Introducing Claude Haiku 5.5 on AWS

Anthropic's Claude Haiku 5.5 is now available on Amazon Bedrock and Claude Platform on AWS, the company announced, with pricing around 75 percent lower than Claude Haiku 4.5 for most tasks. Anthropic describes Haiku 5.5 as the fastest and most efficient model in the Claude 5.5 family, built for subagents and high-volume, cost-sensitive work, and as the first Haiku model with effort controls for tuning cost against intelligence per task. The model supports agentic coding, multi-step tool use, high-resolution images, and computer use subagent tasks, and is positioned to pair with Claude Opus 5.5, which handles planning and judgment calls.

Artificial Intelligence https://aws.amazon.com/blogs/machine-learning/ Introducing Claude Haiku 5.5 on AWS Today, we’re excited to announce the availability of Claude Haiku 5.5 on Amazon Bedrock https://aws.amazon.com/bedrock/ and Claude Platform on AWS https://aws.amazon.com/blogs/machine-learning/introducing-claude-platform-on-aws-anthropics-native-platform-through-your-aws-account/ . According to Anthropic, Claude Haiku 5.5 is the fastest and most efficient model in the Claude 5.5 family, built for subagents and high-volume, cost-sensitive work. It also costs around 75 percent less than Claude Haiku 4.5 for most tasks. Amazon Bedrock gives you Haiku 5.5 capabilities while keeping your data within AWS infrastructure with Regional data residency. It works with the AWS controls your team already uses, including AWS Identity and Access Management IAM for access, AWS CloudTrail for audit, Amazon CloudWatch for monitoring, and Amazon Bedrock Guardrails. Usage appears on your AWS bill. Claude Platform on AWS gives you direct access to Anthropic’s native platform experience and capabilities through the AWS Management Console. Build, test, and deploy with the same APIs, features, and console experience you’d get working with Anthropic directly, unified with AWS billing and authentication. This post covers Claude Haiku 5.5’s improvements, practical guidance on when to choose Haiku 5.5, and how to get started on Amazon Bedrock. What makes Claude Haiku 5.5 different Claude Haiku 5.5 is Anthropic’s most capable Haiku model, across coding, tool use, computer use, and agentic tasks. It’s also the first Haiku model with effort controls, so you can tune cost against intelligence for each task instead of picking one setting for an entire workload. The improvements stand out on quick and repeatable work at scale. For coding tasks, it acts as a subagent routing requests, reviewing code and classifying long documents. For knowledge work, Haiku 5.5 pulls key information from small-to-medium documents, does initial scans, and answers quick questions over a knowledge base. For interactive applications, it responds fast enough for simple conversations to have quick and helpful answers. It also handles traditional natural language processing NLP tasks such as classification, summarization, and text generation at the volume and cost that production features require. Haiku 5.5 handles agentic coding and multi-step tool use, and supports high-resolution images. Haiku 5.5 can be used as a strong computer use subagent for repetitive browser and desktop tasks, at a cost that holds up at scale. In development workflows, it’s a good fit for iterating quickly on UI and UX changes and for small, specific code base changes across multiple files. Pairing Claude Haiku 5.5 with Opus 5.5 Haiku 5.5 pairs with the recently announced Claude Opus 5.5. Together, they make a strong team: Opus 5.5 plans and makes the judgment calls, and Haiku 5.5 carries out well-defined tasks quickly and at scale. You get careful reasoning where it counts and lower cost and latency everywhere. 1. Claude Opus 5.5 plans the work and makes the judgment calls. It breaks down complex problems, decides the approach, and takes on the hardest reasoning, such as release debugging, security review of large pull requests, and long analyses that end in a finished report. 2. Claude Haiku 5.5 takes on the fast layer of subagents. It handles quick, high-volume tasks, such as routing requests, classifying and summarizing, rewriting long documents, and applying small, specific changes across many files. As a review subagent, it can quickly check the order of operations and high-level direction, so Opus 5.5 can spend its tokens on the hardest reasoning. Because it is fast and cost efficient, you can run many Haiku subagents in parallel. Getting started with Claude Haiku 5.5 on Amazon Bedrock To try Haiku 5.5, open the Amazon Bedrock console https://console.aws.amazon.com/bedrock/ , choose Test , then Playground , and select Haiku 5.5 as the model. From there, you can run a prompt directly against it. Programmatically, you can call the model with the Anthropic Messages API https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html against bedrock-runtime through the Anthropic SDK. You can also use the Invoke https://docs.aws.amazon.com/bedrock/latest/userguide/inference-api.html and Converse https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html APIs on bedrock-runtime through the AWS Command Line Interface AWS CLI https://aws.amazon.com/cli/ and AWS SDK https://aws.amazon.com/developer/tools/ . Prerequisites You must have the following prerequisites: 1. Active AWS account with Amazon Bedrock access. 2. AWS Command Line Interface AWS CLI installed and configured. 3. Python 3.10+. 4. Boto3 installed: pip install boto3 . 5. Anthropic SDK installed: pip install anthropic . 6. The Amazon Bedrock Token Generator for Amazon Bedrock authentication installed: pip install aws bedrock token generator . 7. AWS Identity and Access Management IAM permissions: bedrock:InvokeModel , bedrock:InvokeModelWithResponseStream . Here’s a quick example using the AWS SDK for Python Boto3 with the InvokeModel API: You can also use the Amazon Bedrock Converse API for a unified multi-model experience: You can also use the Anthropic Messages API through the anthropic SDK package for a streamlined experience: You can explore the Getting Started notebook https://github.com/aws-samples/anthropic-on-aws/blob/main/notebooks/claude haiku 5 5 getting started/claude-haiku-5-5-getting-started.ipynb for more examples. You can monitor usage, performance, and costs through Amazon CloudWatch https://docs.aws.amazon.com/bedrock/latest/userguide/monitoring.html and AWS Cost Explorer https://aws.amazon.com/aws-cost-management/aws-cost-explorer/ to scale your applications as demand grows. Availability Claude Haiku 5.5 is available today on Amazon Bedrock through the US Geo CRIS us. , EU Geo CRIS eu. , AU Geo CRIS au. , JP Geo CRIS jp. and Global CRIS global. inference profiles on bedrock-runtime . In AWS GovCloud US , it’s available on both the bedrock-runtime and bedrock-mantle endpoints. See the Amazon Bedrock documentation https://docs.aws.amazon.com/bedrock/latest/userguide/model-cards-anthropic.html for the full list of supported AWS Regions. For pricing information, see Amazon Bedrock pricing https://staging.prod.website.marketing.aws.dev/bedrock/pricing/ . It’s also available through Claude Platform on AWS https://aws.amazon.com/blogs/machine-learning/introducing-claude-platform-on-aws-anthropics-native-platform-through-your-aws-account/ in North America Give Claude Haiku 5.5 a try on the Amazon Bedrock console https://console.aws.amazon.com/bedrock , in Claude Platform on AWS https://aws.amazon.com/blogs/machine-learning/introducing-claude-platform-on-aws-anthropics-native-platform-through-your-aws-account/ , or explore the Getting Started notebooks https://github.com/aws-samples/anthropic-on-aws/tree/main/notebooks on GitHub.