GPT-4o Review (Features & Benchmarks)

OpenAI announced the GPT-4o model, the most exciting and newest of the GPT-n models it has developed over the years, on May 13, 2024. OpenAI's GPT-4o model has managed to surpass its predecessors, the GPT-4 and GPT-4 Turbo models, in both usage diversity, performance and response speed. Moreover, the GPT-4o model can generate voice or text output at near-human speed by processing the audio or image inputs given by users. If you are looking for more information about this exciting model, you are in the right place!

In this article, we will explore the GPT-4o model in detail and examine its impressive features.

Ready? Let's dive in!

TL; DR

• GPT-4o is an AI model developed by OpenAI and announced on May 13, 2024.
• Unlike its predecessor, GPT-4, the GPT-4o model completes all processes with a single neural network.
• Since GPT-4o performs all processes from a single neural network, it can understand the emotions and external noises in the inputs and generate output with a human-like tone.
• The GPT-4o model managed to outperform the GPT-4 turbo model and its competitors in benchmarks.
• The GPT-4o model can process real-time image, video and vision input and generate output.
• You can use OpenAI's ChatGPT model to access the GPT-4o model for free with limits.
• ZenoChat by TextCortex is a multifunctional conversational AI assistant that offers a variety of LLMs including GPT-4o for your use.

What is GPT-4o?

The GPT-4o model is an AI model developed by OpenAI and announced on May 13, 2024. The most important feature that distinguishes GPT-4o from its predecessors and competitors is its ability to reason in real-time between audio, vision, and text. The GPT-4o model takes its name from its performance, which slightly exceeds that of the GPT-4 model, and from the word "Omni," meaning "everything." In other words, GPT-4o is a model that can be used for everything and can process everything.

How Does GPT-4o Work?

OpenAI's GPT-4o model uses a different method than its predecessor, GPT-4, to process given audio, vision, or text input. The GPT-4 model is a model that utilizes different neural networks and combines their outputs to respond to textual input with audio output. Unlike GPT-4, the GPT-4o model completes the entire process with a single neural network. In this way, the GPT-4o model can observe the input tone, detect multiple speakers, understand background noise, and generate more concise, emotion-expressing and human-like responses.

How to Access GPT-4o?

One of the things that makes the GPT-4o model more exciting than it is that it is worldwide and freely accessible. You can experience the GPT-4o model as both free and Plus users through OpenAI's ChatGPT web app. However, if you have a ChatGPT Plus membership, you have 5 times more creations than free users. To make the GPT-4o model accessible and usable by everyone, OpenAI has introduced an output limitation for each user.

Another method to access the GPT-4o model is to experience it through ZenoChat. ZenoChat is a conversational AI assistant developed by TextCortex that offers various LLMs including GPT-4o. To experience the GPT-4o model through ZenoChat, simply head to the TextCortex web application, click ZenoChat from the left menu and select GPT-4o from settings.

Is GPT-4o Free to Use?

OpenAI has announced the GPT-4o model as free to use to make it accessible worldwide. In other words, if you have an OpenAI account, you can log in to the ChatGPT web application and experience the GPT-4o model for free. However, the GPT-4o model has limited output generation for free users. If you want to use the GPT-4o model 5 times more, you can upgrade your account to Plus membership, which costs $20 per month.

GPT-4o API Pricing

If you want to use the GPT-4o model as an API, you can use it for half the price of the GPT-4 Turbo model. The GPT-4o model charges $5 per million input tokens and $15 per million output tokens.

GPT-4o Features

GPT-4o, OpenAI's latest and most advanced model, has opened the door to exciting use cases and new opportunities. This model has advanced multimodal capabilities and higher performance than its predecessors. Let's take a closer look at the features of GPT-4o.

GPT-4o Performance

The GPT-4o model has managed to outperform both its predecessor, the GPT-4 model, and its successors, such as Claude 3 Opus and Gemini Pro 1.5, in benchmarks. The GPT-4o model has more use cases, real-time data processing and output generation, and higher text evaluation scores than other large language models.

According to OpenAI's article, the GPT-4o model scores 88.7% in the LLMU benchmark which stands for language understanding skill. In the same benchmark, the GPT-4 model has a score of 86.6%, while the Claude 3 Opus model has a score of 86.8%.

Moreover, in the MATH benchmark designed to measure the arithmetic skills of large language models, the GPT-4o model is far ahead of other models with a score of 76.6%. The GPT-4o model scores 53.6% in the GPQA benchmark and 90.2% in the HumanEval benchmark.

Vision Understanding

One of the most striking features of the GPT-4o model is its vision understanding capabilities. The GPT-4o model can analyse visual, video and video-call data in real time and generate unique and human-like outputs as a result of its analysis. According to OpenAI's article, the GPT-4o model has much higher performance than other large language models and its predecessors in benchmarks such as MMMU, MathVista, ChartQA, and AI2D.

If we disregard the data on paper, during the introduction of the GPT-4o model, questions are posed to the model utilizing real-time images. The GPT-4o model comprehends all inquiries, translates them to images, and produces concise and human-like responses for users.

Voice / Audio Processing

One of the features that make the GPT-4o model exciting and impressive is its nearly human-like audio understanding and response generating speed. On average, a person responds to dialogues after a pause of 250 milliseconds. The GPT-4o model takes 320 milliseconds to analyse and respond to users' voice input. This time is 5.4 seconds for the GPT-4 model and 2.8 seconds for the GPT-3.5 model. In other words, talking to the GPT-4o model is almost as fluent and stable as talking to a real person.

Although the GPT-4o model currently has a fixed voice for each language, OpenAI has announced that it will diversify the voice category in the coming weeks. However, the GPT-4o model uses its existing voice as human-like, with emotional intonations, pauses, and fluidity.

Best ChatGPT Alternative To Train On Your Data: ZenoChat

If you are interested in the GPT-4o model but want to experience it with a better conversational AI assistant than ChatGPT, ZenoChat by TextCortex is designed for you. Using ZenoChat, you can integrate your knowledge from different sources and have AI analyze your centralized knowledge base.

How to Access GPT-4o via ZenoChat?

ZenoChat offers its users a variety of large language models, including GPT-4o. Through ZenoChat, you can use large language models such as GPT-4o, GPT-4, and Claude 3 Opus and utilize them to complete specific tasks. Accessing the GPT-4o model via ZenoChat is a straightforward and simple process, here is how:

• Create Your Free TextCortex Account.
• Select ZenoChat from the Left Menu.
• Enable GPT-4o from Chat Settings.

Customize Your ZenoChat

ZenoChat offers a fully customizable AI experience thanks to our “Individual Personas” and “Knowledge Bases” features.

Our "Individual Personas" feature allows you to customize ZenoChat's output style, emotions in responses, attitude, and tone of voice as you wish. With this feature, you can have your own AI assistant with a personalized voice. You can create and use it for your specific tasks.

Our "Knowledge Bases" feature allows you to upload or connect knowledge that ZenoChat will use to generate output. Thanks to this feature, you can use ZenoChat to analyse your specific data or chat with your documents.