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Anthropic, founded in 2021, has quickly emerged as one of the top contenders in the AI industry, joining the ranks of OpenAI, Google, and Microsoft. The company’s most notable creations, the Claude models, have received widespread acclaim for their advanced capabilities. Following this momentum, Anthropic held its first developer conference, “Code with Claude,” in May 2025, where they introduced their latest advancements: the Claude Opus 4 and Claude Sonnet 4. These cutting-edge models offer enhanced features, improved performance, and groundbreaking tools, aiming to reshape AI’s role in coding, reasoning, and long-term task management.
Claude Opus 4: The Ultimate Powerhouse
Claude Opus 4 takes the lead as
One of the key strengths of Opus 4 is its ability to run autonomously for extended periods, making it an ideal choice for powering AI agents. These agents, designed to complete tasks without human intervention, need models like Opus 4 to maintain long-term reasoning and ensure the next steps are taken with precision. Opus 4 outperforms all Sonnet models, making it the perfect tool for applications where complex decision-making and sustained tasks are paramount.
Claude Sonnet 4: Practicality Meets Power
The Claude Sonnet 4, the next generation of Anthropic’s Sonnet family, remains a practical yet powerful tool for most users. It offers enhanced steerability, a feature that allows for better control over the model’s reasoning and coding. Sonnet 4 is a significant upgrade over Sonnet 3.7, offering improved adaptability for tasks that require a more human-like touch, such as chatbot functions and user interactions.
Claude Sonnet 4 also introduces new features to enhance user experience, including the ability to switch between extended thinking and tool use seamlessly. This innovation allows the model to provide a balance between speed and accuracy, ensuring that users can achieve the desired outcomes without compromising on performance.
Key Features and Improvements Across Both Models
In addition to the improvements in Opus 4 and Sonnet 4, Anthropic has added several new tools and features to enhance user experience:
Memory Files: When granted access to local files, Claude can now create and maintain memory files, improving task awareness and performance over time.
Thinking Summaries: Both Opus 4 and Sonnet 4 provide users with concise summaries of the model’s thought process, helping them verify accuracy and identify gaps in reasoning.
Reward Hacking Reduction: A 65% reduction in reward hacking ensures that the models avoid shortcuts and provide accurate results.
Parallel Tool Use: Claude now has the ability to call multiple tools simultaneously or sequentially to execute tasks more efficiently.
Benchmarks and Performance
The launch of Opus 4 and Sonnet 4 was accompanied by impressive benchmark results. In coding tasks, both models outperformed leading models like OpenAI Codex-1 and GPT-4.1. Beyond coding, they also performed competitively in other domains such as reasoning and multilingual tasks, setting a new standard in AI performance.
Availability and Access
Both Claude Opus 4 and Sonnet 4 are available for users with paid plans, including Pro, Max, Team, and Enterprise. Sonnet 4, however, is accessible for free users as well. Developers can integrate these models into their applications via the Anthropic API, Amazon Bedrock, or Google Cloud’s Vertex AI. For coding enthusiasts, Anthropic has also launched Claude Code, which allows developers to leverage Claude’s coding capabilities directly within their preferred development environments.
What Undercode Says:
Anthropic’s new Claude Opus 4 and Sonnet 4 models represent a significant leap forward in the AI industry. While the previous Claude models were already formidable contenders, these new releases push the boundaries of what’s possible in terms of AI autonomy, reasoning, and coding. Opus 4, in particular, has made a lasting impact with its ability to handle long-running tasks and multi-step problem solving.
For developers, the introduction of Claude Code and new tools within the Anthropic API offers a host of opportunities for integrating these models into their workflows, making it easier to automate tasks and streamline development processes. The addition of memory files and thinking summaries is a particularly notable feature, as it allows developers to not only interact with the models but also gain valuable insights into their decision-making processes.
What stands out most is the hybrid nature of these models, allowing users to switch between rapid responses and extended reasoning. This flexibility positions Claude Opus 4 and Sonnet 4 as versatile tools for a wide range of applications, from AI agents that perform tasks autonomously to chatbots that provide more natural, human-like interactions.
In terms of performance, both models excel in coding benchmarks, outperforming competitors such as GPT-4.1 and OpenAI Codex-1. This solidifies Anthropic’s position as a top player in the AI race, with their models setting new benchmarks for coding and reasoning tasks.
Fact Checker Results
Claude Opus 4: Recognized as the most powerful AI model by Anthropic, surpassing its predecessors in terms of autonomy and performance in complex tasks.
Claude Sonnet 4: Improved steerability and user adaptability make it a practical solution for everyday applications and chatbot functionality.
Benchmarking Success: Both models showed superior results in coding and reasoning tasks, outpacing major competitors like OpenAI’s GPT-4 and Codex.
Prediction
With the release of Opus 4 and Sonnet 4, Anthropic is setting the stage for the next era of AI, where autonomous agents powered by these models could take over a wide array of tasks across industries. We can expect significant advancements in AI-driven automation, especially in coding, customer service, and problem-solving. The integration of Claude Code into development tools will likely encourage even more widespread use, allowing developers to create tailored AI solutions with unprecedented ease and accuracy. As these models evolve, they could reshape the future of AI applications in ways we are just beginning to explore. 🚀
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