OpenAI: GPT Audio
GPT Audio is a language model from OpenAI released on Jan 19, 2026. It reads text, files and audio and writes text and audio, with a 128K token context window and up to 16K tokens per reply.
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It costs $2.50 per million input tokens and $10 per million output tokens.
It supports tool calling and structured JSON output.
- Modalities
- In / out price
- $2.50 / $10 per 1M
- Context
- 128K
- Max output
- 16K
- Released
- Jan 19, 2026
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
GPT Audio pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $2.50 / 1M tokens | |
|---|---|---|
| Output | $10 / 1M tokens |
What GPT Audio costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call GPT Audio through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Temperature
temperature
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GPT Audio questions
How much does the GPT Audio API cost?
$2.50 per million input tokens and $10 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of GPT Audio?
128,000 tokens of input, and it can write up to 16,384 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does GPT Audio support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is GPT Audio open source?
No. OpenAI serves it through an API only, so you cannot download the weights or host it yourself.
When was GPT Audio released?
Jan 19, 2026.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on GPT Audio?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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