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Anthropic's latest AI models boast enhanced creative and technical capabilities, with Claude 3.5 Sonnet excelling in software engineering and a new Haiku model adding poetic flair, while both interact naturally with computers for the first time.
Today, Anthropic has announced significant updates to its AI models, including the upgraded Claude 3.5 Sonnet and a new model, Claude 3.5 Haiku. These enhancements come alongside an exciting experimental feature: computer use, which allows Claude to interact with computers as humans do.
The upgraded Claude 3.5 Sonnet delivers substantial improvements across various benchmarks, particularly in coding and tool use tasks. Here are the key enhancements:
These enhancements make Claude 3.5 Sonnet a powerful tool for developers and researchers, offering state-of-the-art capabilities in software engineering.
Claude 3.5 Haiku is the latest addition to Anthropic's lineup. It matches the performance of Claude 3 Opus, their prior largest model, on many evaluations while maintaining a similar speed to the previous generation of Haiku models. Key features include:
The new model is set to be released later this month, providing users with an additional option for their AI needs.

Perhaps the most exciting announcement is the introduction of computer use in public beta. This feature allows Claude to interact with computers as humans do-by looking at screens, moving cursors, clicking buttons, and typing text. Key points:
Several companies have already begun exploring the potential of these new capabilities:
The upgraded Claude 3.5 Sonnet is now available for all users. Developers can start building with the computer use beta via the Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI. The new Claude 3.5 Haiku will be released later this month.
Claude 3.5 Haiku has been revised in pricing to $0.80 per million tokens for input and $4 per million tokens for output, making it more accessible for a broader range of users.
For more information on how to integrate these new features into your projects, check out the Anthropic API documentation.
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About the author
Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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23 October 2024
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