Name: Chat GPT audio API
Brand: OpenAI

Overview

What is Chat GPT audio API?

GPT Audio is OpenAI's latest flagship model capable of understanding and generating text and audio in real-time, designed for natural conversation and auditory tasks.

Technical Specifications
- Supported inputs: Audio, Text
- Output: Audio, Text
- Context window: 128,000 tokens / Max output: —
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

Chat GPT audio API Pricing
- Input: $3.25 / 1M tokens
- Output: $13 / 1M tokens

Where to Use Chat GPT audio

Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.

Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.

Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.

Code Sample
[embed]

Uptime and performance

Uptime (24h): 90.0%
Uptime (7d): 95.0%
Availability (24h): 52.0%
Error rate (24h): 48.0%
End-to-end latency (24h median): 3.0s
Throughput (24h median): 85.1 tok/s

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

A voice interface for an existing text agent is a documented use case for this model family, where audio input and output can be added to a chat application to support spoken interaction. Live transcription is another documented fit, because the audio stack supports turning audio into text for streaming or bounded transcription workflows. Narration or generated speech is also supported through the audio system’s text-to-speech path, which is described as useful for producing spoken audio from text.

How to use Chat GPT audio API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to openai/gpt-audio.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "openai/gpt-audio",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "openai/gpt-audio",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-audio","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.