Explore OpenAI's GPT Audio Mini Model

Efficiently process text and audio with improved voice quality.

Input: text · audio Output: text · audio Context: 128,000 tokens Release: 2026-01-19

OpenAI's GPT Audio Mini, launched on January 19, 2026, is designed for both text and audio processing. With a substantial context length of 128,000 tokens, this model efficiently handles various input modalities including text and audio, producing output in the same formats. It features an upgraded decoder that enhances voice quality, ensuring more natural-sounding results and improved voice consistency. This model is ideal for applications that require seamless integration of audio and text, making it a versatile tool for developers and content creators alike.

Use Cases

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

Create engaging audio content from text

Transcribe audio into accurate text

Develop applications for voice assistants

Enhance multimedia presentations with voice

Generate audio responses for chatbots

Key Features

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

Upgraded decoder for natural-sounding voices

Handles both text and audio inputs

Supports a large context length of 128,000 tokens

Maintains better voice consistency

Flexible output in text and audio formats

Specs

Overview

Vendor
openai

Model ID
openai/gpt-audio-mini

Release
2026-01-19

Modalities & context

Input
text · audio

Output
text · audio

Context
128,000 tokens

Parameters & defaults

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

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: OpenAI: GPT Audio Mini

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

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