How do I use Gemini 3.5 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 Gemini 3.5 Transcribe?

Hormouz serves Gemini 3.5 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.

Google: Gemini 3.5 Transcribe: audio model

Gemini 3.5 Transcribe is Google's speech-to-text model for transcription that needs word-level timestamps, billed per token. Reachable from inside Iran through Hormouz.

Input:: $2/1M tokens
Output:: $12/1M tokens
Type:: audio

Audio

Gemini 3.5 Transcribe is a speech-to-text model from Google. It is built for synchronous transcription that needs word-level timestamps, and Google describes it as handling recordings with up to eight speakers.

Hormouz serves Gemini 3.5 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: audio tokens in and text tokens out; 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.

Gemini 3.5 Transcribe is a speech-to-text model from Google. It is suited for synchronous transcription that needs word-level timestamps or speaker diarization, with support for up to eight speakers. Audio...

Quickstart

curl https://api.hormouz.net/v1/audio/transcriptions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -F model=google/gemini-3.5-transcribe \
  -F file=@audio.mp3

Specs

Vendor	Google
Type	Audio
Context window	—
Pricing	$2/M audio tokens · $12/M text tokens
API	transcriptions

Code example

cURL

curl https://api.hormouz.net/v1/audio/transcriptions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -F model=google/gemini-3.5-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="google/gemini-3.5-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: "google/gemini-3.5-transcribe",
  file: fs.createReadStream("audio.mp3"),
});
console.log(tr.text);

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FAQ

How much does Gemini 3.5 Transcribe cost?: Billing is per token: audio tokens in and text tokens out; the current rate is in the price table on this page, and you pay only for what you use.
How do I use Gemini 3.5 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 Gemini 3.5 Transcribe?: Hormouz serves Gemini 3.5 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.
Does Gemini 3.5 Transcribe handle Persian?: Yes. In our tests on Persian speech it produced an accurate transcript.

Updated 2026-10-13