Cost per million tokens
GPT-4o is the next iteration of GPT-4 language model. While inheriting the core transformer-based encoder-decoder architecture, GPT-4o prioritizes improved processing efficiency. This translates to faster inference speeds and potentially lower computational requirements compared to its predecessor.
GPT-4o uses a transformer architecture. This architecture processes linguistic structures. GPT-4o generates text similar to human writing, useful for tasks such as content creation. The attention mechanism in GPT-4o helps the model understand the relevance of data. This leads to responses that contain necessary information, improving user interaction.