Introducing Claude Opus 4.5: The Future of AI on Amazon Bedrock

Unleashing New Capabilities for Business and Development

Claude Opus 4.5: What Makes This Model Different

Business Applications and Use Cases

Integration with Amazon Bedrock AgentCore

Getting Started

Key Features for Agent Development

Pricing

Availability and Access

Conclusion

About the Authors

Claude Opus 4.5: Transforming AI with Amazon Bedrock

Anthropic’s latest innovation, Claude Opus 4.5, is now available on Amazon Bedrock, marking a significant milestone in the realm of AI. This fully managed service offers access to a selection of leading foundation models, and Opus 4.5 is setting new standards across coding, automation, and office tasks. It not only outperforms its predecessors, Sonnet 4.5 and Opus 4.1, but also does so at only one-third of the cost.

In this blog post, we’ll explore what differentiates Opus 4.5 from earlier models, delve into key business applications, and demonstrate its new tool-use capabilities on Amazon Bedrock. By the conclusion, you’ll understand how to leverage this model for production agent deployments.

Claude Opus 4.5: What Makes This Model Different

Opus 4.5 stands as Anthropic’s pinnacle offering within the Opus class. It’s designed explicitly for developers crafting sophisticated AI agents that can independently reason, plan, and execute intricate tasks. With enhancements over Sonnet 4.5, it exhibits superior performance in existing use cases and introduces capabilities for managing complex workflows.

Highlights of Opus 4.5:

• Software Engineering: Achieving an impressive 80.9% on SWE-bench Verified, Opus 4.5 drastically reduces multi-day development projects to mere hours. It improves factors like multilingual coding capabilities, yielding cleaner architectural choices and better test coverage.

• Office Productivity: Proficiently handling complex projects from start to finish, Opus 4.5 creates high-quality PowerPoint presentations, Excel spreadsheets, and Word documents—even managing document redlining for contracts and NDAs.

• Vision and Computer Use: The model achieves 80.7% on MMMU, addressing workflows that require nuanced visual interpretations, like analyzing design mockups or navigating complex document layouts.

One of the most notable features introduced in Opus 4.5 is its enhanced tool search. This allows agents to dynamically discover and use only the tools they require, reducing unnecessary load and confusion in scaling to larger tool libraries.

Business Applications and Use Cases

Opus 4.5 excels in a variety of business scenarios:

• Software Development: Create agents that can autonomously write and refactor code across entire projects while managing full-stack architectures. It can analyze technical documents, plan software implementations, and refine code iteratively while ensuring a consistent architectural context throughout.

• Enterprise Operations and Office Tasks: Automate workflows and manage high-stakes projects consistently. Opus 4.5 not only maintains context across various files but enables seamless generation of professional-standard documents and spreadsheets.

• Financial Analysis: Operate across intricate information systems for predictive modeling and compliance purposes. Its accuracy makes it essential for financial sectors where details are crucial.

• Cybersecurity: Enhance security workflows through professional-grade analysis by correlating logs and security databases for timely event detection and incident response.

Integration with Amazon Bedrock AgentCore

Amazon Bedrock serves as the ideal foundation for deploying Opus 4.5 in production settings. Its unified API and enterprise-grade security ensure quick and efficient deployment.

The integration with Amazon Bedrock AgentCore provides:

• Persistent Memory: Maintains context across sessions, ensuring seamless continuity.

• Tool Gateway: Transforms existing APIs and Lambda functions into agent-compatible tools.

• Observability Features: Monitor and deploy agents with long-running workflows, tracking key performance metrics via Amazon CloudWatch.

Getting Started

Ready to take the plunge with Opus 4.5? Here’s a quick setup to demonstrate the model’s tool search capability—all you need is to import libraries and establish a connection to Amazon Bedrock:

import boto3
import json

# Create a session and Bedrock client
session = boto3.Session()
bedrock_client = session.client(service_name="bedrock-runtime", region_name="us-east-1")

Next, let’s define various tools with dynamic loading capabilities:

tools = [
    # Enable tool search
    {
        "type": "tool_search_tool_regex",
        "name": "tool_search_tool_regex"
    },
    {
        "name": "get_weather",
        "description": "Get current weather for a location",
        ...
    }
]

After defining your tools, you can use the invoke_model API to call Opus 4.5:

response = bedrock_client.invoke_model(
    modelId="global.anthropic.claude-opus-4-5-20251101-v1:0",
    body=json.dumps(request_body)
)

This setup allows Opus 4.5 to dynamically select and load only the tools it needs.

Key Features for Agent Development

Opus 4.5 offers several unique features ideal for building production agents:

• Coherence Across Extended Workflows: Maintain consistent decision-making throughout prolonged operational campaigns.
• Enhanced Tool Handling: Agents can interact seamlessly with external APIs and systems, ensuring accurate results.
• Effort Parameter Control: Adjust token spending across thinking, tool calls, and responses, catering to your quality and budget needs.

Pricing

Opus 4.5 is priced competitively at $5 per million input tokens and $25 per million output tokens, making advanced capabilities affordable.

Availability and Access

You can access Opus 4.5 today through Amazon Bedrock, facilitating cross-region inference to manage demand efficiently.

Conclusion

In summary, Claude Opus 4.5 is a game-changer for AI agents, particularly in software development and operational automation. Its capabilities, combined with Amazon Bedrock’s infrastructure, provide a robust foundation for deploying reliable AI agents in production environments.

I encourage you to explore Opus 4.5 in your workflows. How might its features transform manual processes in your organization? Share your experiences in the comments below!

About the Author

Jonathan Evans serves as a Worldwide Solutions Architect for Generative AI at AWS, guiding customers in harnessing AI technologies to tackle complex business challenges. His background in AI/ML engineering fuels his passion for making advanced AI accessible.

For more information on the model and its capabilities, visit the Anthropic Claude model detail page and start experimenting with Opus 4.5 today!