Explore the OpenAI GPT-4o Audio Model

Experience the power of audio and text inputs with GPT-4o Audio.

Input: audio · text Output: text Context: 128,000 tokens Release: 2025-08-15

Discover the OpenAI GPT-4o Audio model, released on August 15, 2025. This model uniquely accepts both audio and text inputs, providing a versatile approach to generating text outputs. With a context window of 128,000 tokens, it allows for detailed and nuanced understanding of prompts. While audio outputs are not supported, the model excels in processing audio inputs to enhance user experiences. Key parameters like frequency_penalty and temperature offer customization, making it a flexible tool for various applications.

Use Cases

Here are a few ways teams apply OpenAI: GPT-4o Audio in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance text generation with audio nuances

Create detailed narratives from audio prompts

Customize outputs with parameter tuning

Key Features

A quick look at the capabilities that make this model useful in real projects.

Supports audio and text inputs

128,000 token context window

Customizable with various parameters

Specs

Overview

Vendor
openai

Model ID
openai/gpt-4o-audio-preview

Release
2025-08-15

Modalities & context

Input
audio · text

Output
text

Context
128,000 tokens

Parameters & defaults

Supported parameters: frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: OpenAI: GPT-4o Audio

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

The OpenAI GPT-4o Audio model is designed to process and generate audio content using advanced machine learning techniques. It is capable of understanding and producing human-like speech, making it suitable for applications such as virtual assistants, automated customer service, and content creation. The model can transcribe spoken language into text and generate audio responses based on textual input, enhancing user interaction through natural language processing. Notable constraints include the requirement for a robust audio input for optimal performance, as well as limitations in understanding context in certain complex conversational scenarios. Additionally, the model may exhibit challenges with accents or dialects that differ significantly from its training data. Overall, GPT-4o Audio aims to facilitate seamless audio communication while acknowledging its operational boundaries.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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