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OpenAI has unveiled its latest line-up of artificial intelligence models, GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano, marking a significant leap in performance and efficiency for developers working with the company’s API.
According to OpenAI, the new models deliver improved capabilities in coding, instruction adherence, and long-context comprehension. The company also announced that GPT-4.1 outperforms both the GPT-4o and GPT-4.5 models, while offering lower operational costs.
One of the most notable upgrades is the models’ ability to handle up to 1 million tokens, essentially units of data processed by AI, which dramatically improves their ability to understand and manage extended conversations or large chunks of information.
OpenAI says GPT-4.1 showed a 21% performance boost over GPT-4o and 27% over GPT-4.5 in coding-related benchmarks. Enhancements in instruction-following and long-context processing also make the model more effective for powering intelligent agents and applications.
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