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OpenAI: Whisper Large V3: audio model

Whisper Large V3 is OpenAI's open-weight speech recognition model for transcription and translation in 99+ languages. Reachable from inside Iran through Hormouz.

Pricing:
$0.00185/minute of audio
Type:
audio
  • Audio

Whisper Large V3 is OpenAI's open-weight automatic speech recognition model, offering both transcription and translation. It supports more than 99 languages and common audio formats including mp3, mp4, wav and webm.

Hormouz serves Whisper Large V3 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.

Billing is per minute of audio; 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.

Whisper Large V3 is OpenAI's open-source automatic speech recognition model offering both audio transcription and translation. It supports 99+ languages and accepts common audio formats including mp3, mp4, wav, webm,...

Quickstart

curl https://api.hormouz.net/v1/audio/transcriptions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -F model=openai/whisper-large-v3 \
  -F file=@audio.mp3

Specs

VendorOpenAI
TypeAudio
Context window—
Pricing$0.00185/minute of audio
APItranscriptions

Code example

cURL
curl https://api.hormouz.net/v1/audio/transcriptions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -F model=openai/whisper-large-v3 \
  -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/whisper-large-v3", 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/whisper-large-v3",
  file: fs.createReadStream("audio.mp3"),
});
console.log(tr.text);

Buy the OpenAI: Whisper Large V3 API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches OpenAI: Whisper Large V3 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.
Create an accountBuy ChatGPT (OpenAI) API access, paid in rial

Use via Hormouz

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FAQ

How much does Whisper Large V3 cost?
Billing is per minute of audio; the current rate is in the price table on this page, and you pay only for what you use.
How do I use Whisper Large V3 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 Whisper Large V3?
Hormouz serves Whisper Large V3 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.
Whisper Large V3 or Whisper Large V3 Turbo?
Turbo is an optimised version of Large V3, designed for speed and lower cost. Both gave accurate Persian transcripts in our tests; choose Large V3 when accuracy matters most and Turbo for high volume.

Updated 2026-10-13