Overview

GPT-4o is OpenAI’s third major iteration of their popular large multimodal model, GPT-4, which expands on the capabilities of GPT-4 with Vision. The newly released model is able to talk, see, and interact with the user in an integrated and seamless way, more so than previous versions when using the ChatGPT interface.

Learn more in our comprehensive overview and evaluation.

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Performance

GPT-4o’s newest improvements are twice as fast, 50% cheaper, 5x rate limit, 128K context window, and a single multimodal model are exciting advancements for people building AI applications. More and more use cases are suitable to be solved with AI and the multiple inputs allow for a seamless interface.

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Benchmarks

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In comparison to other multimodal models, GPT-4o is by far the strongest in terms of vision. It outperforms Google Gemini and Anthropic Claude in math, charts, documents, and more. However, in order to reach/out perform humans, 4o still has a while to go, with average human performance for evaluations like MMMU being 88%.

Use This Model

Label Data Automatically with GPT-4o

You can automatically label a dataset using GPT-4o with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use GPT-4o to train a computer vision model.

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