AI

Introducing GPT-5.4 mini and nano

OpenAI has released two new versions of its GPT-5.4 model: mini and nano. These smaller models are designed to be faster and more efficient than the original GPT-5.4, making them suitable for tasks such as coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads. The mini version is optimized for tasks that require a balance between speed and accuracy, while the nano version is designed for extremely low-latency applications.
OpenAI has released two new versions of its GPT-5.4 model: mini and nano. These smaller models are designed to be faster and more efficient than the original GPT-5.4, making them suitable for tasks such as coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads. The mini version is optimized for tasks that require a balance between speed and accuracy, while the nano version is designed for extremely low-latency applications. --- Why it matters: These smaller models matter to researchers because they can be used in edge cases where resources are limited, such as on-device AI or in IoT devices. They also provide a stepping stone for developing more complex AI models by allowing developers to experiment with larger-scale tasks without the need for significant computational resources. Source: https://openai.com/index/introducing-gpt-5-4-mini-and-nano

This article was originally published at: https://openai.com/index/introducing-gpt-5-4-mini-and-nano