OpenAI has announced the expansion of its large language models with GPT-4.1, GPT-4.1 Mini, and GPT-4.1 Nano. According to OpenAI, these new models offer improvements in various areas, including programming, instruction following, and handling longer contexts. The announcement was made through various channels, including a tweet from OpenAI Developers and availability on the Arena platform from lmarena.ai, which allows users to test and compare different AI models.
GPT-4.1 is said to be specifically optimized for programming. The model is expected to be able to better understand and generate more complex code structures. This could help developers accelerate their workflows and improve code quality. Concrete examples of the improvements have not yet been published in detail by OpenAI, but the company promises significant progress in this area.
Another focus of the further development is on improved instruction following. GPT-4.1 is supposed to be able to interpret and implement instructions more accurately. This is crucial for the effective use of language models in various applications, from text generation to task automation.
The new models are also said to have been improved in handling long contexts. This means that they are able to process and consider larger amounts of information, leading to more coherent and contextually relevant results. This capability is particularly important for applications that require the analysis and synthesis of longer texts.
All three models – GPT-4.1, GPT-4.1 Mini, and GPT-4.1 Nano – are available through the OpenAI API. In addition, the Arena platform from lmarena.ai offers the opportunity to compare the new models with other leading AI models and evaluate their performance in various scenarios. Users can thus identify the strengths and weaknesses of the different models and select the model best suited for their requirements. Details on the pricing of the new models have not yet been released by OpenAI.
The release of GPT-4.1, Mini, and Nano underscores OpenAI's continuous efforts to expand the capabilities and application range of large language models. The announced improvements in programming, instruction following, and context processing could lead to new innovations and applications in the field of artificial intelligence. It remains to be seen how the new models will perform in practice and what impact they will have on the further development of AI systems. The community now has the opportunity to test the models and, through direct comparisons, contribute to the evaluation and further development of the technology.
Sources: - https://openai.com/index/gpt-4-1/ - https://twitter.com/lmarena_ai/status/1911894563264012729 - https://twitter.com/lmarena_ai/status/1911929241228456391 - https://www.wired.com/story/openai-announces-4-1-ai-model-coding/ - https://www.datacamp.com/blog/gpt-4-1 - https://techcrunch.com/2025/04/14/openais-new-gpt-4-1-models-focus-on-coding/ - https://www.theverge.com/news/647896/openai-chatgpt-gpt-4-1-mini-nano-launch-availability - https://cookbook.openai.com/examples/gpt4-1_prompting_guide