ChatGPT-4o is out: what are the differences with ChatGPT-4?

The advent of language-based AI assistants has led to the emergence of several models, including ChatGPT-4 and the newest version released today, ChatGPT-4o. This article explores the differences between these two models, their capabilities, and the specific applications they are best suited for.


OpenAI recently unveiled GPT-4o, also known as “omni,” which represents a significant advancement in the field of human-computer interaction. This template is designed to handle input and output in text, audio and images in real time, and notes greatly improves the ability to understand and respond more naturally and quickly, as stated on the official website. GPT-4o is particularly effective at understanding vision and audio; in fact, it improves response latency and reduces costs compared to previous models.

OpenAI's ChatGPT series has gained considerable attention for its ability to understand and generate text naturally. Among the various models, ChatGPT-4 and its optimized variant ChatGPT-4o offer slightly different approaches. Understanding these differences is essential to best utilize their capabilities in different application contexts.

Core capabilities and optimizations


ChatGPT-4 is known for its advancement over previous models, with greater understanding of context and a better ability to maintain coherent discussions on complex topics. The model uses deep learning techniques to generate responses that are not only relevant, but often indistinguishable from human responses.

ChatGPT-4o, on the other hand, represents a specific evolution of ChatGPT-4, optimized for applications that require faster and more power-efficient responses. This version has been refined to improve latency and resource consumption when processing requests, making it ideal for environments where response speed is critical.

Practical applications

ChatGPT-4's applications are vast, finding use in fields ranging from content creation to customer service to education and beyond. Its versatility makes it suitable for answering questions conversationally, assisting in understanding complex texts, and in writing code.

ChatGPT-4o stands out for its use in scenarios where efficiency requirements are more stringent. This model finds application in embedded systems, mobile devices and other platforms where computing resources are limited. Furthermore, it is particularly useful in real-time applications such as live chat support or in IoT (Internet of Things) environments.

Although ChatGPT-4 and ChatGPT-4o share a common foundation, the optimizations made to ChatGPT-4o offer specific advantages in contexts of use where efficiency and speed are priorities. The choice between the two models will depend on the specific needs of the user and the application context.

The article ChatGPT-4o is out: what are the differences with ChatGPT-4? was written on: Tech CuE | Close-up Engineering .