GPT-4o

GPT-4o

GPT-4o Neural Network Description

GPT-4o (omni) is OpenAI's multimodal flagship model capable of accepting text, audio, images, and video as input, as well as generating text, audio, and image responses. Released in May 2024, the model quickly became the quality standard for complex tasks requiring integrated processing of various data types.

In terms of performance on text and code tasks, GPT-4o matches the capabilities of GPT-4 Turbo, but demonstrates significantly improved understanding of non-English languages and visual content. The model processes up to 128,000 tokens of context and is available via API, making it one of the company's most powerful and versatile developments.

GPT-4o Characteristics

Characteristic	Value
Type	Multimodal
Developer	OpenAI
Context window	128.0K tokens
Release date	August 6, 2024
Average score	52.8%
Input price	$2.50 per 1M tokens
Output price	$10.00 per 1M tokens
Max input tokens	128.0K
Max output tokens	16.4K
License	proprietary
Last update	July 19, 2025

Who is GPT-4o suitable for?

Developers and engineers

GPT-4o will be useful for developers working with multimodal data — text, images, and audio. The model supports Function Calling, structured output, and code execution, making it convenient for integration into complex software products.

Researchers and data analysts

Specialists involved in analyzing visual information (charts, graphs, documents) will appreciate GPT-4o's ability to process images and video. Improved understanding of non-English languages will also be useful for working with international data.

Business users and automation teams

For those looking for a universal AI assistant to automate routine tasks — from handling incoming requests to generating content and analyzing visual materials. Support for Batch Inference allows efficient processing of large volumes of requests.

How to use GPT-4o?

Via the OpenAI API

The model is available through the OpenAI programming interface. Developers can send requests containing text, audio, images, and video and receive generated responses. To get started, you need to register on the OpenAI platform, obtain an API key, and review the integration documentation.

Access to fine-tuning capabilities

For specialized tasks, fine-tuning of the model is available. This allows GPT-4o to be adapted to specific business processes, improving the accuracy and relevance of responses in a narrow subject area.

Using advanced capabilities

Users can take advantage of Web Search to obtain up-to-date information, Code Execution to solve computational tasks, and Batch Inference for mass processing of requests.

Key Features of GPT-4o

Multimodal input processing

The model accepts text, audio, video, and image data. This allows it to work with a wide variety of information formats — from written requests to voice commands and images.

Generating various types of responses

GPT-4o can generate text responses, audio messages, and visual results (images). Such versatility makes it suitable for a broad range of applications — from chatbots to voice assistants.

Additional built-in capabilities

The model supports Function Calling, Structured Output, Code Execution, Web Search, Batch Inference, and Fine-tuning. These features expand the scope of GPT-4o in real-world projects.

GPT-4o Advantages

High performance in text and code tasks

In terms of text and code quality, GPT-4o matches the capabilities of GPT-4 Turbo. The model achieves strong results on multimodal benchmarks such as AI2D, DocVQA, and ChartQA, confirming its ability to effectively process visual information.

Improved handling of non-English languages and visual content

One of the key advantages is significantly improved understanding of non-English languages, as well as images and audio. This makes the model more versatile for international users and tasks involving visual analysis.

GPT-4o Disadvantages

Moderate results on specialized tests

On some narrow benchmarks, the model shows mediocre results. For example, on the AIME 2024 test (mathematical problems), GPT-4o scored only 13.1%, and on the ERQA test (reasoning quality assessment) — 35.2%. This indicates that for certain complex logical and mathematical tasks, the model may lag behind more specialized solutions.

What tasks does GPT-4o solve?

Programming and development

The model can solve programming tasks, generate code, execute it, and help with debugging. Support for function calling and structured output simplifies integration with existing systems.

Logical reasoning and analysis

GPT-4o is suitable for analytical work — logical reasoning, processing multi-step instructions, data analysis, and drawing conclusions from visual information.

Working with images and visual data

Thanks to its multimodal nature, the model can analyze diagrams, charts, documents, and other visual materials, which is useful for research, business analytics, and educational purposes.

GPT-4o Pricing

The cost of using the model is $2.50 per 1 million input tokens and $10.00 per 1 million output tokens. This pricing policy makes GPT-4o accessible for commercial use, although costs can be significant for tasks with large volumes of generated text. For comparison, the price of output tokens is four times higher than the price of input tokens, which should be considered when planning a budget.

GPT-4o Terms of Use

The model is distributed under a proprietary license. Access to GPT-4o is available via the OpenAI API, and registration on the developer platform is required for use. Fine-tuning and batch inference are also governed by the platform's terms. The model was last updated on July 19, 2025.

GPT-4o Availability

GPT-4o is a paid model (distribution model — paid). It is available to all registered OpenAI API users. Release date — August 6, 2024. As of the last update (July 2025), the model remains current and is supported by the developer.

How GPT-4o differs from alternatives

Among the closest alternatives to GPT-4o released by OpenAI are o4-mini, GPT-4.1, GPT-4.5, GPT-4o mini, o3, GPT-5 nano, GPT-4, and GPT-5.1 Codex High. The main difference of GPT-4o is its native multimodality: the model was originally designed to work with text, images, audio, and video within a single 128K-token context window. While many alternatives specialize in text or code tasks, GPT-4o offers a universal solution for comprehensive processing of heterogeneous data. At the same time, in purely text and code metrics, it remains at the level of GPT-4 Turbo, yielding to more narrowly specialized models on some specific tests.

Conclusion

GPT-4o is OpenAI's flagship multimodal model designed to work with text, audio, images, and video. It combines high performance in typical tasks with advanced capabilities for processing visual content and non-English languages. Despite some limitations on highly specialized tests, the model is a powerful tool for developers, researchers, and business users who need a versatile AI assistant with broad functionality and API access.