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OpenAI: GPT-4o Transcribe: audio model

GPT-4o Transcribe is OpenAI's high-quality speech-to-text model built on GPT-4o, billed per token. Reachable from inside Iran through Hormouz.

Input:
$2.5/1M tokens
Output:
$10/1M tokens
Type:
audio
  • Audio

GPT-4o Transcribe is OpenAI's high-quality speech-to-text model, built on GPT-4o's audio capabilities. It takes audio in and returns transcribed text.

Hormouz serves GPT-4o Transcribe on two endpoints: the OpenAI-compatible /v1/audio/transcriptions, which returns the text in the same response, and /v1/predictions for long recordings processed in the background. In our tests on Persian speech it produced an accurate transcript. Unlike most transcription models, it is billed per token rather than per minute.

Billing is per token: input and output tokens; the current rate is in the price table on this page, and you pay only for what you use. Hormouz provides stable access to it from inside Iran, with no foreign credit card or circumvention tooling required.

GPT-4o Transcribe is OpenAI's high-quality speech-to-text model built on GPT-4o audio capabilities. It's priced per token (input and output), making it suitable for workflows that benefit from token-level billing transparency.

Quickstart

curl https://api.hormouz.net/v1/audio/transcriptions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -F model=openai/gpt-4o-transcribe \
  -F file=@audio.mp3

Specs

VendorOpenAI
TypeAudio
Context window—
Pricing$2.5/M audio tokens · $10/M text tokens
APItranscriptions

Code example

cURL
curl https://api.hormouz.net/v1/audio/transcriptions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -F model=openai/gpt-4o-transcribe \
  -F file=@audio.mp3
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
with open("audio.mp3", "rb") as f:
    tr = client.audio.transcriptions.create(model="openai/gpt-4o-transcribe", file=f)
print(tr.text)
JavaScript
import OpenAI from "openai";
import fs from "node:fs";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const tr = await client.audio.transcriptions.create({
  model: "openai/gpt-4o-transcribe",
  file: fs.createReadStream("audio.mp3"),
});
console.log(tr.text);

Buy the OpenAI: GPT-4o Transcribe API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches OpenAI: GPT-4o Transcribe and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
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FAQ

How much does GPT-4o Transcribe cost?
Billing is per token: input and output tokens; the current rate is in the price table on this page, and you pay only for what you use.
How do I use GPT-4o Transcribe from inside Iran?
Create a Hormouz account and generate an API key. Hormouz gives you a stable route to the model from inside Iran, with no foreign credit card or circumvention tooling needed.
How do I call GPT-4o Transcribe?
Hormouz serves GPT-4o Transcribe on two endpoints. The OpenAI-compatible POST /v1/audio/transcriptions takes the file as the multipart field "file", or as JSON input_audio with base64 data and format, and returns {text, usage} in the same response. POST /v1/predictions handles long recordings in the background: input.audio is an https URL or a data: URI, input.language is optional. Code written for OpenAI's SDK works by changing only the base URL.
GPT-4o Transcribe or GPT-4o Mini Transcribe?
Both are billed per token and both gave accurate Persian transcripts in our tests. GPT-4o Transcribe is the higher-quality model; the Mini variant is smaller and cheaper for high-volume work.

Updated 2026-10-13