Today, we’re 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 meaningful step forward, delivering improvements across the workflows teams run in production, from agentic coding and deep knowledge work to multi-stage autonomous tasks that span hours of independent operation. With Claude Opus 4.8 on Amazon Bedrock you can build within your existing AWS environment, maintain enterprise security and regional data residency, and scale inference. Claude Opus 4.8 is also available through Claude Platform on AWS, giving you Anthropic’s native platform experience when regional data residency isn’t required.
This post covers Opus 4.8’s improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock. See the documentation for Claude Platform on AWS.
What makes Claude Opus 4.8 different
Claude Opus 4.8 is designed to change what teams can hand off to Claude, with stronger performance across coding, agentic tasks, and professional work, and the consistency and autonomy intended for long-running production workflows. Opus 4.8 can hold a plan across stages, better track what it has done and what remains, and adjust course when something breaks rather than surfacing an error and stopping. This should lead to more predictable behavior at scale with lower output variance and fewer review cycles.
In coding, Opus 4.8 is designed to navigate real codebases, plan before editing, and maintain context across long sessions. On multi-stage tasks, it can track dependencies and sustain coherence over extended runs. This same autonomy extends into agentic workflows, where it can handle complex dependency chains and multi-step tool use with reduced oversight, making it a strong fit for both customer-facing and internal agents. In professional work, Opus 4.8 synthesizes long, complex sources into structured deliverables such as briefs, analyses, and reports.
Industry Use Cases
Claude Opus 4.8 capabilities are a good fit for industries where consistency and depth matter most. For financial services teams, Opus 4.8 assists with investment research and earnings analysis, carrying context across an entire reporting cycle. For legal teams, it enables contract review, due diligence, and first drafts of motions and memos. In life sciences, it helps with literature review, regulatory submission drafting, and trial data synthesis. In cybersecurity, it strengthens threat intelligence synthesis, vulnerability finding, and incident response by holding long traces and large codebases in context.
Getting Started with Claude Opus 4.8 on Amazon Bedrock
You can get started with Claude Opus 4.8 in the Amazon Bedrock console .
- In the Amazon Bedrock console, under Test , choose Playground .
- For the model, choose Claude Opus 4.8Now, you can test your complex coding prompt with the model.
Amazon Bedrock console Playground with Claude Opus 4.8 selected
You can also access the model programmatically using the Anthropic Messages API to call the bedrock-runtime through Anthropic SDK or bedrock-mantle endpoints, or keep using the Invoke and Converse API on bedrock-runtime through the AWS Command Line Interface (AWS CLI) and AWS SDK .
Prerequisites
- Active AWS account with Amazon Bedrock access
- AWS CLI installed and configured
- Python 3.8+
- Boto3 installed: pip install boto3
- IAM permissions: bedrock:InvokeModel and 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 for a unified multi-model experience:
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 Bedrock documentation for the 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.
Give Claude Opus 4.8 a try in the Amazon Bedrock console , in the Claude Platform on AWS , or explore the Getting Started notebooks on GitHub. You can also unlock Opus 4.8 full potential by using Advanced Prompt Optimization on Amazon Bedrock, it takes your current prompts, benchmarks them against your eval criteria, and outputs production-ready rewrites.
About the authors
Aamna Najmi is a Senior Specialist Solutions Architect for Generative AI focusing on Anthropic models and operationalizing and governing generative AI systems at scale on Amazon Bedrock. She helps ISVs solve their challenges, embrace innovation, and create new business opportunities with Amazon Bedrock. In her spare time, she pursues her passion for experimenting with food and discovering new places.
Antonio Rodriguez is a Principal Generative AI Tech Leader at Amazon Web Services. He helps companies of all sizes solve their challenges, embrace innovation, and create new business opportunities with Amazon Bedrock. Apart from work, he loves to spend time with his family and play sports with his friends.
Eugenio Soltero is a Sr. Product Marketing Manager for Amazon Bedrock at AWS. With several years of experience in generative AI, he helps customers navigate the evolving landscape of foundation models and generative ai to adopt solutions that deliver measurable value.
Sofian Hamiti is a technology leader with over 12 years of experience building AI solutions, and leading high-performing teams to maximize customer outcomes. He is passionate about empowering diverse talents to drive global impact and achieve their career aspirations.
Ayan Ray is a Principal Partner Solutions Architect and AI Tech Lead at AWS, serving as the Worldwide Tech Lead for Anthropic at AWS. He works at the intersection of cloud architecture and Artificial Intelligence, helping organizations adopt and scale Anthropic’s technologies on AWS.