Anthropic Unveils Claude 3.7 Sonnet and Claude Code: A New Era in AI Reasoning and Development

Claude 3.7 Sonnet & Claude Code : Advanced AI for Real-World Applications

Anthropic's latest innovations, Claude 3.7 Sonnet and Claude Code, mark a significant advancement in artificial intelligence. These tools combine hybrid reasoning with practical features tailored for developers. They aren't about flashy benchmarks or theoretical achievements; they're designed to meet you where you are, solving real-world problems with a mix of speed, precision, and adaptability. If you've ever wished for an AI that could think fast when needed but also slow down to reason through the tough stuff, you're not alone -- and this might just be the breakthrough you've been waiting for. At its core, Claude 3.7 Sonnet introduces a hybrid reasoning model that mirrors how humans think -- balancing quick, intuitive decisions with deliberate, logical problem-solving. Meanwhile, Claude Code takes this intelligence into the realm of software development, streamlining workflows and automating tedious tasks so you can focus on what truly matters. Whether you're a developer, a business leader, or just someone curious about how AI can make life a little easier, these tools offer a glimpse into a future where technology doesn't just assist -- it collaborates. Claude 3.7 Sonnet introduces a hybrid reasoning model inspired by cognitive science, integrating two distinct systems to handle diverse tasks effectively: This dual-system approach allows you to adjust the AI's "thinking budget," balancing speed and depth depending on the task. For example, System 1 excels in handling rapid customer inquiries, while System 2 is better equipped for resolving intricate technical issues. This flexibility ensures the AI adapts seamlessly to various scenarios, making it a valuable tool across industries. Unlike traditional AI models that focus on excelling in academic benchmarks, Claude 3.7 Sonnet is designed to address real-world challenges across multiple industries. Its practical applications include: By prioritizing tangible outcomes, Claude 3.7 Sonnet transforms AI into a tool for solving pressing business problems, delivering measurable value in dynamic environments. This focus ensures that the technology remains relevant and impactful in addressing industry-specific needs. Discover other guides from our vast content that could be of interest on reasoning AI. Claude Code extends the capabilities of Claude 3.7 Sonnet into the realm of software development, offering a suite of tools that integrate seamlessly into your coding workflow. Its features are designed to save time, improve code quality, and enhance collaboration: For instance, you can use Claude Code to analyze your codebase, run automated tests, and resolve bugs efficiently. By automating routine tasks, it allows you to focus on strategic goals, such as designing innovative features or improving system architecture. One of the standout capabilities of Claude Code is its ability to automate testing and resolve errors with precision. Automated testing ensures your code adheres to quality standards without requiring extensive manual effort. Meanwhile, its error resolution functionality identifies and fixes issues swiftly, reducing the risk of human error during debugging. For example, if a bug disrupts your application, Claude Code can analyze the error, suggest actionable fixes, and even implement them. This capability not only saves time but also enhances the reliability of your software, allowing faster deployment cycles and improved user experiences. Claude Code's integration with GitHub is particularly beneficial for teams managing complex projects. By automating repetitive tasks and providing intelligent insights, the AI enhances collaboration and efficiency. Key features include: These features ensure smoother workflows, allowing teams to collaborate more effectively and dedicate their efforts to strategic development goals. By reducing the burden of repetitive tasks, Claude Code enables developers to achieve higher productivity and innovation. Anthropic envisions a progressive evolution for AI systems, with a clear roadmap for their development and application: This vision highlights the potential of AI to not only augment human capabilities but also redefine how industries approach problem-solving and innovation. By transitioning from assistants to innovators, AI systems like Claude 3.7 Sonnet and Claude Code are poised to play a fantastic role in shaping the future. Claude 3.7 Sonnet exemplifies goal-oriented autonomy, allowing it to focus on achieving specific objectives with minimal oversight. This capability is evident in tasks like playing Pokémon Red, where the AI demonstrates planning, adaptability, and strategic execution. In practical applications, this autonomy translates into measurable productivity gains. You can delegate open-ended tasks to the AI, confident in its ability to deliver results efficiently and effectively. By automating complex processes and adapting to dynamic requirements, Claude 3.7 Sonnet enables businesses to achieve their goals with greater speed and accuracy. Anthropic's Claude 3.7 Sonnet and Claude Code represent a significant step forward in AI development, emphasizing hybrid reasoning, real-world applications, and productivity enhancement. By combining intuitive and logical thinking, these tools offer tailored solutions for diverse challenges, making them indispensable for developers, businesses, and industries alike. Whether you're optimizing workflows, solving complex problems, or driving innovation, these AI systems provide a robust foundation for achieving your objectives. As AI continues to evolve, its potential to transform industries and amplify human capabilities becomes increasingly evident, paving the way for a more efficient and innovative future.

Claude 3.7 First Impressions : Advanced AI for Coding and Creative Writing

Anthropic's release of Claude 3.7 Sonnet marks a pivotal step in the evolution of AI, delivering notable advancements in reasoning, coding, and creative writing. Building on the foundation of its predecessor, Claude 3.5, this latest iteration has captured the attention of developers, researchers, and creators alike. Whether you're tackling complex coding challenges, exploring creative projects, or conducting research, Claude 3.7 offers a versatile and efficient tool designed to meet diverse needs. Its improvements reflect a commitment to enhancing both technical precision and creative potential, making it a valuable resource across multiple disciplines. In this overview All About AI provides their first impressions of Claude 3.7 Sonnet, exploring its standout features, real-world applications, and the buzz it's generating among developers and creators alike. From solving intricate puzzles to generating rap lyrics, this model promises to be more than just an upgrade -- it's a glimpse into the future of AI-powered problem-solving and creativity. Whether you're a seasoned developer or just curious about what's next in AI, there's plenty to unpack here. Claude 3.7 demonstrates exceptional proficiency in coding tasks, producing functional and optimized code with remarkable accuracy. For instance, it successfully developed a Python program simulating a ball bouncing inside a spinning hexagon, complete with gravity and friction effects. This example highlights not only its technical skill but also its ability to solve complex problems in a single attempt. Compared to other AI models, Claude 3.7 consistently delivers precise and efficient solutions, making it a dependable choice for developers seeking reliability and speed. Its reasoning capabilities further elevate its problem-solving potential. In tests like the "alternative river crossing puzzle," the model exhibited strong contextual understanding and logical reasoning. It also excelled in interpreting nuanced scenarios, such as a custom "read between the lines" challenge, proving its ability to handle intricate tasks with confidence and clarity. These features make Claude 3.7 a powerful tool for addressing both technical and conceptual challenges. For those exploring creative endeavors, Claude 3.7 opens up a world of possibilities. Its creative writing skills were highlighted when it generated a rap diss track about a competing AI model, producing content that was both engaging and contextually relevant. This creative output was later integrated into a music generator, showcasing its potential for multidisciplinary applications that combine technical expertise with artistic expression. Beyond writing, Claude 3.7 has demonstrated its versatility in interactive projects. One notable example involved creating a webcam-based music app that uses hand gestures to play musical notes. This innovative use case highlights the model's ability to seamlessly merge technical coding with creative expression, allowing the development of unique and interactive applications. Whether you're a developer, artist, or researcher, Claude 3.7 provides tools that encourage experimentation and innovation across diverse fields. Uncover more insights about Anthropic AI models in previous articles we have written. Claude 3.7 has achieved significant advancements in benchmark tests, outperforming its predecessor in evaluations such as SWEET and GGPQA. These results underscore its enhanced reasoning and agentic capabilities, making it a strong candidate for tackling complex workflows. Its ability to handle detailed problem-solving tasks with efficiency and accuracy sets it apart from other models in its class. A key innovation in this release is the introduction of "thinking tokens," which allow for better management of token budgets during extended reasoning tasks. This feature provides users with greater control and efficiency, particularly in scenarios requiring detailed and prolonged problem-solving. By optimizing token usage, Claude 3.7 ensures that users can achieve more without exceeding resource limits, making it a practical choice for both small-scale and large-scale projects. Despite its advancements, Claude 3.7 retains the same pricing structure as Claude 3.5. While some may have anticipated a price reduction, the model compensates with new features that add significant value. For instance, token budgeting enables cost control and customization, making it a practical option for developers seeking flexibility and scalability in their projects. The API enhancements further enhance its appeal, offering tools that cater to a wide range of use cases. Whether you're managing large-scale projects or experimenting with smaller applications, Claude 3.7 provides the adaptability needed to meet your requirements. Its ability to integrate seamlessly into various workflows ensures that users can maximize its potential without incurring additional costs. Looking ahead, Claude 3.7 is poised for further innovation. Features like cloud coding, currently in limited preview, hint at expanded capabilities on the horizon. This feature could transform how developers approach coding tasks by allowing real-time collaboration and enhanced accessibility. Additionally, the model's potential for agentic workflows and tool integrations suggests new opportunities for exploration in both technical and creative domains. The AI community has responded enthusiastically to Claude 3.7. Platforms like Hacker News are abuzz with discussions about its capabilities, with users expressing optimism about its potential to transform industries ranging from software development to creative content generation. This widespread interest reflects the model's ability to address diverse needs while maintaining a high standard of performance. Claude 3.7 represents a significant leap forward in AI technology, combining advanced reasoning, coding, and creative writing capabilities into a single, versatile model. Its strong performance in benchmarks and real-world applications underscores its reliability and adaptability. While the pricing remains unchanged, the model's enhanced features and flexibility make it a compelling choice for developers, researchers, and creators. As you explore its potential, Claude 3.7 stands ready to tackle a wide range of challenges, setting a new standard for AI excellence. Whether you're solving technical problems, crafting creative content, or innovating in multidisciplinary fields, this model offers the tools and capabilities to help you achieve your goals.

Claude 3.7 Sonnet Fully Tested : Advanced AI for Developers and Researchers

Claude 3.7 Sonnet, the latest AI model from Anthropic, represents a significant advancement in artificial intelligence. With its enhanced reasoning capabilities, exceptional coding proficiency, and ability to handle extended contexts, this model is designed to address a wide range of technical challenges. Whether you are a developer, researcher, or business professional, Claude 3.7 Sonnet provides tools to simplify complex workflows, boost productivity, and deliver precise, reliable results. Whether you're building a responsive web app, optimizing algorithms, or creating dynamic visual elements, Claude 3.7 Sonnet promises to be a fantastic option. With its hybrid reasoning capabilities, extended context handling, and exceptional coding proficiency, this model is tailored to meet the demands of modern problem-solving. But what exactly sets it apart from the rest? World of AI has tested the new Anthropic AI models and provides more insight into the features and applications that make Claude 3.7 Sonnet a standout tool for developers and innovators alike. Claude 3.7 Sonnet introduces several innovative features that set it apart from its predecessors and competitors: These features make Claude 3.7 Sonnet a versatile and powerful tool, capable of addressing challenges in areas ranging from software development to algorithmic optimization. One of the standout capabilities of Claude 3.7 Sonnet is its hybrid reasoning approach, which allows it to adapt its problem-solving strategy based on the complexity of the task at hand. For instance, if you are developing a front-end application, the model can instantly provide functional, clean code. For more complex problems, such as designing an efficient algorithm, it offers detailed, logical explanations to guide you through the solution process. This adaptability ensures that the model remains effective across a wide spectrum of use cases. Take a look at other insightful guides from our broad collection that might capture your interest in AI Coding. Claude 3.7 Sonnet excels in coding, making it an indispensable tool for developers working across various domains. Its coding expertise includes: Whether you are building a responsive website, creating dynamic visual elements, or optimizing recursive functions, the model generates clean, efficient code tailored to your specific needs. Its ability to handle both routine and advanced coding tasks ensures that developers can rely on it for a wide range of projects, from simple prototypes to complex systems. A major enhancement in Claude 3.7 Sonnet is its ability to process extended contexts, allowing it to analyze larger datasets or codebases without losing coherence or accuracy. This feature is particularly valuable for: For developers and researchers working on large-scale projects, this capability ensures that the model remains a reliable partner, even when dealing with complex, multi-dimensional inputs. Its ability to maintain accuracy and coherence across extended contexts makes it a powerful tool for tackling intricate challenges. Claude 3.7 Sonnet has established itself as a leader in AI performance, consistently outperforming its predecessor and competitors on key benchmarks such as the Suway Bench. These results underscore its ability to deliver: From solving algorithmic problems to generating SVG graphics, the model's benchmark results highlight its reliability and precision in real-world applications. This performance makes it a trusted tool for professionals seeking dependable AI solutions. The versatility of Claude 3.7 Sonnet makes it suitable for a wide range of real-world applications. Some practical use cases include: These examples demonstrate how the model adapts to diverse project requirements, providing tailored solutions that save time and resources. Its ability to address industry-specific challenges ensures that it remains a valuable asset for professionals across various fields. Claude 3.7 Sonnet excels in algorithmic problem-solving, particularly in areas like recursive and dynamic programming. Its ability to generate optimized solutions minimizes computational overhead while maintaining accuracy. For researchers and developers, this capability is invaluable when tackling intricate problems that demand both accuracy and resource efficiency. The model's ability to deliver optimized solutions ensures that it remains a reliable tool for solving complex challenges. Despite its advanced capabilities, Claude 3.7 Sonnet is designed to be accessible to a broad audience. The model is available for free on select platforms, making it an excellent resource for individual developers, small teams, and larger organizations. While users should be mindful of potential rate limits, this accessibility ensures that the model can be seamlessly integrated into workflows without significant barriers. Claude 3.7 Sonnet represents a significant step forward in artificial intelligence, offering a unique combination of speed, depth, and precision. Its hybrid reasoning, extended context handling, and industry-leading performance make it a versatile tool for developers, researchers, and professionals across industries. By using this model, you can confidently tackle complex challenges, streamline workflows, and achieve exceptional results in your projects.

