OpenAI has launched the GPT-4.1 series, enhancing language model capabilities significantly over its predecessors, GPT-4o and GPT-4.5. This new family introduces support for up to 1 million tokens, with notable improvements in coding tasks, long-context comprehension, and instruction-following capabilities. The models shine in benchmarks, particularly achieving a notable 54.6% accuracy on SWE-bench. Additionally, the GPT-4.1 mini and nano versions deliver cost-efficient alternatives without sacrificing performance, with the mini model reducing costs by 83%. OpenAI plans to deprecate GPT-4.5 Preview, consolidating its focus on advancing artificial intelligence technology with these new iterations.
OpenAI's GPT-4.1 family significantly improves coding abilities, context comprehension, and reduces unnecessary edits, outperforming predecessor models across various benchmarks.
On benchmarks like SWE-bench and Graphwalks, GPT‑4.1 outperforms earlier models with noticeable accuracy increases, making it adept for real-world software engineering tasks.
These models, ranging from GPT-4.1 to nano, showcase improvements in latency and cost efficiency, with GPT-4.1 mini being a cost-effective alternative without compromising performance.
The deprecation of GPT-4.5 Preview indicates OpenAI's commitment to advancing and streamlining its AI offerings, ensuring users leverage the most efficient tools available.
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