OpenAI’s new GPT-4.1 models can process a million tokens and solve coding problems better than ever. [English]

Author: DNyuz | Read the full article in English

OpenAI has recently unveiled its latest AI models, known as GPT-4.1, which are designed to enhance coding capabilities while also being more cost-effective. This new lineup includes three versions: GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano, all of which can handle a remarkable one million tokens of information at once. This is a significant upgrade from previous models, allowing for better performance in software engineering tasks and more precise instruction following.

The company has focused on making these models practical for businesses, with the aim of improving their efficiency in real-world applications. For instance, early users have reported notable improvements in tasks such as legal document reviews and financial data extraction. The new models are not only cheaper to use but also more effective, making them appealing to enterprises looking to integrate AI into their operations.

In addition to the launch, OpenAI plans to phase out its previous model, GPT-4.5 Preview, in favor of the more efficient GPT-4.1. This strategic move highlights OpenAI's commitment to providing tools that are not only powerful but also accessible to a wider range of businesses. As competition in the AI market intensifies, these advancements could help OpenAI maintain its leadership position.

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