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Claude 4 hero 1152x648

New Claude 4 AI model refactored code for 7 hours straight

Posted on May 23, 2025

On Thursday, Anthropic released Claude Ops 4 and Claude Swant 4, which mainly focused on the variations of the middle -range Swant, indicating the return of the company’s major model release. From June Last year’s new model represents that the company still calls its highly capable coding models, which is designed for Ops 4 complex, long -lasting tasks that can operate for hours independently.

Alex Albert, head of the Claude Relations Anthropic, told ARS Technica that the company had chosen to restore the OPS line due to the increasing demand for agent AI applications. “The things that are producing in all the companies there, a large wave of these agents, is flowing, and the intelligence is placed on a lot of demand and premium,” said Albert. “I think Ops will fit the drain completely.”

Before leaving more, a short refresher on the names of the Claude’s three AI model “size” (Introduced In March 2024) it is probably guaranteed. Haiko, Swant, and Opes Price (in API), offer trade between speed and capacity.

The smallest, the least expensive to operate the hiku models is, and the least capable of what you call “the ideological relationships in context) and call the encoded knowledge. Due to the small size in the parameter count, the hiku models maintain less solid facts than the larger than the larger than the numbers.” The basic tasks are much faster than the models.

A screenshot of the Claude Web Interface with Ops 4 and Swant 4 options is shown.

A screenshot of the Claude Web Interface with Ops 4 and Swant 4 options is shown.


Credit: Anthropic

There is still no cloud 4 hiccups, but new Swants and Ops models can allegedly handle tasks that the previous version couldn’t do. In our interview with Albert, he described the testing scenes where Opis 4 worked for 24 hours on the tasks Play Pokemon Reforming works in the cloud code remained for seven hours without intervention while coding. Albert said the cloud models usually last only one to two hours before losing harmony, which means that models can produce useful reference results before starting producing many mistakes.

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