Anthropic Launches Claude 3.7 Sonnet and Claude Code

This week Anthropic has launched two new AI models expanding their range, with Claude 3.7 Sonnet and Claude Code. Claude 3.7 Sonnet is Anthropic's most intelligent AI to date and the first hybrid reasoning model on the market. It can produce near-instant responses or extended, step-by-step thinking that is made visible to the user. Claude 3.7 Sonnet is now available on all Claude plans -- including Free, Pro, Team, and Enterprise -- as well as the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. Claude 3.7 Sonnet is a hybrid reasoning AI model that combines speed with depth, offering flexibility for a wide range of tasks. It is capable of rapid decision-making for straightforward problems while providing detailed, step-by-step reasoning for more complex challenges. This dual-mode functionality allows users to customize the model's reasoning duration via API, tailoring it to specific project requirements. Key features of Claude 3.7 Sonnet include: The model is available across all Claude plans, except the free tier for extended reasoning. Despite its enhanced capabilities, Anthropic has maintained pricing consistent with earlier versions, making sure accessibility for a broad range of users. This balance of affordability and functionality positions Claude 3.7 Sonnet as a valuable tool for software engineers, researchers, and other professionals Claude Code, currently in a limited research preview, is a command-line tool designed to automate complex engineering tasks. It enables developers to perform agentic coding directly from the terminal, streamlining processes such as code editing, testing, debugging, and GitHub integration. This tool is particularly effective for test-driven development and large-scale code refactoring, significantly reducing the time and effort required for these activities. For example, a developer managing a large application can use Claude Code to streamline workflows, reducing the likelihood of human error while accelerating project timelines. Future updates are expected to enhance the tool's reliability and expand its functionality, further solidifying its role as an essential resource for modern software engineering. Both Claude 3.7 Sonnet and Claude Code have demonstrated exceptional performance on industry benchmarks, including SWE-bench Verified and TAU-bench. These evaluations underscore their effectiveness in addressing real-world software development challenges and executing complex tasks. Notable achievements include: By excelling in these areas, the tools set a new benchmark for AI-driven software development, showcasing their potential to handle tasks traditionally requiring significant human expertise. Can learn more about Claude from our previous articles: Anthropic places a strong emphasis on safety and reliability, making sure its tools are both effective and trustworthy. Claude 3.7 Sonnet incorporates advanced mechanisms to distinguish between harmful and benign requests, reducing unnecessary refusals by 45%. This improvement enhances the model's usability while maintaining a high standard of safety. Additional safety features include: By addressing safety concerns, Anthropic ensures its tools are suitable for widespread adoption, building confidence among users in various industries. Anthropic's long-term vision includes enhancing the deep reasoning capabilities of its tools and allowing seamless collaboration between humans and AI. Future iterations of Claude Code may introduce features that allow multiple AI agents to work together on complex projects, such as designing and testing new software architectures. Key areas of focus for future development include: By prioritizing collaboration and continuous improvement, Anthropic aims to redefine the role of AI in software development, fostering innovation and efficiency. The release of Claude 3.7 Sonnet and Claude Code highlights Anthropic's commitment to advancing AI in software engineering. By combining advanced reasoning with practical automation, these tools address critical challenges in productivity, safety, and real-world applicability. As Anthropic continues to refine and expand its offerings, the potential for AI to transform software development becomes increasingly evident.

Claude 3.7 just raised the bar for AI: Here's why it's a game-changer

Anthropic has launched Claude 3.7, the world's first AI model capable of producing either standard output or a controllable amount of "reasoning" to address complex problems. This hybrid model is designed to enhance user and developer interaction by allowing a balance between instinctive responses and methodical reasoning. Michael Gerstenhaber, product lead at Anthropic, stated, "The [user] has a lot of control over the behavior -- how long it thinks, and can trade reasoning and intelligence with time and budget." Claude 3.7 introduces a "scratchpad" feature that displays the model's reasoning process, drawing inspiration from the popular Chinese AI model DeepSeek. This functionality aids users in comprehending the model's approach to problem-solving, facilitating prompt adjustments. Dianne Penn, product lead of research at Anthropic, emphasized the effectiveness of the scratchpad in tandem with the adjustable reasoning capability. Users may instruct the model to allocate more time for problem resolution if initial attempts do not yield the desired breakdown. Claude 3.7's hybrid structure distinguishes it from competitors. While OpenAI released a reasoning model called o1 in September 2024, and later a more robust version named o3, both require users to switch between models to access reasoning features. Anthropic's Claude 3.7 allows for seamless toggling between conventional responses and extended reasoning, a significant advantage. The hybrid model aligns with the reasoning frameworks described by Nobel-prize-winning economist Daniel Kahneman in his book "Thinking, Fast and Slow," offering both instinctive and deliberate cognitive processes. Standard models, such as large language models (LLMs), typically generate instant responses but may falter in tasks requiring thorough reasoning, such as arithmetic calculations. To enhance Claude 3.7's capabilities, Anthropic employed reinforcement learning to train the model with additional data focusing on business applications like coding and legal inquiries. Penn noted that "the things that we made improvements on are [...] technical subjects or subjects which require long reasoning." The model has outperformed OpenAI's o1 in specific frameworks like SWE-bench when tackling complex coding challenges. Claude AI can now mirror your writing style perfectly The company has introduced Claude Code, a new tool designed to assist with AI-driven coding tasks, which performs well in complex scenarios. "The model is already good at coding," Penn added. "[But] additional thinking would be good for cases that might require very complex planning -- say you're looking at an extremely large code base for a company." Claude 3.7 Sonnet is available across all Claude plans -- Free, Pro, Team, and Enterprise -- as well as through the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. The model maintains the same pricing structure as its predecessors: $3 per million input tokens and $15 per million output tokens, which includes thinking tokens. Anthropic has developed Claude 3.7 Sonnet with a philosophy that integrates reasoning as a core component of the model. It functions both as an upgraded ordinary LLM and a reasoning model, allowing users to choose when they want direct responses or longer, more reflective answers. In extended thinking mode, Claude 3.7 refines its responses, enhancing performance on tasks in math, physics, instruction-following, and coding. Using Claude 3.7 Sonnet through the API, users can control their "thinking" budget by specifying a maximum number of tokens. This flexibility allows users to prioritize speed versus the quality of the result. Claude's recent evaluations indicate leadership in coding capabilities across multiple platforms. Cursor recognized Claude as being best-in-class for real-world coding tasks, with advancements in managing intricate codebases. Cognition reported superior performance in planning code alterations, while Vercel noted its accuracy in navigating complex agent workflows. Replit has effectively employed Claude for the development of sophisticated web applications, and tests conducted by Canva revealed that Claude consistently delivers production-ready code with improved design quality and significantly fewer errors. Claude Code, currently in limited research preview, functions as a collaborative tool that can read, edit code, run tests, and interact with GitHub, streamlining the coding process. Early tests have shown that Claude Code can accomplish tasks in a single session that usually require extensive manual effort. Future enhancements will focus on tool reliability, long command support, and improved performance. Anthropic has emphasized its commitment to developing Claude 3.7 Sonnet with a focus on security, safety, and reliability. Claude 3.7 has made discernible distinctions between benign and harmful requests, achieving a 45% reduction in unnecessary refusals compared to its predecessor. The accompanying system card details safety evaluations that could benefit other AI research initiatives and addresses emerging risks, including prompt injection attacks. Claude 3.7 Sonnet and Claude Code represent significant advancements toward AI systems that can effectively support human capabilities by integrating deep reasoning and autonomous collaboration.

Why Anthropic's latest Claude model could be the new AI to beat - and how to try it

Anthropic's Claude AI now has a new model able to "think" longer and deeper when crafting a response to your request. Also: 10 key reasons AI went mainstream overnight - and what happens next Known as Claude 3.7 Sonnet, this latest model uses advanced reasoning and greater processor time to evaluate your question in a step-by-step process and then produce a detailed result. The new extended thinking mode is accessible through the Claude website and the API for developers. But it doesn't come free. Even though Claude 3.7 Sonnet is available for all users, you must have a Pro or Team subscription to tap into the extended thinking option. The extended mode is particularly adept at tackling difficult math and coding problems, as well as front-end web development, Anthropic said in an announcement on Monday. In this mode, Claude "self-reflects" before it provides an answer. Taking the time to develop its response helps it better handle tasks that involve math, physics, instruction-following, and coding. Along the way, Claude shows you the steps it took to arrive at its solution. Also: From zero to millions? How regular people are cashing in on AI In its announcement, Anthropic also touted the performance of Claude 3.7 Sonnet in early testing and use. One site found the new model significantly improved at handling complex codebases and using advanced tools. Another successfully used Claude to build sophisticated web apps and dashboards from scratch -- a task that challenged other models. In a third evaluation, Claude created production-ready code with quality designs and dramatically fewer errors. Testing of agentic tools put Claude 3.7 Sonnet ahead of the 3.5/3.6 version of Sonnet and OpenAI's o1 model. Testing in software engineering placed Claude 3.7 Sonnet at the top among the previous version, OpenAI's o1, and DeepSeek R1. Also: 3 easy side hustles OpenAI's Operator just made possible - plus how you can get started "We've developed Claude 3.7 Sonnet with a different philosophy from other reasoning models on the market," Anthropic said in its announcement. "Just as humans use a single brain for both quick responses and deep reflection, we believe reasoning should be an integrated capability of frontier models rather than a separate model entirely. This unified approach also creates a more seamless experience for users." You can try Claude's new extended mode if you're a Pro or Team subscriber. Head to the website. Click the drop-down menu for the models. Make sure Claude 3.7 Sonnet is selected and change the thinking mode from Normal to Extended. Enter and submit your request. For example, I asked Claude to create a webpage that compares the different AI models available from Anthropic, OpenAI, and Google. Also: Will AI destroy human creativity? No - and here's why In response, Claude displayed each line of HTML and CSS code as it was being generated. When Claude finished its work, I was able to view the page in HTML mode or in preview mode. The only drawback here and with other types of requests is that Claude's information is current only as of October 2024. That means it won't be aware of real-time events and information beyond that cutoff date. Claude 3.7 Sonnet also offers an innovation for developers. With this new version, Anthropic has introduced a command-line tool for agentic coding. Known as Claude Code, this lets developers assign intricate engineering tasks to Claude directly from the terminal. Available for now as a limited research preview, Claude Code can search for and read code, edit files, write and run tests, and commit and push code to GitHub. Citing early testing, Anthropic said that Claude Code was able to complete tasks in a single pass that would otherwise have taken more than 45 minutes of manual labor. Also: Anthropic offers $20,000 to whoever can jailbreak its new AI safety system Being added to Claude Code over the next few weeks are such new features as better tool call reliability, support for long-running commands, and improved in-app rendering. Developers interested in trying Claude Code should head to the Overview site, where they can join a waitlist to sign up for the research preview. "Our goal with Claude Code is to better understand how developers use Claude for coding to inform future model improvements," Anthropic said. "By joining this preview, you'll get access to the same powerful tools we use to build and improve Claude, and your feedback will directly shape its future."

