---
title: openai/whisper-large-v3-turbo
description: Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recog. Whisper, 809M parameters.
canonical_url: https://superlinked.com/models/openai-whisper-large-v3-turbo
last_updated: 2026-08-24
---

# openai/whisper-large-v3-turbo

Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al.

Source: [openai/whisper-large-v3-turbo on HuggingFace](https://huggingface.co/openai/whisper-large-v3-turbo)
Base model: [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3)

## Overview

| Field | