Using Claude 3.5 Sonnet on AWS Bedrock

Implementation guide · Claude 3.5 · Anthropic

Serverless

AWS Bedrock exposes Claude 3.5 Sonnet through model ID claude-3.5-sonnet. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-26. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at AWS Bedrock and generate an API key.
  2. 2
    Use the AWS Bedrock SDK or REST API to call claude-3.5-sonnet — see the documentation for request format.
  3. 3
    You'll be billed $3.00/1M input, $15.00/1M output tokens. See full pricing.

Code Examples

Install
pip install boto3
API key
AWS_ACCESS_KEY_ID
Model ID
claude-3.5-sonnet

Use Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.

import boto3

# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="claude-3.5-sonnet",
    messages=[{
        "role": "user",
        "content": [{"text": "Hello"}]
    }]
)
print(response["output"]["message"]["content"][0]["text"])

Pricing on AWS Bedrock

TypePrice (per 1M)
Input tokens$3.00
Output tokens$15.00

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsCode Execution

About Claude 3.5 Sonnet

Claude 3.5 Sonnet, the latest in Anthropic's line of large language models, merges state-of-the-art reasoning, coding, and natural language understanding capabilities with advanced multi-modal processing. Released in October 2024, it excels in benchmarks against previous models and competitors, thanks to its scalable attention mechanisms and massive neural network architecture. Its dynamic routing enables specialization in various tasks, supporting applications from software development and data analysis to customer support and content creation. Users benefit from its "Artifacts" feature for real-time collaborative workflows and can access the model through platforms like Claude.ai and APIs at competitive pricing rates.

Model Specs

Released2024-06-20
Parameters70B
Context200k
ArchitectureDecoder Only
Knowledge cutoff2024-04

Provider

AWS Bedrock

Amazon Web Services

Seattle, Washington, United States