World's First Hybrid AI Reasoning Model : New Claude 3.7 Sonnet

Anthropic has unveiled Claude 3.7 Sonnet, a notable addition to its lineup of large language models (LLMs), building on the foundation of Claude 3.5 Sonnet. Marketed as the first hybrid reasoning model, it introduces two distinct operational modes: standard and extended. The standard mode prioritizes speed and concise responses, while the extended mode focuses on step-by-step reasoning, particularly for complex problem-solving and mathematical tasks. This dual-mode functionality marks a significant advancement in LLM capabilities, but it also comes with specific limitations that you should carefully consider before integrating it into your workflows. In this overview by Skill Leap AI explores what makes Claude 3.7 Sonnet stand out -- and where it still falls short. From its improved coding capabilities to its customizable writing styles, this model offers exciting possibilities for professionals and hobbyists alike. However, it's not without its limitations, including reasoning inconsistencies and the absence of real-time web access. Whether you're considering upgrading from its predecessor or diving into AI tools for the first time, this deep dive will help you weigh the pros and cons of this innovative model and decide if it's the right fit for your needs. At the heart of Claude 3.7 Sonnet lies its hybrid reasoning model, which offers a tailored approach to handling diverse tasks. For instance, if you are troubleshooting a coding issue or working on a mathematical proof, the extended mode provides a structured breakdown of the solution. However, early testing has revealed inconsistencies in its reasoning accuracy. The model occasionally produces errors in logic-based tasks, emphasizing the importance of verifying its outputs, especially in high-stakes scenarios where precision is critical. Claude 3.7 Sonnet is available through a tiered pricing structure, offering flexibility based on your specific requirements: The model is also integrated into the Anthropic API, allowing developers to embed its capabilities into custom applications. This feature is particularly advantageous for businesses seeking to streamline workflows or enhance software development processes. However, if you rely solely on the free tier, you will miss out on the extended mode's advanced reasoning capabilities, which could limit the model's overall value for more demanding use cases. Enhance your knowledge on Anthropic AI by exploring a selection of articles and guides on the subject. Claude 3.7 Sonnet demonstrates significant improvements in coding tasks, bolstered by the introduction of "Claude Code," a tool specifically designed for programming applications. Early testing highlights several strengths: For example, the model has successfully written functional scripts for backend processes and streamlined routine development workflows. However, it struggles with more complex programming challenges. Attempts to create a fully functional chess game or develop front-end web applications often result in incomplete or non-functional outputs. These limitations suggest that while the model is a strong contender for basic coding tasks, it lacks the depth required for nuanced programming projects, making it less reliable for advanced development needs. One of the standout features of Claude 3.7 Sonnet is its ability to generate high-quality written content. The model offers customizable tone options, allowing you to tailor outputs to specific audiences or contexts. Whether you need a formal report, a persuasive article, or a conversational blog post, the model adapts to your requirements with ease. Its instruction-following capabilities are also robust, making sure that it adheres closely to your guidelines. This makes it a valuable tool for content creators, marketers, and professionals who require polished, audience-specific outputs. However, as with any AI-generated content, it is crucial to review and refine the results to ensure accuracy and relevance. While the model excels in generating coherent and contextually appropriate content, occasional inaccuracies or misinterpretations may require manual adjustments. Despite its advancements, Claude 3.7 Sonnet has notable limitations that may affect its usability in certain scenarios: These shortcomings highlight the need for careful oversight when using the model, especially in applications where accuracy is paramount. While it offers innovative features, its inability to access real-time data and occasional reasoning errors suggest that it is best suited for tasks that do not demand flawless precision or up-to-date information. Real-world testing of Claude 3.7 Sonnet has yielded mixed results. In coding benchmarks, the model has demonstrated competitive performance, particularly in backend development and algorithm optimization. However, its limitations become evident in more complex tasks, such as game development or front-end web design, where outputs often fall short of expectations. Similarly, while the extended mode enhances the model's reasoning capabilities, it does not entirely eliminate errors. Users have reported inaccuracies in mathematical reasoning and logic-based problem-solving, indicating that further refinement is needed to improve its reliability. These inconsistencies suggest that while the model shows promise, it is not yet a comprehensive solution for all advanced tasks. Claude 3.7 Sonnet represents a significant step forward in large language model technology, introducing a hybrid reasoning approach that distinguishes it from its predecessors. Its strengths in writing, instruction following, and basic coding tasks make it a valuable tool for professionals across various fields. However, its limitations -- such as the lack of web access, reasoning inaccuracies, and struggles with complex programming challenges -- underscore areas where improvement is needed. As a user, you should carefully assess these strengths and weaknesses to determine whether the model aligns with your specific needs. While it offers innovative features and practical applications, its current shortcomings suggest that it is best suited for tasks that do not require real-time data or flawless reasoning accuracy.

Anthropic Releases Claude 3.7 Sonnet With Reasoning Capabilities

Claude 3.7 AI model is currently available to all users It outperforms OpenAI's o1 in the TAU-bench benchmark Claude Code is Anthropic's first agentic coding tool Anthropic released an upgraded version of its Claude 3.5 Sonnet artificial intelligence (AI) model on Monday. Dubbed Claude 3.7 Sonnet, it is being made available to all Claude users. The AI firm described 3.7 Sonnet as its most intelligent model capable of advanced reasoning. The main focus of the new large language model (LLM) is coding, and to support the capability, the company also introduced Claude Code, Anthropic's first agentic coding tool that can handle a large variety of backend coding tasks. In a newsroom post, the company announced the release of the Claude 3.7 Sonnet model. It is the first hybrid AI model by the company and can perform both as a standard language model as well as a reasoning model. Reasoning models typically utilise test-time compute functions to increase the time spent on a query. During this time, it second-guesses the output, looks for alternative solutions, and verifies the information. With Claude 3.7 Sonnet, users can utilise the same AI model to get both standard and reasoning functions. Explaining the reason behind opting for a hybrid model, Anthropic said, "We believe reasoning should be an integrated capability of frontier models rather than a separate model entirely." Gadgets 360 staff members were able to access the AI model on the free tier, and the responses appear to be more sophisticated compared to the older Sonnet model. However, the improvements were marginal, which is typically the case with most iterative AI models. Users can now access a new Thinking Mode in the model picker menu of Claude, and select between Normal and Extended. While the Normal mode will produce near-instant responses, the Extended mode will trigger reasoning-based responses. Notably, the Extended mode is currently only available to Pro subscribers. Anthropic said developers accessing the model via the application programming interface (API) will be able to control the time the model thinks before producing an output. This can be controlled by determining a specific token value for Claude. This number can go all the way to 1,28,000 tokens, which is the upper ceiling for this model. The AI firm highlighted that this granular control will let developers build more focused products. Coming to performance, the Claude 3.7 Sonnet scored 62.3 percent in the SWE-bench verified benchmark, outperforming the 3.5 Sonnet and OpenAI's o1, as per the company's internal testing. It also outperforms o1 in the TAU-bench benchmark for agentic tool use. Additionally, the AI firm also introduced Claude Code, its first agentic coding tool in a limited research preview. It can perform a wide range of coding tasks including searching and reading code, editing files, writing and running tests, committing and pushing code to GitHub, and using command line tools. In Anthropic's internal testing, the agentic tool was able to complete complex tasks that more than 45 minutes of manual work in a single attempt. Interested individuals can access the preview here. The AI firm highlighted that the tool is being extensively used internally.

Anthropic Releases Claude 3.7 Sonnet, Crushes OpenAI o1, o3-mini, and DeepSeek R1 in Coding

Claude 3.7 Sonnet is available across all Claude plans, including Free, Pro, Team, and Enterprise, as well as through Anthropic's API, Amazon Bedrock, and Google Cloud's Vertex AI. Anthropic has introduced Claude 3.7 Sonnet, its latest AI model, and Claude Code, an agentic coding tool available in a limited research preview. The company in its blog post mentioned that Claude 3.7 Sonnet is "the first hybrid reasoning model on the market" and allows users to choose between near-instant responses and extended, step-by-step reasoning. Claude 3.7 Sonnet is available across all Claude plans, including Free, Pro, Team, and Enterprise, as well as through Anthropic's API, Amazon Bedrock, and Google Cloud's Vertex AI. Extended thinking mode is not included in the free tier. The pricing remains unchanged from previous models at $3 per million input tokens and $15 per million output tokens, which includes thinking tokens. Anthropic describes Claude 3.7 Sonnet as "both an ordinary LLM and a reasoning model in one." Users can decide when the model should generate a quick response or engage in a deeper reasoning process. In API applications, users can also define a thinking budget, limiting the number of tokens used for extended reasoning up to a maximum of 128K tokens. The company said that this approach allows for a trade-off between response speed, cost, and output quality. The model has been optimised for real-world applications rather than competition-style tasks in maths and computer science. Early testing has shown improvements in coding and front-end web development. According to Anthropic, "Cursor noted Claude is once again best-in-class for real-world coding tasks," while companies such as Cognition, Vercel, Replit, and Canva have reported improvements in areas such as full-stack development, tool usage, and production-ready code generation. Claude 3.7 Sonnet has achieved state-of-the-art performance on SWE-bench Verified, a benchmark for resolving real-world software issues, and TAU-bench, which evaluates AI agent performance on complex tasks requiring user and tool interactions. Alongside the model release, Anthropic has introduced Claude Code, an agentic coding tool currently in a limited research preview. The tool enables developers to interact with AI from their command line, with capabilities such as searching and reading code, editing files, writing and running tests, and committing and pushing code to GitHub. "Claude Code is an active collaborator," the company said, "keeping you in the loop at every step." According to Anthropic, Claude Code has demonstrated the ability to complete tasks in a single pass that would otherwise take 45 minutes or more of manual work. The company plans to enhance the tool based on user feedback, improving tool call reliability, long-running command support, and in-app rendering. Claude 3.7 Sonnet also includes improvements in safety and security. The model reduces unnecessary refusals by 45% compared to its predecessor and incorporates new defences against prompt injection attacks. Anthropic said that Claude 3.7 Sonnet and Claude Code represent "an important step towards AI systems that can truly augment human capabilities." The company benchmarked Claude Sonnet 3.7 Sonnet by playing Pokémon Red, the Game Boy classic. Claude was equipped with basic memory, screen pixel input, and function calls to press buttons and navigate the game. This setup allowed it to play continuously beyond standard context limits, sustaining gameplay through tens of thousands of interactions. Claude 3.7 Sonnet successfully defeated three Pokémon Gym Leaders and earned their Badges.

Claude 3.7 Sonnet debuts with "extended thinking" to tackle complex problems

On Monday, Anthropic announced Claude 3.7 Sonnet, a new AI language model with a simulated reasoning (SR) capability called "extended thinking," allowing the system to work through problems step by step. The company also revealed Claude Code, a command line AI agent for developers currently available as a limited research preview. Anthropic calls Claude 3.7 the first "hybrid reasoning model" on the market, giving users the option to choose between quick responses or extended, visible chain-of-thought processing similar to OpenAI's o1 and o3 series models, Google's Gemini 2.0 Flash Thinking, and DeepSeek's R1. When using Claude 3.7's API, developers can specify exactly how many tokens the model should use for thinking, up to its 128,000 token output limit. The new model is available across all Claude subscription plans, and the extended thinking mode feature is available on all plans except the free tier. API pricing remains unchanged at $3 per million input tokens and $15 per million output tokens, with thinking tokens included in the output pricing since they are part of the context considered by the model. In another interesting development -- since Claude 3.5 Sonnet was known as something of a goody two-shoes in the AI world -- Anthropic said that it had reduced unnecessary refusals in 3.7 Sonnet by 45 percent. In other words, 3.7 Sonnet is more likely to do what you ask without complaining about ethical boundaries, which can otherwise pop up in innocent situations when interpreted incorrectly by the neural network running under Claude's hood. In benchmarks, Anthropic's latest model seems to hold its own, and even excels in at least one category in particular: coding. 3.7's predecessor, Claude 3.5 Sonnet, was excellent at programming tasks compared to other AI models in our experience, and according to Anthropic, early testing indicates strong performance in that area. The company claims Claude 3.7 Sonnet achieved top scores on SWE-bench Verified, which evaluates how AI models handle real-world software issues, and also in TAU-bench, which tests AI agents on complex tasks with user and tool interactions. Aiming at software developers, Anthropic has also expanded its GitHub integration to all Claude plans, allowing devs to connect code repositories directly to Claude for bug fixes, feature development, and documentation work. In our personal experience creating hobby programs with Claude 3.5 Sonnet over the past six months, the tool proved valuable for quickly prototyping projects, but we often ran up against usage limits. So far, Anthropic has not announced a subscription plan beyond the existing "Claude Pro" ($20/month) that might extend them, though we suspect developers who come to rely on 3.7 are soon going to need a plan more along the lines of OpenAI's ChatGPT Pro that features vastly expanded usage options for $200 a month. As an aside, our subjective experience with o1 and o3 in coding aligns with the benchmarks in the chart above; they have not been as good as Sonnet at coding. And speaking of upgrades, we might as well talk about the name. Claude 3.5 Sonnet launched in June 2024, but it received an update in October with a nearly identical name (sometimes referred to as "Claude 3.5 Sonnet (new) or "Claude 3.5 Sonnet (October 2024)") that some users criticized as confusing. As a result, some users began unofficially calling that version "Claude 3.6 Sonnet" instead. Apparently, Anthropic got the message on the desire for clearer naming practices, writing "Lesson learned on naming" in a footnote on the Claude 3.7 release page. Taking "extended reasoning" for a spin Like other SR models, Claude 3.7, with extended thinking, tries to work through more complex problems by throwing more tokens at them through an ingrained simulated reasoning process. Just like o1, o3, and DeepSeek R1, you can see the "thinking" process going through Claude 3.7's simulated mind while it works out an ideal answer. To test it out briefly, we gave it a couple of simple tasks, including our time-honored (and now likely compromised as part of training datasets scraped from the web) test of asking it about the origin of the "magenta" color name. Interestingly, xAI's Grok 3 with "thinking" (its SR mode) enabled was the first model that definitively gave us a "no" and not an "it's not likely" to the magenta question. Claude 3.7 Sonnet with extended thinking also impressed us with our second-ever firm "no," then an explanation. In another informal test, we asked 3.7 Sonnet with extended thinking to compose five original dad jokes. We've found in the past that our old prompt, "write 5 original dad jokes," was not specific enough and always resulted in canned dad jokes pulled directly from training data, so we asked, "Compose 5 original dad jokes that are not found anywhere in the world." Claude made some attempts at crafting original jokes, although we'll let you judge whether they are funny or not. We will likely put 3.7 Sonnet's SR capabilities to the test more exhaustively in a future article. Anthropic's first agent: Claude Code So far, 2025 has been the year of both SR models (like R1 and o3) and agentic AI tools (like OpenAI's Operator and Deep Research). Not to be left out, Anthropic has announced its first agentic tool, Claude Code. Claude Code operates directly from a console terminal and is an autonomous coding assistant. It allows Claude to search through codebases, read and edit files, write and run tests, commit and push code to GitHub repositories, and execute command line tools while keeping developers informed throughout the process. Anthropic also aims for Claude Code to be used as an assistant for debugging and refactoring tasks. The company claims that during internal testing, Claude Code completed tasks in a single session that would typically require 45-plus minutes of manual work. Claude Code is currently available only as a "limited research preview," with Anthropic stating it plans to improve the tool based on user feedback over time. Meanwhile, Claude 3.7 Sonnet is now available through the Claude website, the Claude app, Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI.

