional data integrity, and scale. Claude Opus 4.8 is also available with the Claude Platform on AWS, giving you the Anthropic platform experience where regional data is not required.

This post covers Opus 4.8 development and practical guidelines for AI developers integrating the model into agent systems and targeted production workloads on Amazon Bedrock. See the documentation for the Claude Platform on AWS.

What makes Claude Opus 4.8 different

Claude Opus 4.8 is designed to change what teams can offer Claude, with strong performance for all coding, agent tasks, and professional work, and flexibility and independence aimed at long-running production workflows. Opus 4.8 can hold a program at all stages, better track what has been done and what is left, and correct the course when something breaks rather than error and stop. This should lead to more predictable behavior at scale with lower output variability and fewer revision cycles.

In coding, Opus 4.8 is designed to navigate through real code, edit before editing, and maintain context over long periods of time. For multi-phase tasks, it can track dependencies and maintain consistency during extended runs. This same autonomy extends to agent workflows, where it can handle complex dependency chains and multi-step tool deployments with reduced supervision, making it a strong fit for both customer-facing and internal agents. For professional work, Opus 4.8 combines long, complex sources into structured deliverables such as briefs, analyses, and reports.

Industry Use Cases

The capabilities of the Claude Opus 4.8 are suitable for industries where consistency and depth are critical. For financial services teams, Opus 4.8 helps with investment research and profitability analysis, managing context throughout the reporting cycle. For legal teams, it enables contract reviews, due diligence, and initial drafts of motions and memos. In the health sciences, it helps with literature reviews, planning controlled trials, and trial data integration. In cybersecurity, it strengthens the integration of threat intelligence, vulnerability detection, and incident response by capturing long traces and large codes in the context.

Starting with Claude Opus 4.8 on Amazon Bedrock

You can start with Claude Opus 4.8 in the Amazon Bedrock console.

1. In the Amazon Bedrock console, below Check it outchoose The playground.
2. For model, select Claude Opus 4.8 Now, you can check your complex code information with model.

Amazon Bedrock console Playground with Claude Opus 4.8 selected

You can also access the model programmatically using the Anthropic Messages API to make calls bedrock-runtime by using the Anthropic SDK or bedrock-mantle finally, or continue to use the Invoke and Converse API is open bedrock-runtime by using the AWS Command Line Interface (AWS CLI) and the AWS SDK.

What is required

1. An active AWS account with Amazon Bedrock access
2. The AWS CLI is installed and configured
3. Python 3.8+
4. Boto3 included: pip install boto3
5. IAM permissions: bedrock:InvokeModel again bedrock:InvokeModelWithResponseStream

Here's a quick example using the AWS SDK for Python (Boto3):

import boto3 
import json 
# Create a Bedrock Runtime client 
bedrock_runtime = boto3.client( 
    service_name="bedrock-runtime", 
    region_name="us-east-1" 
) 
# Invoke Claude Opus 4.8 
response = bedrock_runtime.invoke_model( 
    modelId="us.anthropic.claude-opus-4-8", 
    contentType="application/json", 
    accept="application/json", 
    body=json.dumps({ 
        "anthropic_version": "bedrock-2023-05-31", 
        "max_tokens": 4096, 
        "messages": [ 
            { 
                "role": "user", 
                "content": "Design a distributed architecture on AWS in Python that should support 100k requests per second across multiple geographic regions." 
            } 
        ] 
    }) 
) 
result = json.loads(response["body"].read()) 

print(result["content"][0]["text"])

You can also use Claude Opus 4.8 with the Amazon Bedrock Converse API to get integrated information for multiple models:

import boto3 
bedrock_runtime = boto3.client("bedrock-runtime", region_name="us-east-1") 
response = bedrock_runtime.converse( 
    modelId="us.anthropic.claude-opus-4-8", 
    messages=[ 
        { 
            "role": "user", 
            "content": [ 
                { 
                    "text": "Design a distributed architecture on AWS in Python that should support 100k requests per second across multiple geographic regions." 
                } 
            ] 
        } 
    ], 
    inferenceConfig={ 
        "maxTokens": 4096 
    } 
) 
print(response["output"]["message"]["content"][0]["text"]) 

Availability

Claude Opus 4.8 is available today on Amazon Bedrock in regions including US East (N. Virginia), Asia Pacific (Tokyo), Europe (Ireland), and Europe (Stockholm). See Region availability for a full list of supported regions. Claude Opus 4.8 is also available on the Claude Platform on AWS in North America, South America, Europe and Asia Pacific.

Try Claude Opus 4.8 in the Amazon Bedrock console, the Claude Platform on AWS, or check out the Getting Started notebooks on GitHub.

About the writers

Amina Najmi a Senior Specialist Solutions Architect for Generative AI focusing on Anthropic models and the implementation and governance of generative AI systems at scale on Amazon Bedrock. He helps ISVs solve their challenges, embrace innovation, and create new business opportunities with Amazon Bedrock. In her spare time, she pursues her passion for food and discovering new places.

Antonio Rodriguez is the principal leader of Generative AI Tech at Amazon Web Services. He helps companies of all sizes solve their challenges, embrace innovation, and create new business opportunities with Amazon Bedrock. Outside of work, he likes to spend time with his family and play sports with his friends.

Eugenio Soltero is Sr. Product Marketing Manager for Amazon Bedrock at AWS. With several years of experience in generative AI, he helps clients navigate the evolving landscape of foundational models and generative ai to find solutions that deliver measurable value.

Sofian Hamiti is a technology leader with over 12 years of experience building AI solutions, and leads high-performance teams to maximize customer results. He is passionate about empowering diverse talents to drive global impact and realize their career aspirations.

Ayan Ray is the Principal Architect of Partner Solutions and AI Tech Lead at AWS, serving as the Global Technical Lead for Anthropic at AWS. He works at the intersection of cloud architecture and Artificial Intelligence, helping organizations adopt and scale Anthropic technologies on AWS.