---
title: "Whisper Large v3 | Tarka Utilities"
description: "Multilingual speech-to-text — 99 languages, including Nepali."
url: "https://tarkahq.com/utilities/whisper-large-v3/"
---

Speech to text

# Whisper Large v3

Multilingual speech-to-text — 99 languages, including Nepali.

[Sign up](https://tarkahq.com/console?auth=signup) [Utility model docs](https://tarkahq.com/docs/inference/utility-models/)

- **Status**: Live
- **Languages**: 99 languages
- **License**: MIT (OpenAI Whisper open release)

## Model ID

| Model ID | Designed for |
| --- | --- |
| `whisper-large-v3` | Multilingual transcription and English translation |

Confirm access with `GET /v1/models`, then follow the [utility-model docs](https://tarkahq.com/docs/inference/utility-models/) for the canonical v1 REST or native gRPC request contract.

## Pricing

`whisper-large-v3`: Free for a limited time. ~~$0.00005~~ $0.00 per audio second

 USD · catalog 2026-11-04.1. Release verified 2026-11-04. EUR uses the catalog conversion. [Live catalog](https://tarka.rest/control/v1/pricing).

## Overview

Whisper Large v3 is the third-generation release of OpenAI’s open Whisper model — robust, multilingual speech recognition trained on 680k+ hours of multilingual and multitask supervised data from the web.

Whisper Large v3 is available through two canonical v1 endpoint shapes and matching native gRPC methods:

- **`/v1/audio/transcriptions`** — OpenAI-compatible multipart upload with language detection and optional timestamps where supported.
- **`/v1/audio/translations`** — translate supported source languages directly into English.

## When to pick it

- Anything an agent needs to listen to: voice messages, calls, voice notes, meeting recordings, podcast clips
- Multilingual workflows where you cannot pin the input language ahead of time
- Pipelines that chain transcription into a language-model call under the same Tarka account

Use model discovery and your organization limits as the source of truth for access, upload size, and concurrency. Pass `language=ne` when the source audio is Nepali.