Flagship AI Performance at One‑Third Cost: Claude Opus 4.5 on Amazon Bedrock

Claude Opus 4.5 on Amazon Bedrock

Anthropic’s latest foundation model, Claude Opus 4.5, is now available through the fully managed Amazon Bedrock service. The model expands the capability frontier for coding, agent development, computer‑use, and office‑task automation, delivering flagship‑level intelligence at roughly one‑third the cost of the original Opus model.

Performance Highlights

Outperforms Sonnet 4.5 and Opus 4.1 on a range of benchmarks.

Achieves 80.9 % on the SWE‑bench Verified benchmark, reducing development cycles from days to hours.

Scores 80.7 % on the MMMU visual‑understanding benchmark, supporting complex layout analysis and multi‑step visual workflows.

Generates higher‑quality React and HTML output with consistent accuracy across large projects.

Key Capabilities for Agent Development

The model introduces two major improvements for building production‑grade agents:

Tool search : Agents can dynamically discover and load only the tools they need, avoiding the need to pre‑define hundreds of tools and saving tens of thousands of tokens.

Tool‑example support : Users can embed example inputs for complex schemas, improving tool‑call accuracy.

Usage Example

The following Python snippet shows how to configure the Bedrock client, define tools with defer_loading, enable beta features, and invoke the model with the effort parameter.

# Import required libraries
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'
)

# Define tools with tool search enabled
tools = [
    {
        "type": "tool_search_tool_regex",
        "name": "tool_search_tool_regex"
    },
    {
        "name": "get_weather",
        "description": "Get current weather for a location",
        "input_schema": {
            "type": "object",
            "properties": {
                "location": {"type": "string"},
                "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
            },
            "required": ["location"]
        },
        "defer_loading": True,
        "input_examples": [
            {"location": "San Francisco, CA", "unit": "fahrenheit"},
            {"location": "Tokyo, Japan", "unit": "celsius"}
        ]
    }
    # Additional tool definitions omitted for brevity
]

request_body = {
    "anthropic_version": "bedrock-2023-05-31",
    "anthropic_beta": ["tool-search-tool-2025-10-19", "tool-examples-2025-10-29", "effort-2025-11-24"],
    "max_tokens": 4096,
    "temperature": 0.7,
    "output_config": {"effort": "medium"},
    "messages": [{"role": "user", "content": "What's the weather in Seattle?"}],
    "tools": tools
}

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

Setting effort to high yields the best quality, medium balances cost and performance, and low minimizes token usage.

Integration with Bedrock AgentCore

Bedrock AgentCore provides persistent memory, a Tool Gateway that converts APIs and Lambda functions into Agent‑compatible tools, and built‑in IAM for secure resource access. It also offers session isolation, up to 8‑hour workflow support, and observability via Amazon CloudWatch (token usage, latency, error rates).

Pricing and Availability

Opus 4.5 is priced at $5 per million input tokens and $25 per million output tokens, roughly one‑third the cost of the previous Opus model. The model is available globally through Bedrock’s cross‑region inference, which automatically routes requests to the nearest capacity.

Typical Use Cases

Software development : End‑to‑end code generation, refactoring, and full‑stack architecture design; supports agents that orchestrate ten or more tools.

Enterprise operations : Automated creation of PowerPoint, Excel, and Word documents; long‑running project management with consistent cross‑file context.

Financial analysis : Handles regulatory filings, industry reports, and internal data for predictive modeling and compliance.

Security workflows : Correlates logs, threat intel, and vulnerability databases for automated detection and response.

For detailed specifications, pricing tiers, and deployment guidance, refer to the official Amazon Bedrock documentation.