Anthropic just launched Claude 3.7 Sonnet with new 'hybrid reasoning model' -- and it could be a game changer

The fast-moving artificial intelligence race just took another interesting turn as Anthropic -- the creators of the impressive Claude -- just announced a brand new version. Claude 3.7 Sonnet purports not only to be the "most intelligent" edition to date, but also the industry's first "hybrid reasoning model". That sounds complex, but for customers, it's actually really simple. It means that users looking for answers from Claude can select which "thinking mode" to use via a drop-down menu, depending on the complexity of their query. Normal mode is "best for most use cases" -- think quick fact-based queries -- while the Extended option is listed as being "best for math and coding challenges", but will likely give a more satisfying answer to anything that requires greater reasoning. "In the standard mode, Claude 3.7 Sonnet represents an upgraded version of Claude 3.5 Sonnet," Anthropic explains in a blog post accompanying the release. "In extended thinking mode, it self-reflects before answering, which improves its performance on math, physics, instruction-following, coding, and many other tasks." This will take longer to provide an answer, of course, but we're still talking time measured in minutes and seconds rather than hours. You can see how this works in practice in the video below, where a user asks for an explanation of the Monty Hall problem. A quick response appears immediately, but the user then selects the extended model for the same query which not only presents a much longer answer using step-by-step thinking, but catches a mistake in its reasoning following an analysis using probability frameworks, prompting a reconsideration. The whole thing takes 52 seconds, which is obviously longer than the quick response, but ultimately a lot more useful. The user then requests that Claude make an interactive simulator to understand the Monty Hall problem and the AI duly provides. "We've developed Claude 3.7 Sonnet with a different philosophy from other reasoning models on the market," Anthropic writes. "Just as humans use a single brain for both quick responses and deep reflection, we believe reasoning should be an integrated capability of frontier models rather than a separate model entirely. This unified approach also creates a more seamless experience for users." That's in stark contrast to Open AI, which has a whole bunch of models for different needs: GPT-4, o1, o1-mini and o3-mini. While this approach offers users flexibility, it can also be confusing, and it seems the company would prefer something more streamlined. "We hate the model picker as much as you do and want to return to magic unified intelligence," CEO Sam Altman wrote on X earlier this month. With the new version, you might also notice a difference in how Claude reasons. "We've optimized somewhat less for math and computer science competition problems, and instead shifted focus towards real-world tasks that better reflect how businesses actually use LLMs [Large Language Models]," the company writes. Claude 3.7 Sonnet users should see "particularly strong improvements in coding and front-end web development." The new version is available now, usable across all plans including the free tier. For paid users, it costs the same as the previous version: $3 per million input tokens, and $15 per million output tokens. To prevent going over budget on complex requests, API users can cap the thinking involved, by telling it not to spend more than a certain amount of tokens.

Anthropic Cracks the Code with Claude 3.7 Sonnet

For weeks, it has been a running joke that Anthropic is stuck in a cycle of releasing blogs and research reports while its competitors sprint ahead with innovative AI models. Now, the company has finally released a new version of Claude - the 3.7 Sonnet. Despite the questionable nomenclature, the jump from 3.5 to 3.7 and the decision to skip 4.0, users embraced its coding capabilities in no time. People were actively engaged in building fun games, animations, user interfaces, and other such projects. One user on X effectively summed up the overall sentiment. Mckay Wrigley, founder of the AI-based upskilling platform Takeoff AI, said on X, "Claude 3.7 Sonnet is the best model in the world for code." Even on benchmarks, the model tops the list. It scored 62.3% accuracy on the SWE-bench while OpenAI's o3-mini (high) scored a 49.3%. Artificial Analysis, a platform that independently analyses AI models, called it the best non-reasoning model for coding. Besides benchmarks and first impressions, users were quick to build several projects. Deedy Das, principal at Menlo Ventures, built an app for the popular board game Connect 4 using Claude 3.7 Sonnet and said that the model could write around 5,000 lines of code in just 30 minutes. "It is the closest thing to AGI (Artificial General Intelligence) I've seen," he said. Notably, Menlo Ventures is an investor in Anthropic. In another instance, Ethan Mollick, a professor at The Wharton School, threw a challenge at the model, asking it to create a sketch of a control panel of a 'futuristic spaceship' using p5.js, a JavaScript library for creative coding. He declared that Claude 3.7 Sonnet was the winner. "Honestly, the gap here is pretty insane, even compared to the o1 models and Grok 3. The dashboard was fully interactive as well; no other model came close," he said. In another instance, Derek Nee, an AI engineer and CEO at flowith, compared Claude 3.7 Sonnet with models like OpenAI's o1, DeepSeek-R1, and Claude 3.5 Sonnet in a task to write a Scalable Vector Graphics (SVG) code for a book cover of a science fiction book. In his evaluation, the 3.7 Sonnet created the most visually pleasing image. Nee said that it crushes other models. AIM also tested the model by redesigning the Hacker News homepage using Apple's Human Interface guidelines. In just two iterations, we were able to build an interactive website with front-end libraries. Anthropic has earned a reputation for excelling in code-based tasks. This isn't just a claim from the company or its fans. Recently, even its competitor, OpenAI, publicly acknowledged that it lags behind Anthropic in this area. OpenAI introduced a benchmark called SWELancer to test whether AI models can successfully complete real-world software engineering tasks on Upwork. The benchmark comprised over 1,400 tasks across various aspects of software development. The results revealed that Claude 3.5 Sonnet performed better than GPT-4o and the o1 reasoning model in several tasks. That said, the Sonnet 3.7 model isn't free from criticism. It is still very expensive to use, exponentially more than OpenAI's o3 Mini. The Claude 3.7 Sonnet costs $3 per million input tokens and a whopping $15 per million output tokens. OpenAI's o3 Mini, which is comparable to Claude 3.7 Sonnet on benchmarks, costs $1.1 per million input tokens and $4.40 per million output tokens. Jeremy Chone, a YouTuber who teaches programming, said on X that Sonnet 3.7 "struggles with instructions". He added that it tends to deviate from recommended coding practices, as it creates separate coding files in Rust. Sonnet 3.7 excels at coding but doesn't rank well as a general-purpose model overall. Furthermore, users already have access to AI tools dedicated to coding, like Cursor and Windsurf, so it raises the question of what Claude seems to achieve here. However, AI models like Claude are still the foundational layer for these coding tools, and nearly every popular platform has already integrated the 3.7 Sonnet. The model is now available on Replit Agent, GitHub Copilot, Cursor, Windsurf, and many other platforms. Cursor, while announcing the new model's availability on its platform, said, "We've been very impressed by its coding ability, especially on real-world agentic tasks. It appears to be the new state of the art." However, these tools face an incoming threat from Anthropic. Along with the 3.7 Sonnet, the company also launched an 'agentic' coding tool called Claude Code. This tool functions as an active collaborator that can read code, edit files, commit, and push code to GitHub. The tool is currently available under research preview. "In early testing, Claude Code completed tasks in a single pass that would normally take over 45 minutes of manual work, reducing development time and overhead," the company said. It will be interesting to see how a coding agent built on a foundational model takes on successful wrappers like Cursor, Windsurf, or even Devin.

Anthropic's new Claude model offers both real-time and long-pondered responses

OpenAI's o3 and DeepSeek's R1 models have some new competition. Anthropic announced Monday the release of its new "hybrid reasoning" model, Claude 3.7 Sonnet. Existing reasoning models like o3, R1, and Google's Gemini 2.0 Flash Thinking are designed to break down complex problems into smaller tasks, then deduce and verify their answers before responding, a process that returns more accurate answers at the cost of higher compute usage and longer inference times. Claude 3.7 Sonnet, on the other hand is capable of providing either "near-instant responses or extended, step-by-step thinking that is made visible to the user," according to the company's announcement post. Recommended Videos Claude 3.7's dual nature is part of an effort by the company to simplify the user experience and eliminate the massive model picker menus found on other chatbot platforms. OpenAI announced a similar plan with its upcoming GPT-4.5 and GPT-5 models. "Just as humans use a single brain for both quick responses and deep reflection, we believe reasoning should be an integrated capability of frontier models rather than a separate model entirely," the company wrote. "This unified approach also creates a more seamless experience for users." Claude 3.7 Sonnet is rolling out to all Claude users, however, the model's extended thinking ability will only be accessible with a paid subscription. Anthropic is quick to point out that even with its standard thinking process, Claude 3.7 outperforms the model's predecessor, Claude 3.5. The new Sonnet's extended thinking process has been shown to improve the model's response quality across a variety of math, physics, instruction-following, and coding tasks. "Claude is once again best-in-class for real-world coding tasks, with significant improvements in areas ranging from handling complex codebases to advanced tool use," the company boasted. Introducing Claude Code Anthropic also teased its agentic AI, dubbed Claude Code, in Monday's announcement. "Claude Code is an active collaborator that can search and read code, edit files, write and run tests, commit and push code to GitHub, and use command line tools," the company wrote. Anthropic is releasing Claude Code as a limited research preview and plans to further improve its performance in the coming weeks based on feedback from developers and other early adopters. The agentic AI builds off of the success of Anthropic's earlier pseudo-agent, Claude Computer Use, which enabled the AI to manipulate its local computing system by mimicking the keyboard and mouse movements of a human user.

Anthropic's new Claude model can think both fast and slow

Another week, and there's another new AI model ready for public use. This time, it's Anthropic with the introduction of Claude 3.7 Sonnet. The company describes its latest release as the market's first "hybrid reasoning model," meaning the new version of Claude can both answer a question nearly instantaneously or take its time to work through it step by step. As the user you can decide what approach Claude takes, with a dropdown menu allowing you to select the "thinking mode" you want it to take. "We've developed Claude 3.7 Sonnet with a different philosophy from other reasoning models on the market. Just as humans use a single brain for both quick responses and deep reflection, we believe reasoning should be an integrated capability of frontier models rather than a separate model entirely," writes Anthropic. "This unified approach also creates a more seamless experience for users." Anthropic doesn't name OpenAI explicitly, but the company is clearly taking a shot at its rival. Between GPT-4, o1, o1-mini and now o3-mini, OpenAI offers many different models, but unless you follow the company closely, the number of systems on offer can be overwhelming; in fact, Sam Altman recently admitted as much. "We hate the model picker as much as you do and want to return to magic unified intelligence," he posted on X earlier this month. Anthropic says it also took a different approach to developing Claude's reasoning capabilities. "We've optimized somewhat less for math and computer science competition problems, and instead shifted focus towards real-world tasks that better reflect how businesses actually use LLMs," the company writes. To that point, current Claude users can look forward to "particularly strong improvements in coding and front-end web development." Claude 3.7 Sonnet is available to use starting today across all Claude plans, including Anthropic's free tier. Developers, meanwhile, can access the new model through the company's API, Amazon Bedrock and Google Cloud's Vertex AI. Speaking of developers, Anthropic is also introducing Claude Code, a new "agentic" tool that allows you to delegate coding tasks to Claude directly from a terminal interface. Available currently as a limited research preview, Anthropic says Claude Code can read code, edit files, write and run tests, and even push commits to GitHub.

