OpenAi officially presented its last line of AI-A GPT-4.1-4-series models that create powerful updates. Whether you coding or analyzing large documents, these new models are designed to deal with more. The programming includes three versions: GPT -4.1, GPT -4.1 Mini and GPT -4.1 Nano. Let’s go deeper into the details.
“These models are excellent at coding, following instructions, and maintaining a huge context (1 million tokens). Benchmarks are strong, but we focus on the usefulness of the real world, and developers look very happy,” said Sam Altman, OpenAi CEO in X (previously Twitter).
Let’s dive into the details of the new openai GPT-4.1 models.
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What’s new in OpenAi GPT-4.1?
One of the biggest highlights of GPT-4.1 models is the expanded context window. These models can work with up to 1 million tokens. This is a big leap of the limit of 128,000 tokens of the GPT-4O models. This means that GPT-4.1 models can better understand long documents, large code bases or detailed conversations without losing important details.
In addition, the GPT-4.1 has received a significant boost in coding performance. OpenAi says it offers an improvement of 21.4% compared to GPT-4O and a 26.6% jump compared to GPT-4.5 on coding tasks.
In addition, in Scale’s multichallenge reference (an instructional measure after capacity), the new GPT -4.1 has 38.3%, an increase of 10.5% compared to GPT -4O, according to OpenAi.
“The close collaboration and partnership with the developer community have allowed us to optimize these models for the most important tasks for their applications,” OpenAi wrote on their website.
OpenAi GPT-4.1 models: availability
All new models, GPT-4.1, GPT-4.1 Mini, and GPT-Nano4.1, are now available to all developers.