Anthropic’s Claude Haiku 5.5, now available on Amazon Bedrock and Claude Platform on AWS, is the fastest and most efficient model in the Claude 5.5 family. Designed for subagents and high-volume, cost-sensitive work, it costs around 75% less than Claude Haiku 4.5 for most tasks. This model excels in coding, tool use, computer use, and agentic tasks, making it a versatile choice for developers and enterprises.
Key Improvements in Claude Haiku 5.5
Claude Haiku 5.5 introduces effort controls, allowing users to tune cost against intelligence for each task rather than applying a single setting across an entire workload. This flexibility is particularly useful for quick, repeatable tasks at scale. For coding, it acts as a subagent, routing requests, reviewing code, and classifying long documents. In knowledge work, it extracts key information from small-to-medium documents, performs initial scans, and answers quick questions over a knowledge base. For interactive applications, it delivers fast, helpful responses, making it suitable for simple conversations.
The model also handles traditional natural language processing (NLP) tasks like classification, summarization, and text generation at production volumes and costs. It supports agentic coding, multi-step tool use, and high-resolution images, making it a strong subagent for repetitive browser and desktop tasks.
Pairing Claude Haiku 5.5 with Opus 5.5
Claude Haiku 5.5 pairs seamlessly with Claude Opus 5.5, creating a powerful duo for complex problem-solving. Opus 5.5 handles planning and judgment, breaking down complex problems and making critical decisions. Haiku 5.5, on the other hand, executes well-defined tasks quickly and efficiently, such as routing requests, classifying documents, and applying specific code changes across multiple files. This combination ensures careful reasoning where needed and lower costs and latency elsewhere.
Getting Started with Claude Haiku 5.5 on Amazon Bedrock
To use Claude Haiku 5.5, access the Amazon Bedrock console, select the Playground, and choose Haiku 5.5 as the model. Programmatically, you can call the model using the Anthropic Messages API against `bedrock-runtime` with the Anthropic SDK. Here’s an example using the AWS SDK for Python (Boto3):
```python import boto3 import json # Create a Bedrock Runtime client bedrock_runtime = boto3.client( service_name="bedrock-runtime", region_name="us-east-1" ) # Invoke Claude Haiku 5.5 response = bedrock_runtime.invoke_model( modelId="global.anthropic.claude-haiku-5-5", contentType="application/json", accept="application/json", body=json.dumps({ "anthropic_version": "bedrock-2023-05-31", "max_tokens": 4096, "messages": [ { "role": "user", "content": "Can you explain the features of Amazon Bedrock?" } ] }) ) result = json.loads(response["body"].read()) # Select the text block from the response print(next(b["text"] for b in result["content"] if b["type"] == "text")) ```
You can also use the Amazon Bedrock Converse API for a unified multi-model experience or the Anthropic Messages API through the Anthropic SDK for a streamlined workflow. Prerequisites include an active AWS account with Amazon Bedrock access, AWS CLI, Python 3.10+, Boto3, Anthropic SDK, and AWS Identity and Access Management (IAM) permissions.
Availability and Monitoring
Claude Haiku 5.5 is available on Amazon Bedrock through various inference profiles in multiple regions, including AWS GovCloud (US). Monitor usage, performance, and costs using Amazon CloudWatch and AWS Cost Explorer to scale applications effectively.
Practical Applications and Limitations
Claude Haiku 5.5 is ideal for development workflows, iterating on UI/UX changes, and making small, specific code changes across files. However, for tasks requiring deep reasoning or long analyses, pairing it with Opus 5.5 is recommended. Its cost-efficiency and speed make it suitable for high-volume tasks, but it may not handle extremely complex problems without Opus’s assistance.