- Claude Opus 4.1 improves coding accuracy and reasoning tasks.
- Outperforms previous versions in SWE-bench Verified benchmark and code refactoring.
- Available with paid subscriptions, Anthropic API, Amazon Bedrock, and Google Vertex AI.
- Technology companies have seen practical improvements in real-world environments with the new version.
Claude Opus 4.1 is now available and represents a significant evolution within advanced artificial intelligence models, especially in those tasks that require not only text generation, but deep analysis and precision in programming. Anthropic, the company behind Claude, thus maintains its commitment to Refine and strengthen the usefulness of its AI for developers, businesses, and technical analysts.
With this update, Anthropic responds to the growing demand for models capable of solve complex problems and debug code efficiently, consolidating its competition against popular options like ChatGPT or Google's Gemini. The launch of Claude Opus 4.1 comes amid intense competition in the generative AI sector and highlights the company's focus on reliability and performance for professional users.
Technical improvements and new results
One of the highlights of this new version is the improvement in benchmarks. Claude Opus 4.1 has reached a 74,5% in the SWE-bench Verified test, a standard that measures the ability of AI to solve real-world software engineering tasks extracted from projects like those on GitHub. This figure represents an increase over the previous version and positions Claude Opus 4.1 as a solid alternative for those seeking reliability in writing and debugging code.
Additionally, AI has demonstrated advances in project refactoring composed of multiple files, a particularly complex task for current language models. Technology companies such as GitHub and Rakuten have reported that the new version reduces the possibility of collateral errors during the process of correcting and adapting large code bases.
Availability and access to Claude Opus 4.1
The Opus 4.1 model completely replaces its predecessor, so all paying users Claude's can now access the new version at no additional cost. It is available through the following channels:
- Claude and Claude Code paid subscription
- Own API, accessible through the specific Opus 4.1 endpoint
- Amazon Bedrock and Google Cloud Vertex AI in select locations
- Integration into platforms such as GitHub Copilot (Enterprise and Pro+) and development environments such as Visual Studio Code
The model maintains the pricing policy of its predecessor, so no changes have been introduced for developers or companies that previously used it. Anthropic has announced that The Opus 4 version will be retired within 15 days., leaving only the update available.
Features, context and comparison with rivals
One of the critical points of the new Claude Opus 4.1 remains its context capacity: supports up to 200.000 input tokens and 32.000 output tokensAlthough this figure is considerable, it is below other alternatives on the market such as GPT-4.1 y Gemini 2.5 Pro, which allow working with much larger volumes of text. To analyze a technical document of about 100 pages, using this AI, The approximate cost would be $0,60.
El price per million tokens also varies; Claude is less competitive in text generation compared to Google Gemini or GPT-4.1, while maintaining its leadership in programming tasks and in-depth data analysis. The cost per million input tokens is $15 and the output is $75 for Claude, compared to lower prices for other AI solutions.
Practical applications and added value
Companies like Rakuten and Windsurf have already implemented version 4.1 in their workflows with positive results., especially in correcting specific errors and reducing unnecessary modifications in large projects. Furthermore, the model has been tested in environments where the precision and detailed analysis are a priority, such as in technological research and management of large volumes of information.
His ability in programming tasks is combined with improvements in agentic search, which allows the system to act autonomously to Identify and organize relevant data without continuous human interventionThese features make it a useful ally for developers, analysts, and data scientists.
Anthropic has made available support resources, detailed documentation, and informational materials on the model's functionality and limitations, encouraging responsible adoption and feedback within the technology community.
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