Claude 3.7 Sonnet: Anthropic's new AI model explained

It isn't every day you see a language model that juggles both lightning-fast responses and serious, step-by-step reasoning. Yet Claude 3.7 Sonnet does exactly that, exhibiting a so-called "hybrid reasoning" approach that merges speed for simple tasks with an extended, introspective mode for tricky ones. Yes, we've seen chatbots firing lightning quick responses, and we've seen more thorough AIs that break down complex math or coding step by step. But Claude 3.7 Sonnet claims to unify these modes seamlessly, aiming to mimic the way a human might dash off a quick text or sink into more methodical problem-solving. Also read: Anthropic Economic Index: How is AI impacting jobs and what it means for us Let's see what's new in Claude 3.7, how it stacks up to older Anthropic models like Claude 3.5, and where it stands next to the big competitor on the block - OpenAI. Let's see if this "best of both worlds" approach truly hits the sweet spot for everyday tasks as well as the heavy-lifting AI jobs. As soon as Anthropic announced its launch, Claude 3.7 Sonnet's major talking point is that it could deliver one-line answers to everyday questions (like "What's a knock knock joke?" or "Remind me of my upcoming meetings") while switching to a longer, more methodical process for deeper tasks (like "Plan a week-long trip, factoring in flights, hotels, weather, and local events"). So if you're a student working through advanced calculus or a company analyzing million-row spreadsheets, Anthropic's Claude 3.7 can slide into "extended thinking" mode - organizing its logic step by step - whenever the occasion calls for it. One of the best ways to think about it is as your phone's assistant. You ask for a restaurant recommendation nearby, it instantly rattles off suggestions based on your location. But if you want a structured breakdown of each restaurant's pros and cons for celebrating different occasion types, Claude 3.7 "thinks deeper." It's nothing but a chain-of-thought approach that breaks complicated questions down into smaller queries, hunting for their respective answers, and compiling them systematically into a structured response. This will reduce the amount of prompting needed on Claude 3.7 at the user level, one which inadvertently broke down complicated tasks into a series of prompts. Also read: DeepSeek AI: How this free LLM is shaking up AI industry Another interesting perk of Anthropic Claude 3.7 chatbot is that you can set how much "brainpower" it invests into responses. That's right, developers can specify a maximum number of tokens for extended reasoning - up to 128K if you want to get crazy detailed. If you're building an AI to handle small talk, you can keep the "thinking" token limit low. But if it's a major financial projection, dial it up so the model can weigh multiple data points without cutting off mid-analysis. Claude 3.5 was already good - Anthropic had showcased impressive coding and general Q&A chops. But Claude 3.7 elevates things in two main areas, especially - extended reasoning and coding prowess. According to Anthropic, math, physics, and complex coding problems now see a multi-step, structured approach built in. That means less need for follow-up queries or clarifications. If you're a developer dealing with big codebases or cross-platform integrations, Claude 3.7 claims stronger debugging and comprehension, saving you lots of frustration. Plus it references a new tool called Claude Code, which is a command-line companion that can search your codebase, run tests, and commit changes to GitHub. The star of Anthropic's coding show is without a doubt Claude Code, an AI agent companion tool specifically aimed for development tasks. It's not just a "helpful snippet generator" - it can read, edit, compile, run tests, and even push commits. Also read: OpenAI Operator AI agent beats Claude's Computer Use, but it's not perfect For instance, if you're doing test-driven development, Claude Code can plan the test structure, fill in placeholders, and walk through each stage. Think of it as a coding co-pilot that physically interacts with your repository, bridging AI suggestions with the real dev environment. So if you're grappling with a half-broken JavaScript front-end and a legacy Python back-end, you can offload a chunk of that mental overhead to Claude Code - saving time and hopefully sanity. OpenAI's GPT-4 excels in generative tasks, logical reasoning, and general versatility. However, GPT-4 typically operates in a single conversation mode, requiring more user prompts to switch between quick-fire answers and deep reasoning. Claude 3.7, by contrast, merges both mindsets seamlessly. You ask a shallow or simple question, it responds quickly. But if you ask for in-depth analysis, it flips into extended reflection, all in the same conversation flow. The big difference here is that Claude 3.7 offers fine-grained control over the "thinking budget." Yes, OpenAI has system messages and temperature settings, but the precise ability to set how many tokens go into deeper reasoning is unique here. That might be critical for enterprise devs who want to run, say, tens of thousands of queries a day without overloading GPU usage or racking up token charges. Anthropic emphasizes that on coding tasks like "full-stack refactoring" or "bug-hunting in large codebases" in particular, Claude 3.7 outperforms GPT-4 in certain real-world metrics. Whether that's strictly accurate may come down to the nature of your projects or how you prime the models. Still, early testers often mention that Claude 3.7's code suggestions feel more integrated, less random. While both models have advanced safety layers, Anthropic claims Claude 3.7 is more adept at understanding the nuance of queries. Where GPT-4 might occasionally block or produce an error over ambiguous requests, Claude tries to find "safe ways" to comply. That said, if your environment calls for ultra-strict filtering, you can still tighten the settings in Claude's API. Claude 3.7 Sonnet isn't just another incremental model release, but Anthropic's bid to reshape how we interact with AI - from the simplest question to the most layered coding challenge. Backed by the new Claude Code tool, it promises to be more than a conversational chatbot, serving as a genuine collaborator or agentic AI companion. For individuals wanting clarity on complicated topics, or developers fed up with piecemeal code suggestions, Claude 3.7's extended "thinking mode" could be a game-changer. And at its core, Claude 3.7 Sonnet underscores a growing trend: AI models are learning to adapt in real time to our demands, delivering quick hits for the routine stuff and a heavier mental workout for the rest. If that approach sticks, we could soon see an entire wave of next-gen AI that seamlessly toggles between "quick answer" and "deep reflection" - a shift that stands to benefit everyone from coders to knowledge workers, to the curious individual wanting a clearer path through a complex question.

Anthropic's Claude 3.7 Sonnet is here and results are insane

Anthropic has started rolling out Claude 3.7 Sonnet, the company's most advanced model and the first hybrid reasoning model it has shipped. Early tests show that Claude 3.7 Sonnet is outperforming rivals, including OpenAI's ChatGPT models and China's DeepSeek. In a blog post, Anthropic noted that its newest model combines fast, straightforward answers with the ability to "think" step-by-step for complex tasks. This makes the Claude 3.7 model the best for programming, and these claims are backed by benchmarks. According to a benchmark test called "Software engineering (SWE-bench verified)," Claude 3.7 Sonnet is at the top with roughly 62% accuracy, which goes up to 70% when using extra test-time "scaffolding." Competing models, including Claude 3.5 Sonnet and OpenAI's variants, sit closer to the 50% range. "Software engineering (SWE-bench verified)" is a benchmarking standard to see how well an AI model does when asked to code a program. These results show that Claude 3.7 Sonnet is significantly ahead of its competitors in terms of coding. Users are also claiming that the results are insane. For example, in a thread, Reddit users noted that the model delivered outstanding results when they used it to create apps or even games. "Claude Code was my 'Feel the AGI moment.' I've thrown bugs at this thing that no other models could fix, but Claude Code blasted through them," one user wrote in a Reddit thread. Another user added: "3.7 just slapped out an entire project I had been working on for months -- 5000 lines of code, front-end, debugging example, all from scratch. It didn't stop until the job was done." Additionally, Claude 3.7 Sonnet appears to excel in most categories, with its "extended thinking" mode boosting accuracy on tasks like math and science. Other models, such as OpenAI's 0.1 and DeepSeek R1, trail behind on many of these tests.

Anthropic Launches Claude 3.7 Sonnet, Its Most-Advanced Model Ever

Anthropic has released Claude 3.7 Sonnet, its latest and most advanced AI model yet. The company, founded by a group of ex-OpenAI leaders, describes the new model as a "hybrid," capable of producing near-instant responses and engaging in "extended thinking," a process that enables higher-quality answers and task completion. Anthropic also announced a new Claude-based programming tool called Claude Code. When Anthropic's previous flagship model, Claude 3.5 Sonnet, was released in June 2024, it was praised for its high level of coding expertise, and has been used to power several applications designed for people without a coding background to create software, such as Replit. The new model, Claude 3.7 Sonnet, takes things even further by integrating reasoning capabilities. That means the model can "think through" how to best solve a problem or address a query using a process similar to human chain-of-thought, rather than immediately sharing a comparatively rote response. Up until now, reasoning models like OpenAI's o1 and large language models like OpenAI's GPT-4o have been offered as separate products, but Claude 3.7 Sonnet gives developers access to both in one package. "Just as humans use a single brain for both quick responses and deep reflection," the company wrote in a blog post, "we believe reasoning should be an integrated capability of frontier models rather than a separate model entirely." Anthropic isn't the only AI business moving to simplify its offerings by integrating several capabilities in a single model. Earlier this month, OpenAI co-founder and CEO Sam Altman said on X that his company would release the much-anticipated GPT-5 later this year, and revealed that it would unify the company's GPT-series and o-series models into a single system.

Anthropic's Claude 3.7 Reasoning Model Hits on All the Latest AI Chatbot Trends

Claude 3.7 Sonnet can manage two types of information processing at once, which is why Anthropic is calling it the "first hybrid reasoning model." It can either produce "near-instant responses" or engage in a drawn out, step-by-step train of thought that's visible to the user. Claude 3.7 Sonnet is now available on all plans -- including Free, Pro, Team, and Enterprise -- as well as the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. But the extended thinking mode is not available on the free tier. AI models that walk users through how they arrive at their answers is a big trend in chatbot land, and considered a key technological advancement. OpenAI released its version, GPT-o1, in September 2024. DeepSeek also has a "DeepThink" mode, as does Elon Musk's Grok 3 chatbot, which is how a user caught it censoring negative information about Musk and Trump. Claude 3.7 Sonnet differentiates itself from DeepSeek and OpenAI by combining the two thinking types in one: "Just as humans use a single brain for both quick responses and deep reflection, we believe reasoning should be an integrated capability of frontier models rather than a separate model entirely," Anthropic says. Users can pick if they want the model to answer quickly, or to think longer before answering. In extended thinking mode, the model "self-reflects before answering, which improves its performance on math, physics, instruction-following, coding, and many other tasks," Anthropic says. This type of unified model experience, where users don't need to manually select different models for different tasks, is another AI chatbot trend. Earlier this month, OpenAI CEO Sam Altman said the company will eventually remove ChatGPT's "model picker." "We want AI to 'just work' for you; we realize how complicated our model and product offerings have gotten," Altman says. "We hate the model picker as much as you do and want to return to magic unified intelligence." Developers who access Claude 3.7 Sonnet through Anthropic's API can also set a "budget" for how much computational effort the model uses to answer. "This allows you to trade off speed (and cost) for quality of answer," Anthropic says. The company made a point to say that Claude 3.7 Sonnet "has the same price as its predecessors," likely in an attempt to compete with DeepSeek, which grabbed headlines for offering high intelligence without an increase in computing cost. Finally, Claude's latest release hits on perhaps the biggest trend in AI right now -- agentic, or autonomous, functionality -- with Claude Code. It's only available in a limited research preview for now, but promises to revolutionize coding by doing part of a developers' job for them. Claude is known for its strong coding chops, and with Claude Code developers can "delegate substantial engineering tasks to Claude directly from their terminal." It acts as "an active collaborator that can search and read code, edit files, write and run tests, commit and push code to GitHub, and use command line tools -- keeping you in the loop at every step." Anthropic says these types of agentic capabilities are a step above the tech it debuted in 2024, and on the road to a world where Claude can "find breakthrough solutions" on its own in 2027.

Anthropic's Claude 3.7 Sonnet takes aim at OpenAI and DeepSeek in AI's next big battle

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Anthropic just fired a warning shot at OpenAI, DeepSeek, and the entire AI industry with the launch of Claude 3.7 Sonnet, a model that gives users unprecedented control over how much time an AI spends "thinking" before generating a response. The release, alongside the debut of Claude Code, a command-line AI coding agent, signals Anthropic's aggressive push into the enterprise AI market -- one that could reshape how businesses build software and automate work. The stakes couldn't be higher. Last month, DeepSeek stunned the tech world with an AI model that matched U.S. systems at a fraction of the cost, sending Nvidia's stock down 17% and raising alarms about America's AI leadership. Now Anthropic is betting that precise control over AI reasoning -- not just raw speed or cost savings -- will give it an edge. "We just believe that reasoning is a core part and core component of an AI, rather than a separate thing that you have to pay separately to access," said Dianne Penn, who leads product management for research at Anthropic, in an interview with VentureBeat. "Just like humans, the AI should handle both quick responses and complex thinking. For a simple question like 'what time is it?', it should answer instantly. But for complex tasks -- like planning a two-week Italy trip while accommodating gluten-free dietary needs -- it needs more extensive processing time." "We don't see reasoning, planning and self-correction as separate capabilities," she added. "So this is essentially our way of expressing that philosophical difference... Ideally, the model itself should recognize when a problem requires more intensive thinking and adjust, rather than requiring users to explicitly select different reasoning modes." The benchmark data backs up Anthropic's ambitious vision. In extended thinking mode, Claude 3.7 Sonnet achieves 78.2% accuracy on graduate-level reasoning tasks, challenging OpenAI's latest models and outperforming DeepSeek R1. But the more revealing metrics come from real-world applications: the model scores 81.2% on retail-focused tool use and shows marked improvements in instruction-following (93.2%) -- areas where competitors have either struggled or haven't published results. While DeepSeek and OpenAI lead in traditional math benchmarks, Claude 3.7's unified approach demonstrates that a single model can effectively switch between quick responses and deep analysis, potentially eliminating the need for businesses to maintain separate AI systems for different types of tasks. How Anthropic's hybrid AI could reshape enterprise computing The timing of the release is crucial. DeepSeek's emergence last month sent shockwaves through Silicon Valley, demonstrating that sophisticated AI reasoning could be achieved with far less computing power than previously thought. This challenged fundamental assumptions about AI development costs and infrastructure requirements. When DeepSeek published its results, Nvidia's stock dropped 17% in a single day -- investors suddenly questioning whether expensive chips were truly essential for advanced AI. For businesses, the stakes couldn't be higher. Companies are spending millions integrating AI into their operations, betting on which approach will dominate. Anthropic's hybrid model offers a compelling middle path: the ability to fine-tune AI performance based on the task at hand, from instant customer service responses to complex financial analysis. The system maintains Anthropic's previous pricing of $3 per million input tokens and $15 per million output tokens, even with added reasoning features. "Our customers are trying to achieve outcomes for their customers," explained Michael Gerstenhaber, Anthropic's head of platform. "Using the same model and prompting the same model in different ways allows somebody like Thompson Reuters to do legal research, allows our coding partners like Cursor or GitHub to be able to develop applications and meet those goals." Anthropic's hybrid approach represents both a technical evolution and a strategic gambit. While OpenAI maintains separate models for different capabilities and DeepSeek focuses on cost efficiency, Anthropic is pursuing unified systems that can handle both routine tasks and complex reasoning. It's a philosophy that could reshape how businesses deploy AI, eliminating the need to juggle multiple specialized models. Meet Claude Code: AI's new developer assistant Anthropic today also unveiled Claude Code, a command-line tool that allows developers to delegate complex engineering tasks directly to AI. The system requires human approval before committing code changes, reflecting growing industry focus on responsible AI development. "You actually still have to accept the changes Claude makes. You are a reviewer with hands on wheel," Penn noted. "There is essentially a sort of checklist that you have to essentially accept for the model to take certain actions." The announcements come amid intense competition in AI development. Stanford researchers recently created an open-source reasoning model for under $50, while Microsoft just integrated OpenAI's o3-mini model into Azure. DeepSeek's success has also spurred new approaches to AI development, with some companies exploring model distillation techniques that could further reduce costs. From Pokémon to enterprise: Testing AI's new intelligence Penn illustrated the dramatic progress in AI capabilities with an unexpected example: "We've been asking different versions of Claude to play Pokémon... This version has made it all the way to Vermilion City, captured multiple Pokémon, and even grinds to level up. It has the right Pokémon to battle against rivals." "I think you'll see us continue to innovate and push on the quality of reasoning, push towards things like dynamic reasoning," Penn explained. "We have always thought of it as a core part of the intelligence, rather than something separate." The real test of Anthropic's approach will come from enterprise adoption. While playing Pokémon might seem trivial, it demonstrates the kind of adaptive intelligence businesses need: AI that can handle both routine operations and complex strategic decisions without switching between specialized models. Earlier versions of Claude couldn't navigate beyond a game's starting town. The latest version builds strategies, manages resources, and makes tactical decisions -- capabilities that mirror the complexity of real-world business challenges. For enterprise customers, this could mean the difference between maintaining multiple AI systems for different tasks and deploying a single, more capable solution. The next few months will reveal whether Anthropic's bet on unified AI reasoning will reshape the enterprise market or become another experiment in the industry's rapid evolution.

