OpenAI has released GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano to its API suite, phasing out GPT-4.5 Preview while advancing code generation, instruction following, and long-context processing capabilities.
Essentially signaling the failure of GPT-4.5, the new 4.1 models introduce context windows of up to one million tokens, enabling native handling of full repositories, extensive documents, and complex multi-turn agent workflows within a single call.
While researching this article, I was able to use GPT-4.1 ‘vibe code,’ a simple Python-based dungeon crawler, in 5 minutes and 5 prompts. The model made no errors in its code, with the only issues related to identifying relevant sprites in the asset atlas I imported.
Dungeon crawler demo built with GPT-4.1
Due to its large context window, it was also able to successfully identify the functionality of a large code repo within a few prompts.
Model Capabilities and Transition Path
Per OpenAI, GPT-4.1 achieves a 54.6% score on SWE-bench Ve
We współpracy z: https://cryptoslate.com/openai-releases-1-million-token-context-coding-model-gpt-4-1-available-immediately-via-api/
