Try the Model

Use the widget below to experiment with GPT-4o. You can detect COCO classes such as people, vehicles, animals, household items.

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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GPT-4o License

GPT-4o

is licensed under a

license.

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%.

Deploy a GPT-4o API

You can use Roboflow Inference to deploy a

GPT-4o

API on your hardware. You can deploy the model on CPU (i.e. Raspberry Pi, AI PCs) and GPU devices (i.e. NVIDIA Jetson, NVIDIA T4).

Below are instructions on how to deploy your own model API.

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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