HIGHLIGHTS

GPT-4.1 achieves a remarkable score of 54.6% on SWE-bench Verified, surpassing GPT-4o by an impressive 21.4%.

These models support a context length of up to one million tokens, making them exceptionally well-suited for intricate tasks.

Introducing GPT-4.1 mini and nano: faster options that offer performance improvements at lower costs.

OpenAI has unveiled three innovative API models: GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano. These new models bring significant enhancements in areas such as coding efficiency, instruction comprehension, and long-context understanding. As the successor to the GPT-4o lineup, GPT-4.1 is capable of faster processing speeds, improved accuracy, and offers an extensive context window that accommodates up to one million tokens.

As highlighted by the company, GPT-4.1 has achieved a score of 54.6% on the SWE-bench Verified benchmark, specifically designed for assessing software engineering tasks. This performance marks a notable 21.4% improvement over its predecessor, GPT-4o. Additionally, GPT-4.1 has scored 38.3% on Scale’s MultiChallenge benchmark, which evaluates instruction-following capabilities, reflecting a 10.5% enhancement. These advancements indicate that GPT-4.1 is significantly more dependable in generating code, adhering to guidelines, and managing complex assignments.

In a blog post, OpenAI elaborated on the capabilities of the GPT-4.1 models regarding context management. They can effectively process and analyze up to one million tokens of context, which is nearly eight times larger than the entire React codebase. This extensive capacity enables the models to excel in comprehending and retrieving information from lengthy documents, making them particularly suitable for sophisticated tasks that include legal analysis and multi-document reviews.

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In a noteworthy development, OpenAI has reported that the GPT-4.1 series enhances performance while significantly reducing costs. The GPT-4.1 mini variant offers high performance with markedly lower latency and costs 83% less than its predecessors. Meanwhile, GPT-4.1 nano has been identified as the fastest model in the series, providing users with a swift and efficient solution for various applications.

Additionally, OpenAI has announced plans to decommission the GPT-4.5 Preview by July 14, 2025, as the new models demonstrate comparable or superior performance at lower price points. These models are readily available through the OpenAI API, featuring a pricing structure designed to be more budget-friendly for developers, thereby encouraging wider adoption and experimentation.

In summary, the introduction of GPT-4.1, along with its mini and nano versions, represents a significant milestone in AI model development. These advancements not only optimize performance in coding and instruction-following tasks but also enhance accessibility through cost-effective solutions. As OpenAI continues to push the boundaries of what is possible with natural language processing, developers and organizations stand to benefit significantly from these powerful tools.