Anthropic's Claude 3.7 Sonnet reasoning model can think for as long as you want - SiliconANGLE

Anthropic's Claude 3.7 Sonnet reasoning model can think for as long as you want Artificial intelligence model maker Anthropic PBC has thrown down the gauntlet to OpenAI, DeepSeek Ltd. and others in the industry with the launch of a new frontier model called Claude 3.7 Sonnet. Unlike its previous models, Claude 3.7 Sonnet is able to "think" about questions for as long as the users ask it too, so depending on how long it considers things, its responses could be vastly different. The startup says Claude 3.7 Sonnet is the first "hybrid AI reasoning model" because it's capable of answering either in real-time, or generating better thought-out responses if desired. Users can choose when to activate its reasoning capabilities, and then specify how long they want it to consider the question. Claude 3.7 Sonnet is being made available today to everyone, including free users, but only those who pay for a premium subscription will get access to its advanced reasoning features. Free users will only get the real-time version, though the company says it's still an improvement on its predecessor, Claude 3.5 Sonnet. The company said Claude 3.7 Sonnet will cost $3 per one million input tokens, which means you could enter around 750,000 words (more than the entire Lord of the Rings trilogy) for just $3. It also charges $15 per one million output tokens. As such, Claude 3.7 Sonnet is more expensive than OpenAI's o3-mini reasoning model and DeepSeek's R1, which cost approximately three- and six-times less. That said, Anthropic's models have always been more costly, with users paying exactly the same rates to access Claude 3.5 Sonnet. So they're getting the new reasoning features without paying anything extra. Claude 3.7 Sonnet represents the company's first-ever stab at a reasoning model, which uses more computing power and takes more time to generate responses than traditional models. They work by breaking down the user's question or problem into a series of small steps, considering each of them individually before compiling their response, and the technique often results in a better answer. For now, users have to choose how long Claude 3.7 Sonnet will think about a question themselves. But in a forthcoming update, the company says the model will be able to determine the most suitable timeframe for thinking by itself, striking an optimal balance between cost and answer quality. Anthropic's product and research chief Dianne Penn told VentureBeat in an interview that the aim is to get the model to know when an instant answer is needed, and when a more considered response is appropriate. "The model itself should recognize when a problem requires more intensive thinking and adjust, rather than requiring users to explicitly select different reasoning modes," she said. Another cool feature of Claude 3.7 Sonnet is that it will show its internal thinking processes through a "visible scratch pad". Users will be able to see the entire chain of thought for most prompts, though in some cases it may redact certain elements for trust and safety considerations, Penn said. As for its performance, Claude 3.7 Sonnet stands up well against its competitors, scoring 62.3% on the real-world coding benchmark SWE-Bench, compared to 49.3% for OpenAI's o3-mini and 49.2% for DeepSeek R1. On another test designed to measure its ability to interact with simulated users and external application programming interfaces, called TAU-Bench, Claude 3.7 Sonnet scored 81.2%, surpassing OpenAI's o1 model's score of 73.5%. The startup adds that Claude 3.7 Sonnet will also answer more questions, meaning there will be fewer instances where it declines to respond. That's because it's better able to make a distinction between benign and harmful prompts, Anthropic said. In addition to the reasoning model, Anthropic debuted a new model called Claude Code, which is available as a research preview now and is more specifically focused on coding tasks. In a demonstration, the company showed how Claude Code is able to analyze a development project via a single prompt, such as "explain this project structure". It also enables developers to modify a codebase, simply by entering a plain English prompt that explains how they want it to alter the code. After making its changes, it will describe the edits it has made, and then test it for errors or push the update to a GitHub repository. The company said Claude Code is available for testing for a limited number of users, and is offering access on a first come, first served basis, so developers who want to check it out should not delay. The new models announced today represent an impressive breakthrough for Anthropic, and there could soon be many more developments on the way, for the company is said to be in advanced talks over a $3.5 billion funding round, according to a separate report today from the Wall Street Journal. That amount is significantly higher than the initial $2 billion it had first set out to raise, and would increase the startup's valuation to around $61.5 billion, the Journal said, citing two anonymous sources familiar with the talks. It's said that Lightspeed Venture Partners will lead the round, with General Catalyst and various others also participating.

Claude: Everything you need to know about Anthropic's AI | TechCrunch

Anthropic, one of the world's largest AI vendors, has a powerful family of generative AI models called Claude. These models can perform a range of tasks, from captioning images and writing emails to solving math and coding challenges. With Anthropic's model ecosystem growing so quickly, it can be tough to keep track of which Claude models do what. To help, we've put together a guide to Claude, which we'll keep updated as new models and upgrades arrive. Claude models are named after literary works of art: Haiku, Sonnet, and Opus. The latest are: Counterintuitively, Claude 3 Opus -- the largest and most expensive model Anthropic offers -- is the least capable Claude model at the moment. However, that's sure to change when Anthropic releases an updated version of Opus. Most recently, Anthropic released Claude 3.7 Sonnet, its most advanced model to date. This AI model is different from Claude 3.5 Haiku and Claude 3 Opus because it's a hybrid AI reasoning model, which can give both real-time answers and more considered, "thought-out" answers to questions. When using Claude 3.7 Sonnet, users can choose whether to turn on the AI model's reasoning abilities, which prompt the model to "think" for a short or long period of time. When reasoning is turned on, Claude 3.7 Sonnet will spend anywhere from a few seconds to a couple minutes in a "thinking" phase before answering. During this phase, the AI model is breaking down the user's prompt into smaller parts and checking its answers. Claude 3.7 Sonnet is Anthropic's first AI model that can "reason," a technique many AI labs have turned to as traditional methods of improving AI performance taper off. Even with its reasoning disabled, Claude 3.7 Sonnet remains one of the tech industry's top-performing AI models. In November, Anthropic released Claude 3.5 Haiku, an updated version of the company's lightweight AI model. This model outperforms Anthropic's Claude 3 Opus on several benchmarks, but it can't analyze images like Claude 3 Opus or Claude 3.7 Sonnet can. All Claude models -- which have a standard 200,000-token context window -- can also follow multistep instructions, use tools (e.g., stock ticker trackers), and produce structured output in formats like JSON. A context window is the amount of data a model like Claude can analyze before generating new data, while tokens are subdivided bits of raw data (like the syllables "fan," "tas," and "tic" in the word "fantastic"). Two hundred thousand tokens is equivalent to about 150,000 words, or a 600-page novel. Unlike many major generative AI models, Anthropic's can't access the internet, meaning they're not particularly great at answering current events questions. They also can't generate images -- only simple line diagrams. As for the major differences between Claude models, Claude 3.7 Sonnet is faster than Claude 3 Opus and better understands nuanced and complex instructions. Haiku struggles with sophisticated prompts, but it's the swiftest of the three models. Anthropic offers prompt caching and batching to yield additional runtime savings. Prompt caching lets developers store specific "prompt contexts" that can be reused across API calls to a model, while batching processes asynchronous groups of low-priority (and subsequently cheaper) model inference requests. For individual users and companies looking to simply interact with the Claude models via apps for the web, Android, and iOS, Anthropic offers a free Claude plan with rate limits and other usage restrictions. Upgrading to one of the company's subscriptions removes those limits and unlocks new functionality. The current plans are: Claude Pro, which costs $20 per month, comes with 5x higher rate limits, priority access, and previews of upcoming features. Being business-focused, Team -- which costs $30 per user per month -- adds a dashboard to control billing and user management and integrations with data repos such as codebases and customer relationship management platforms (e.g., Salesforce). A toggle enables or disables citations to verify AI-generated claims. (Like all models, Claude hallucinates from time to time.) Both Pro and Team subscribers get Projects, a feature that grounds Claude's outputs in knowledge bases, which can be style guides, interview transcripts, and so on. These customers, along with free-tier users, can also tap into Artifacts, a workspace where users can edit and add to content like code, apps, website designs, and other docs generated by Claude. For customers who need even more, there's Claude Enterprise, which allows companies to upload proprietary data into Claude so that Claude can analyze the info and answer questions about it. Claude Enterprise also comes with a larger context window (500,000 tokens), GitHub integration for engineering teams to sync their GitHub repositories with Claude, and Projects and Artifacts. As is the case with all generative AI models, there are risks associated with using Claude. The models occasionally make mistakes when summarizing or answering questions because of their tendency to hallucinate. They're also trained on public web data, some of which may be copyrighted or under a restrictive license. Anthropic and many other AI vendors argue that the fair-use doctrine shields them from copyright claims. But that hasn't stopped data owners from filing lawsuits. Anthropic offers policies to protect certain customers from courtroom battles arising from fair-use challenges. However, they don't resolve the ethical quandary of using models trained on data without permission.

Anthropic Launches AI Hybrid Reasoning Model and New Coding Assistant

Claude Code, a new AI-powered coding assistant, helps developers automate tasks and boost productivity. AI startup Anthropic announced on Monday the launch of the first hybrid reasoning model, Claude 3.7 Sonnet, alongside Claude Code, a new command-line tool designed to enhance AI-assisted coding. The new AI model can produce near-instant responses or extended, step-by-step thinking that is visible to the user. "Claude 3.7 Sonnet shows particularly strong improvements in coding and front-end web development," the company said in a blog post on Monday. Also Read: Anthropic Partners With UK Government to Explore How AI Can Enhance Public Services The Amazon and Google-backed startup said the Claude 3.7 Sonnet model is its most advanced and will be available on all Claude plans, including Free, Pro, Team, and Enterprise. It is also available through the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. One of the key advancements in this release is the ability for API users to control the "thinking budget", setting a limit on the number of tokens the model can use for reasoning. "This allows you to trade off speed (and cost) for quality of answer," Anthropic said. "With the new Claude 3.7 Sonnet, users can toggle 'extended thinking mode' on or off, directing the model to think more deeply about trickier questions," the company said in a separate blog post highlighting Claude's extended thinking capability. In both standard and extended thinking modes, Claude 3.7 Sonnet maintains the same pricing as its predecessor at USD 3 per million input tokens and USD 15 per million output tokens, including thinking tokens. Furthermore, the company said the Claude 3.7 Sonnet model outperformed competitors in real-world coding tasks, with companies such as Cursor, Cognition, Vercel, Replit, and Canva reporting its ability to generate production-ready code with minimal errors. Also Read: Anthropic Unveils New AI Model with Computer Use Capability In addition to the model upgrade, Anthropic introduced Claude Code, a new AI-driven coding assistant available as a limited research preview. This tool enables developers to search and read code, edit files, write and run tests, commit and push code to GitHub, and execute command-line operations. Early testing suggests that Claude Code can complete tasks that would typically take developers over 45 minutes of manual work, reducing development time and overhead. "In the coming weeks, we plan to continually improve it based on our usage: enhancing tool call reliability, adding support for long-running commands, improved in-app rendering, and expanding Claude's own understanding of its capabilities," the AI startup said. The release also includes notable improvements in safety and instruction-following. Claude 3.7 Sonnet reduces unnecessary refusals by 45 percent compared to its predecessor while demonstrating better discernment between harmful and benign requests. Anthropic said it has worked with external experts to evaluate security and reliability, addressing challenges such as prompt injection attacks and model transparency. Also Read: Anthropic, Palantir, and AWS Partner to Bring Claude AI Models to US Defense Operations In another development, Anthropic is finalizing a USD 3.5 billion funding round that would value the company at USD 61.5 billion, Reuters reported on Monday, citing two sources familiar with the matter. Anthropic initially aimed to raise USD 2 billion but was reportedly able to increase that amount during talks with investors.

Anthropic's new Claude AI model can decide between speed and deep thinking

Claude 3.7 Sonnet offers an "extended thinking" mode that engages in a more detailed "chain of thought" reasoning but takes longer to generate a response. For simpler questions it eschews this mode and instead focuses on speed. Other models offer their own versions of "thinking" mode, but typically the user has to select that feature for harder problems; Anthropic says Claude 3.7 Sonnet is the first publicly available model with the capability to choose the best mode based on the user's question. If Grok 3 and DeepSeek-R1 are stick shifts, then Anthropic's new model is an automatic. "Just as humans use a single brain for both quick responses and deep reflection, we believe reasoning should be an integrated capability of frontier models rather than a separate model entirely," Anthropic says in a blog post. Claude 3.7 Sonnet outperforms other "thinking" models in some important benchmark tests. On SWE-bench, which evaluates AI models' ability to solve real-world software issues, the model beat OpenAI's o1 and o3-mini and DeepSeek-R1 by a comfortable margin. It was the same story on TAU-bench, which tests AI agents on complex real-world tasks with user and tool interactions. However, OpenAI's o1 model still edges out Claude 3.7 Sonnet in math problem solving, visual reasoning, multilingual Q&A, and graduate-level reasoning benchmarks.

