NVIDIA: Nemotron 3.5 ASR Streaming Multilingual 0.6B: audio model
Nemotron 3.5 ASR Streaming Multilingual 0.6B is NVIDIA's compact, low-latency speech recognition model for 40+ languages. Reachable from inside Iran through Hormouz.
- Pricing:
- $0.0001998/minute of audio
- Type:
- audio
- Audio
Nemotron 3.5 ASR Streaming Multilingual 0.6B is a speech recognition model from NVIDIA. Its FastConformer-RNNT design targets low-latency transcription across more than 40 languages, for uses such as real-time captioning.
Hormouz serves Nemotron 3.5 ASR Streaming Multilingual 0.6B 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. It is not suitable for Persian: in our tests it did not produce a usable Persian transcript. For Persian, choose a model that did well in our tests, such as Scribe v2, MAI-Transcribe 2 or Whisper Large V3.
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.
Nemotron 3.5 ASR Streaming Multilingual 0.6B is a speech recognition model from NVIDIA. Its prompt-conditioned, cache-aware FastConformer-RNNT design targets low-latency transcription across more than 40 languages for real-time captioning, voice...
Quickstart
curl https://api.hormouz.net/v1/audio/transcriptions \ -H "Authorization: Bearer ng-YOUR_API_KEY" \ -F model=nvidia/nemotron-3.5-asr-streaming-multilingual-0.6b \ -F file=@audio.mp3
Specs
| Vendor | NVIDIA |
|---|---|
| Type | Audio |
| Context window | — |
| Pricing | $0.0001998/minute of audio |
| API | transcriptions |
Code example
curl https://api.hormouz.net/v1/audio/transcriptions \ -H "Authorization: Bearer ng-YOUR_API_KEY" \ -F model=nvidia/nemotron-3.5-asr-streaming-multilingual-0.6b \ -F file=@audio.mp3
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="nvidia/nemotron-3.5-asr-streaming-multilingual-0.6b", file=f)
print(tr.text)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: "nvidia/nemotron-3.5-asr-streaming-multilingual-0.6b",
file: fs.createReadStream("audio.mp3"),
});
console.log(tr.text);Buy the NVIDIA: Nemotron 3.5 ASR Streaming Multilingual 0.6B API, paid in rial
- Buy credit with an Iranian bank card; no foreign card or account needed.
- One Hormouz key reaches NVIDIA: Nemotron 3.5 ASR Streaming Multilingual 0.6B 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.
Use via Hormouz
Connect to this model and 600+ others with one API key, then see usage down to each request.
Request company accessFAQ
- How much does Nemotron 3.5 ASR Streaming Multilingual 0.6B 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 Nemotron 3.5 ASR Streaming Multilingual 0.6B 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 Nemotron 3.5 ASR Streaming Multilingual 0.6B?
- Hormouz serves Nemotron 3.5 ASR Streaming Multilingual 0.6B 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.
- Can I use Nemotron 3.5 ASR for Persian?
- We do not recommend it. In our tests it did not produce a usable Persian transcript. For Persian, choose a model that did well in our tests, such as Scribe v2, MAI-Transcribe 2 or Whisper Large V3.
Updated 2026-10-13