Name: Chat GPT mini audio API
Brand: OpenAI

Overview

What is Chat GPT mini audio API?

GPT Mini Audio adds speech-to-text and text-to-speech abilities to the efficient GPT Mini model, optimized for voice interfaces in smaller applications.

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

Performance Benchmarks
[embed]

Chat GPT mini audio API Pricing
- Input: $0.78 / 1M tokens
- Output: $3.12 / 1M tokens

Where to Use Chat GPT mini 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): 67.0%
Uptime (7d): 93.0%
Availability (24h): 87.0%
Error rate (24h): 13.0%
End-to-end latency (24h median): 1.3s
Time to first token (24h median): 702ms
Throughput (24h median): 166.7 tok/s

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

Use cases

Documented use cases for this exact model include speech-to-speech use cases where real-time interaction is not required, since it is described as suitable for Chat Completions audio input and output.

It is also documented for creating spoken summaries from text, which the Microsoft catalog lists as a concrete example of its rich asynchronous audio input/output use.

Another listed use case is analyzing the sentiment of audio recordings by converting vocal nuances into text-based insights.

A further documented use case is facilitating asynchronous speech-in, speech-out interactions, which the model description highlights as a strength.

How to use Chat GPT mini audio API

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

import requests

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

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