Anthropic launches a new AI model that 'thinks' as long as you want | TechCrunch

Anthropic is releasing a new frontier AI model called Claude 3.7 Sonnet, which the company designed to "think" about questions for as long as users want it to. Anthropic calls Claude 3.7 Sonnet the industry's first "hybrid AI reasoning model," because it's a single model that can give both real-time answers and more considered, "thought-out" answers to questions. Users can choose whether to activate the AI model's "reasoning" abilities, which prompt Claude 3.7 Sonnet to "think" for a short or long period of time. The model represents Anthropic's broader effort to simplify the user experience around its AI products. Most AI chatbots today have a daunting model picker that forces users to choose from several different options that vary in cost and capability. Labs like Anthropic would rather you not have to think about it -- ideally, one model does all the work. Claude 3.7 Sonnet is rolling out to all users and developers on Monday, Anthropic said, but only users paying for Anthropic's premium Claude chatbot plans will get access to the model's reasoning features. Free Claude users will get the standard, non-reasoning version of Claude 3.7 Sonnet, which Anthropic claims outperforms its previous frontier AI model, Claude 3.5 Sonnet. (Yes, the company skipped a number.) Claude 3.7 Sonnet costs $3 per million input tokens (meaning you could enter roughly 750,000 words, more words than the entire Lord of the Rings series, into Claude for $3) and $15 per million output tokens. That makes it more expensive than OpenAI's o3-mini ($1.10 per 1M input tokens/$4.40 per 1M output tokens) and DeepSeek's R1 ($0.55 per 1M input tokens/$2.19 per 1M output tokens), but keep in mind that o3-mini and R1 are strictly reasoning models -- not hybrids like Claude 3.7 Sonnet. Claude 3.7 Sonnet is Anthropic's first AI model that can "reason", a technique many AI labs have turned to as traditional methods of improving AI performance taper off. Reasoning models like o3-mini, R1, Google's Gemini 2.0 Flash Thinking, and xAI's Grok 3 (Think) use more time and computing power before answering questions. The models break problems down into smaller steps, which tends to improve the accuracy of the final answer. Reasoning models aren't thinking or reasoning like a human would, necessarily, but their process is modeled after deduction. Eventually, Anthropic would like Claude to figure out how long it should "think" about questions on its own, without needing users to select controls in advance, Anthropic's product and research lead, Diane Penn, told TechCrunch in an interview. "Similar to how humans don't have two separate brains for questions that can be answered immediately versus those that require thought," Anthropic wrote in a blog post shared with TechCrunch, "we regard reasoning as simply one of the capabilities a frontier model should have, to be smoothly integrated with other capabilities, rather than something to be provided in a separate model." Anthropic says it's allowing Claude 3.7 Sonnet to show its internal planning phase through a "visible scratch pad." Lee told TechCrunch users will see Claude's full thinking process for most prompts, but that some portions may be redacted for trust and safety purposes. Anthropic says it optimized Claude's thinking modes for real-world tasks, such as difficult coding problems or agentic tasks. Developers tapping Anthropic's API can control the "budget" for thinking, trading speed and cost for quality of answer. On one test to measure real-word coding tasks, SWE-Bench, Claude 3.7 Sonnet was 62.3% accurate, compared to OpenAI's o3-mini model which scored 49.3%. On another test to measure an AI model's ability to interact with simulated users and external APIs in a retail setting, TAU-Bench, Claude 3.7 Sonnet scored 81.2%, compared to OpenAI's o1 model which scored 73.5%. Anthropic also says Claude 3.7 Sonnet will refuse to answer questions less often than its previous models, claiming the model is capable of making more nuanced distinctions between harmful and benign prompts. Anthropic says it reduced unnecessary refusals by 45% compared to Claude 3.5 Sonnet. This comes at a time when some other AI labs are rethinking their approach to restricting their AI chatbot's answers. In addition to Claude 3.7 Sonnet, Anthropic is also releasing an agentic coding tool called Claude Code. Launching as a research preview, the tool lets developers run specific tasks through Claude directly from their terminal. In a demo, Anthropic employees showed how Claude Code can analyze a coding project with a simple command such as, "Explain this project structure." Using plain English in the command line, a developer can modify a codebase. Claude Code will describe its edits as it makes changes, and even test a project for errors or push it to a GitHub repository. Claude Code will initially be available to a limited number of users on a "first come first serve" basis, an Anthropic spokesperson told TechCrunch. Anthropic is releasing Claude 3.7 Sonnet at a time when AI labs are shipping new AI models at a breakneck pace. Anthropic has historically taken a more methodical, safety-focused approach. But this time, the company's looking to lead the pack. For how long is the question. OpenAI may be close to releasing a hybrid AI model of its own; the company's CEO, Sam Altman, has said it'll arrive in "months."

Anthropic's new Claude model can extend its thinking

Claude 3.7 Sonnet's thinking process can be viewed transparently, which Anthropic believes might lend to better results. Anthropic's latest generative AI (GenAI) model - the Claude 3.7 Sonnet - can extend its thinking, allowing users to direct the model to spend more time thinking on prompts before it produces its responses. Users can toggle the "extended thinking mode" on or off and even set a "thinking budget" to control how long Claude spends on a prompt, the start-up said in its announcement yesterday (24 February). The newest model showcases an "improved capability" from its predecessor, the Claude 3.5 Sonnet, which allows it to allocate more turns, time and computational power to complete tasks. "Extended thinking mode isn't an option that switches to a different model with a separate strategy. Instead, it's allowing the very same model to give itself more time, and expend more effort, in coming to an answer," the start-up explained. Moreover, as part of a research preview, Anthropic is making the Claude model's thinking process transparent, meaning users can now view how the model processes a prompt or question. According to the start-up, this may lend to better results, allowing users to better understand and check Claude's answers, as well as observe any contradictions between what the model thinks inwardly, as opposed to what it says outwardly. However, the transparency has downsides. A transparent model makes it easier for malicious actors to jailbreak an AI model, or bypass the model's in-built safety measures and ethical guidelines. Jailbreaking enables an AI model to generate malicious output, including developing ransomware and fabricating sensitive content. Moreover, Anthropic also noted that Claude's thinking process wasn't given the start-up's character training, which generally makes it "behave well". This may reflect as Claude appearing detached and "less personal sounding", the start-up said. Users can access the latest Claude, including its extended thinking mode, on paid versions starting which start at $18 a month. According to Anthropic, Claude 3.7 Sonnet is placed at an AI Safety Level two. First announced in September 2023, the start-up's Responsible Scaling Policy is a framework that looks to manage risks from increasingly "capable" AI systems. The framework proposes increased security and safety measures depending on the AI model's capability - the higher its capability, the higher the security measures. Meanwhile, publications report that Anthropic is in talks to raise a $3.5bn funding round - significantly higher than what was previously rumoured, a move that would triple the AI start-up's valuation to more than $60bn. Don't miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic's digest of need-to-know sci-tech news.

ETtech Explainer: How is Sonnet 3.7 hybrid reasoning model different from rest of AI pack?

Claude 3.7 Sonnet, which comes after Claude 3.5 Sonnet in Anthropic's family of models, is an ordinary LLM and a reasoning model rolled into one. Some commentators and early testers on X called the model "amazing for programming" and "the best coding AI model". It has been made available on coding platform GitHub and on AI-powered search engine platform Perplexity AI.US-based artificial intelligence startup Anthropic on Monday launched a new large language model (LLM), Claude Sonnet 3.7, which it calls a "hybrid reasoning model". This entails, for the first time, "one model, two ways to think", the company said on microblogging site X. ET explains what's new with this model and how it compares to others: How is the model different? Claude 3.7 Sonnet, which comes after Claude 3.5 Sonnet in Anthropic's family of models, is an ordinary LLM and a reasoning model rolled into one. Unlike reasoning models like ChatGPT-maker OpenAI's o3-mini or Chinese upstart DeepSeek's R1, Claude 3.7 Sonnet users can control for how long the model should "think" before answering a query. They can choose between "normal" and "extended" thinking modes, the latter being where it applies its reasoning capabilities. API users can also control the budget for thinking, by specifying the number of tokens to limit itself to in responding to a query. "This allows you to trade off speed (and cost) for quality of answer," Anthropic said in a blog. "In developing our reasoning models, we've optimised somewhat less for math and computer science competition problems, and instead shifted focus towards real-world tasks that better reflect how businesses actually use LLMs," it added. How does its performance compare to other models? Some commentators and early testers on X called the model "amazing for programming" and "the best coding AI model". It has been made available on coding platform GitHub and on AI-powered search engine platform Perplexity AI. On the SWE-bench Verified benchmark, which evaluates AI models' ability to solve real-world software issues, Claude 3.7 Sonnet achieved 62% accuracy, higher than the 49% accuracy scores for OpenAI's o3-mini (high version), DeepSeek's R1, and Claude 3.5 Sonnet. Also Read: ETtech Explainer: How OpenAI is moving the needle with new 'deep research' tool In math problem solving, Claude 3.7 Sonnet's extended thinking mode scored 96% compared to 82% in normal mode. This is marginally lower than both o3-mini (98%) and R1 (97%). How much does it cost and who can access it? Claude 3.7 Sonnet is priced the same as its predecessors at $3 per million input tokens and $15 per million output tokens, which include the thinking tokens. It is more expensive than o3-mini which costs $1.10 per million input tokens and $4.40 per million output tokens, and DeepSeek's R1 which costs 55 cents per million input tokens and $2.19 per million output tokens. Claude 3.7 Sonnet was rolled out on all Claude plans, but the extended thinking mode is not available to free tier users. Also Read: Reimagining tech! AI's the art of the possible

Anthropic's new 'hybrid reasoning' AI model is its smartest yet

Claude 3.7 Sonnet is available starting Monday in the Claude app and for developers through Anthropic's API, Amazon Bedrock, and Google Cloud's Vertix AI. The model costs the same to run as its predecessor, 3.5 Sonnet, at $3 per million input tokens and $15 per million output tokens. While OpenAI and others offer separate so-called reasoning models, Anthropic product research lead Dianne Penn tells The Verge that the company wanted to simplify the experience of using a model. "We fundamentally believe that reasoning is a feature of the AI rather than a completely separate thing," she says, noting that Claude shouldn't take long to answer the question "What time is it?" versus responding to a more complex prompt like, "plan a two-week trip to Italy while considering the weather in late March."

Anthropic releases its 'smartest' AI model

OpenAI rival Anthropic on Monday released what it said is its smartest artificial intelligence model to date, particularly when it comes to computer coding. Along with Claude 3.7 Sonnet, the San Francisco-based company is making available in a limited research preview a digital "agent" called Claude Code tailored to be a tool for software developers. Amazon-backed Anthropic described Claude Code as able to search and read code, edit files, run tests and more. The release comes as AI companies are pushing out new products at a fast pace and with innovations quickly reproduced by rivals, often at a lower cost, raising concerns about finding a return on the massive investments. Anthropic's new model is "much stronger at coding, and particularly at taking over and doing really complicated coding tests," Anthropic co-founder and chief science officer Jared Kaplan told AFP. Aside from overall improved intelligence, the latest iteration of Claude has a "hybrid" reasoning model that lets users get quick answers to questions or have it spend time mulling complex queries and share steps in the process, according to Kaplan. The improvement enables Claude to better follow instructions and handle more sophisticated analyses, he added. Since OpenAI released ChatGPT in late 2022, the race has been on to lead in a technology predicted to change the way people live and work. AI models have moved beyond generating images, videos or written works to providing "agents" specializing in fields or tasks. OpenAI released a version of ChatGPT about six months ago that shared its "thinking" process, but Anthropic followed that by enabling its Claude model to command computers as people do. OpenAI responded with the recent release of its first AI agent called Operator with similar capabilities. Anthropic, which was founded in 2021 by former OpenAI employees, and its arch-rival are striving to stand out in an increasingly crowded market. "We try very hard to make model improvements grounded in customer problems," said Anthropic chief product officer Mike Krieger. "When it's just newer, better, faster it's not as impactful; we try to hear what people are saying and have the next model serve those needs." Amazon has invested a total of $8 billion in Anthropic, while Google-parent Alphabet has invested $2 billion in the startup.

Anthropic Launches the World's First 'Hybrid Reasoning' AI Model

Claude 3.7, the latest model from Anthropic, can be instructed to engage in a specific amount of reasoning to solve hard problems. Anthropic, an artificial intelligence company founded by exiles from OpenAI, has introduced the first AI model that can produce either conventional output or a controllable amount of "reasoning" needed to solve more grueling problems. Anthropic says the new hybrid model, called Claude 3.7, will make it easier for users and developers to tackle problems that require a mix of instinctive output and step-by-step cogitation. "The [user] has a lot of control over the behavior -- how long it thinks, and can trade reasoning and intelligence with time and budget," says Michael Gerstenhaber, product lead, AI platform at Anthropic. Claude 3.7 also features a new "scratchpad" that reveals the model's reasoning process. A similar feature proved popular with the Chinese AI model DeepSeek. It can help a user understand how a model is working over a problem in order to modify or refine prompts. Dianne Penn, product lead of research at Anthropic, says the scratchpad is even more helpful when combined with the ability to ratchet a model's "reasoning" up and down. If, for example, the model struggles to break down a problem correctly, a user can ask it to spend more time working on it. Frontier AI companies are increasingly focused on getting the models to "reason" over problems as a way to increase their capabilities and broaden their usefulness. OpenAI, the company that kicked off the current AI boom with ChatGPT, was the first to offer a reasoning AI model, called o1, in September 2024. OpenAI has since introduced a more powerful version called o3, while rival Google has released a similar offering for its model Gemini, called Flash Thinking. In both cases, users have to switch between models to access the reasoning abilities -- a key difference compared to Claude 3.7.

