Today, we’re announcing an upgraded Claude 3.5 Sonnet, and a new model, Claude 3.5 Haiku. The upgraded Claude 3.5 Sonnet delivers across-the-board improvements over its predecessor, with particularly significant gains in coding—an area where it already led the field. Claude 3.5 Haiku matches the performance of Claude 3 Opus, our prior largest model, on many evaluations for the same cost and similar speed to the previous generation of Haiku. (View Highlight)
We’re also introducing a groundbreaking new capability in public beta: computer use. Available today on the API, developers can direct Claude to use computers the way people do—by looking at a screen, moving a cursor, clicking buttons, and typing text. Claude 3.5 Sonnet is the first frontier AI model to offer computer use in public beta. At this stage, it is still experimental—at times cumbersome and error-prone. We’re releasing computer use early for feedback from developers, and expect the capability to improve rapidly over time. (View Highlight)
Asana, Canva, Cognition, DoorDash, Replit, and The Browser Company have already begun to explore these possibilities, carrying out tasks that require dozens, and sometimes even hundreds, of steps to complete. For example, Replit is using Claude 3.5 Sonnet’s capabilities with computer use and UI navigation to develop a key feature that evaluates apps as they’re being built for their Replit Agent product. (View Highlight)
The updated Claude 3.5 Sonnet shows wide-ranging improvements on industry benchmarks, with particularly strong gains in agentic coding and tool use tasks. On coding, it improves performance on SWE-bench Verified from 33.4% to 49.0%, scoring higher than all publicly available models—including reasoning models like OpenAI o1-preview and specialized systems designed for agentic coding. It also improves performance on TAU-bench, an agentic tool use task, from 62.6% to 69.2% in the retail domain, and from 36.0% to 46.0% in the more challenging airline domain. The new Claude 3.5 Sonnet offers these advancements at the same price and speed as its predecessor. (View Highlight)
Early customer feedback suggests the upgraded Claude 3.5 Sonnet represents a significant leap for AI-powered coding. GitLab, which tested the model for DevSecOps tasks, found it delivered stronger reasoning (up to 10% across use cases) with no added latency, making it an ideal choice to power multi-step software development processes. Cognition uses the new Claude 3.5 Sonnet for autonomous AI evaluations, and experienced substantial improvements in coding, planning, and problem-solving compared to the previous version. The Browser Company, in using the model for automating web-based workflows, noted Claude 3.5 Sonnet outperformed every model they’ve tested before. (View Highlight)
Claude 3.5 Haiku is the next generation of our fastest model. For the same cost and similar speed to Claude 3 Haiku, Claude 3.5 Haiku improves across every skill set and surpasses even Claude 3 Opus, the largest model in our previous generation, on many intelligence benchmarks. Claude 3.5 Haiku is particularly strong on coding tasks. For example, it scores 40.6% on SWE-bench Verified, outperforming many agents using publicly available state-of-the-art models—including the original Claude 3.5 Sonnet and GPT-4o. (View Highlight)
With low latency, improved instruction following, and more accurate tool use, Claude 3.5 Haiku is well suited for user-facing products, specialized sub-agent tasks, and generating personalized experiences from huge volumes of data—like purchase history, pricing, or inventory records. (View Highlight)
With computer use, we’re trying something fundamentally new. Instead of making specific tools to help Claude complete individual tasks, we’re teaching it general computer skills—allowing it to use a wide range of standard tools and software programs designed for people. Developers can use this nascent capability to automate repetitive processes, build and test software, and conduct open-ended tasks like research. (View Highlight)
To make these general skills possible, we’ve built an API that allows Claude to perceive and interact with computer interfaces. Developers can integrate this API to enable Claude to translate instructions (e.g., “use data from my computer and online to fill out this form”) into computer commands (e.g. check a spreadsheet; move the cursor to open a web browser; navigate to the relevant web pages; fill out a form with the data from those pages; and so on). On OSWorld, which evaluates AI models’ ability to use computers like people do, Claude 3.5 Sonnet scored 14.9% in the screenshot-only category—notably better than the next-best AI system’s score of 7.8%. When afforded more steps to complete the task, Claude scored 22.0%. (View Highlight)
While we expect this capability to improve rapidly in the coming months, Claude’s current ability to use computers is imperfect. Some actions that people perform effortlessly—scrolling, dragging, zooming—currently present challenges for Claude and we encourage developers to begin exploration with low-risk tasks. Because computer use may provide a new vector for more familiar threats such as spam, misinformation, or fraud, we’re taking a proactive approach to promote its safe deployment. We’ve developed new classifiers that can identify when computer use is being used and whether harm is occurring. You can read more about the research process behind this new skill, along with further discussion of safety measures, in our post on developing computer use. (View Highlight)
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