Anthropic Releases 'Most Intelligent' LLM Yet: How Does It Compare To OpenAI, Deepseek?

The artificial intelligence industry is largely fragmented between many firms jockeying to be on the cutting edge of the technology. Progress is often benchmarked against competitors, as in the case of Anthropic with its new Claude 3.7 Sonnet. A Step Forward: Anthropic, the AI startup backed by Jeff Bezos, announced the model on Monday on its website. The San Francisco-based company called it its "most intelligent" yet. Anthropic says the model has improved capabilities for coding and front-end web development. It also allows for an "extended thinking mode" that performs better than its standard model but takes longer to return a response to a prompt. Anthropic also noted a change in its priorities for the models' strengths: "...in developing our reasoning models, we've optimized somewhat less for math and computer science competition problems, and instead shifted focus towards real-world tasks that better reflect how businesses actually use LLMs," the announcement said. How it Compares: When compared against each other, large-language models are often more proficient in some tasks and less proficient in others. OpenAI, led by Sam Altman, and DeepSeek, a Hangzhou, China-based company that sent shockwaves through financial markets with its highly efficient LLM, are among Anthropic's competitors. Anthropic benchmarked Claude 3.7 Sonnet against OpenAI and DeepSeek's flagship models according to its own analyses. The model with extended thinking beats OpenAI's o1 and o3-mini and DeepSeek's R1 in virtually every category besides math problem-solving. In particular, Claude 3.7 Sonnet is particularly strong in coding, easily beating other models. It is also strong in graduate-level reasoning and interactions with external systems. Also Read: EXCLUSIVE: 3 ETFs Positioned For Microsoft's Quantum Breakthrough Image: Shutterstock Market News and Data brought to you by Benzinga APIs

Anthropic releases its 'smartest' AI model

AFP - OpenAI rival Anthropic released what it said is its smartest artificial intelligence (AI) model to date, particularly when it comes to computer coding. Along with Claude 3.7 Sonnet, the San Francisco-based company is making available in a limited research preview a digital "agent" called Claude Code tailored to be a tool for software developers. Amazon-backed Anthropic described Claude Code as able to search and read code, edit files, run tests and more. The release comes as AI companies are pushing out new products at a fast pace and with innovations quickly reproduced by rivals, often at a lower cost, raising concerns about finding a return on the massive investments. Anthropic's new model is "much stronger at coding, and particularly at taking over and doing really complicated coding tests", Anthropic co-founder and chief science officer Jared Kaplan told AFP. Aside from overall improved intelligence, the latest iteration of Claude has a "hybrid" reasoning model that lets users get quick answers to questions or have it spend time mulling complex queries and share steps in the process, according to Kaplan. The improvement enables Claude to better follow instructions and handle more sophisticated analyses, he added. Since OpenAI released ChatGPT in late 2022, the race has been on to lead in a technology predicted to change the way people live and work. The new AI model makes its debut as Anthropic works on finalising a USD3.5-billion funding round that values the start-up at USD61.5 billion in a huge leap from its prior valuation, according to a Wall Street Journal report. Anthropic declined to comment on the report. AI models have moved beyond generating images, videos or written works to providing "agents" specialising in fields or tasks. OpenAI released a version of ChatGPT about six months ago that shared its "thinking" process, but Anthropic followed that by enabling its Claude model to command computers as people do. OpenAI responded with the recent release of its first AI agent called Operator with similar capabilities. Anthropic, which was founded in 2021 by former OpenAI employees, and its arch-rival are striving to stand out in an increasingly crowded market. "We try very hard to make model improvements grounded in customer problems," said Anthropic chief product officer Mike Krieger. "When it's just newer, better, faster it's not as impactful; we try to hear what people are saying and have the next model serve those needs." Amazon has invested a total of USD8 billion in Anthropic, while Google-parent Alphabet has invested USD2 billion in the start-up.

Anthropic releases its 'smartest' AI model

San Francisco (AFP) - OpenAI rival Anthropic on Monday released what it said is its smartest artificial intelligence model to date, particularly when it comes to computer coding. Along with Claude 3.7 Sonnet, the San Francisco-based company is making available in a limited research preview a digital "agent" called Claude Code tailored to be a tool for software developers. Amazon-backed Anthropic described Claude Code as able to search and read code, edit files, run tests and more. The release comes as AI companies are pushing out new products at a fast pace and with innovations quickly reproduced by rivals, often at a lower cost, raising concerns about finding a return on the massive investments. Anthropic's new model is "much stronger at coding, and particularly at taking over and doing really complicated coding tests," Anthropic co-founder and chief science officer Jared Kaplan told AFP. Aside from overall improved intelligence, the latest iteration of Claude has a "hybrid" reasoning model that lets users get quick answers to questions or have it spend time mulling complex queries and share steps in the process, according to Kaplan. The improvement enables Claude to better follow instructions and handle more sophisticated analyses, he added. Since OpenAI released ChatGPT in late 2022, the race has been on to lead in a technology predicted to change the way people live and work. AI models have moved beyond generating images, videos or written works to providing "agents" specializing in fields or tasks. OpenAI released a version of ChatGPT about six months ago that shared its "thinking" process, but Anthropic followed that by enabling its Claude model to command computers as people do. OpenAI responded with the recent release of its first AI agent called Operator with similar capabilities. Anthropic, which was founded in 2021 by former OpenAI employees, and its arch-rival are striving to stand out in an increasingly crowded market. "We try very hard to make model improvements grounded in customer problems," said Anthropic chief product officer Mike Krieger. "When it's just newer, better, faster it's not as impactful; we try to hear what people are saying and have the next model serve those needs." Amazon has invested a total of $8 billion in Anthropic, while Google-parent Alphabet has invested $2 billion in the startup.

Anthropic launches advanced AI hybrid reasoning model

(Reuters) - Anthropic on Monday launched an advanced AI model that can produce faster responses or display its step-by-step reasoning process, as it looks to gain a competitive edge in the generative artificial intelligence industry. The introduction of Anthropic's hybrid model - which combines multiple reasoning approaches to solve complex problems more effectively - comes amid fierce competition in AI development, with U.S. tech firms vying against each other and Chinese companies such as DeepSeek and Alibaba. The Amazon and Google-backed startup said the Claude 3.7 Sonnet model is its most advanced and will be available on all Claude plans, including Free, Pro, Team and Enterprise. However, the "extended thinking mode" feature is only available on paid plans. In extended thinking mode, the model "self-reflects before answering," improving its performance on math, physics, instruction-following, coding, and many other tasks, Anthropic said. The San Francisco-based company added that the hybrid reasoning model has been designed to focus on "real-world" tasks and less on math and computer science problems to reflect how businesses actually use large language models. Anthropic said it is also releasing a limited-release preview of Claude Code, an agentic coding tool that helps developers with coding tasks, allowing them to "delegate substantial engineering work directly from their terminal." An agentic coding tool is an AI-powered software application that can autonomously perform coding-related tasks. While users can choose how much time and resources are devoted to answering a question, the company said its pricing structure will remain the same as its previous models. Anthropic's new model is cheaper than rival OpenAI's o1 model, costing $3 per million input tokens and $15 per million output tokens compared to $15 and $60, respectively. (Reporting by Zaheer Kachwala in Bengaluru; Editing by Tasim Zahid)

Anthropic launches advanced AI hybrid reasoning model

Feb 24 (Reuters) - Anthropic on Monday launched an advanced AI model that can produce faster responses or display its step-by-step reasoning process, as it looks to gain a competitive edge in the generative artificial intelligence industry. The introduction of Anthropic's hybrid model - which combines multiple reasoning approaches to solve complex problems more effectively - comes amid fierce competition in AI development, with U.S. tech firms vying against each other and Chinese companies such as DeepSeek and Alibaba(9988.HK), opens new tab. The Amazon (AMZN.O), opens new tab and Google (GOOGL.O), opens new tab-backed startup said the Claude 3.7 Sonnet model is its most advanced and will be available on all Claude plans, including Free, Pro, Team and Enterprise. However, the "extended thinking mode" feature is only available on paid plans. In extended thinking mode, the model "self-reflects before answering," improving its performance on math, physics, instruction-following, coding, and many other tasks, Anthropic said. The San Francisco-based company added that the hybrid reasoning model has been designed to focus on "real-world" tasks and less on math and computer science problems to reflect how businesses actually use large language models. Anthropic said it is also releasing a limited-release preview of Claude Code, an agentic coding tool that helps developers with coding tasks, allowing them to "delegate substantial engineering work directly from their terminal." An agentic coding tool is an AI-powered software application that can autonomously perform coding-related tasks. While users can choose how much time and resources are devoted to answering a question, the company said its pricing structure will remain the same as its previous models. Anthropic's new model is cheaper than rival OpenAI's o1 model, costing $3 per million input tokens and $15 per million output tokens compared to $15 and $60, respectively. Reporting by Zaheer Kachwala in Bengaluru; Editing by Tasim Zahid Our Standards: The Thomson Reuters Trust Principles., opens new tab Suggested Topics:Artificial Intelligence

Anthropic say it's released its 'most intelligent' AI model yet as competition ramps up

"We want one coherent AI that can help with with everything," said Jared Kaplan, Anthropic co-founder and chief science officer. As heavily funded startups and tech giants hustle to get any lead they can in artificial intelligence, Anthropic says it's developed the company's "most intelligent" AI model yet. The Amazon-back startup on Monday unveiled Claude 3.7 Sonnet. What makes it unique is its so-called hybrid model, which combines an ability to reason -- or stopping to think about complex answers -- with a traditional model that spits out answers in real time. "This model has all the capabilities wrapped together -- we want one coherent AI that can help with with everything," Anthropic co-founder and science chief Jared Kaplan told CNBC in an interview. "There's an advantage in simplicity for our customers." Anthropic says it's the only "hybrid" model of its kind available on the market, and will go live immediately. Kaplan likened it to the way the human brain operates. Some questions require deep thinking, some require quick responses. But Anthropic is looking to integrate both capabilities, rather than have an entirely separate model for both. The move could give Anthropic a much-needed edge against rival OpenAI, and megacap tech companies that are all investing heavily in AI models. Anthropic's chatbot Claude is a competitor to OpenAI's ChatGPT and Google's Gemini. Anthropic is in talks to raise up to $2 billion from Lightspeed and Google at a $60 billion valuation, CNBC has reported. Amazon has plowed roughly $8 billion into backing the startup. Anthropic product chief Mike Krieger, who previously co-founded Instagram, said the hybrid approach is a way to simplify the chatbot process for customers. They can use multiple capabilities without needing to think about which is the best option. "Models all have personalities, they're all a bit different," Krieger told CNBC, adding that it's a "lot" to have consumers choose the model, or how long they want it to reason. "I would love for people, end users, not have to think about that very much at all." Krieger said users should be able to turn the hybrid option on or off for simplicity. They can give it a time "budget" based on what they're working on. Anthropic will also role out a tool for coding using agents on Monday. The startup has had a few wins with product launches ahead of competitors. It was also the first to unveil a widely available "agent" capability late last year, which OpenAI soon followed. Krieger and Kaplan both said they expect competitors to move in this direction with hybrid models. For now, they said the "moat" exists in having strong closed loop customer relationships and coming out with smarter versions. "We see exploding demand that's hard to keep up with for existing models," Kaplan said. "We just generally believe that as we make models smarter and smarter, and more capable, that's just going to continue."

Anthropic's New AI Model Lets Users Decide How Much It Reasons

Anthropic is releasing a new artificial intelligence model that lets users decide if they want a quick answer to a simple question or a more time-consuming response that mimics human reasoning -- a novel approach that may help the AI startup stand out in a competitive landscape. With Claude 3.7 Sonnet, users will be able to choose whether to have the AI system spend more or less time computing an answer, depending on the complexity of their query. The model rolled out on Monday to free and paid users, Anthropic said in a blog post, though nonpaying users will initially not be able to use additional computing power to respond to their prompts. In recent months, a growing number of AI startups, including OpenAI, DeepSeek and Elon Musk's xAI, have introduced new models that can devote more time to computing an answer before responding, a process tech companies typically refer to as reasoning. But while the industry has positioned reasoning systems as the next frontier of AI, Anthropic is betting users may sometimes crave a little more simplicity. "What we're really trying to do is make it really seamless to adopt this capability where it makes sense, but not have it brought to bear where it doesn't make sense," Mike Krieger, Anthropic's chief product officer, told Bloomberg News. Approaches similar to Anthropic's may become more common soon. After spending several years releasing more capable AI models at a rapid pace, some artificial intelligence developers are now thinking about ways to make the user experience less complicated. Earlier this month, OpenAI Chief Executive Officer Sam Altman said that his company plans to eventually combine its GPT models, which powered the original ChatGPT chatbot, with its newer o-series of models to build AI systems that can automatically determine how long to ruminate over a query before responding. Eventually, Anthropic may also automate the decision to spend more or less time computing an answer to a query, according to Jared Kaplan, the company's co-founder and chief science officer.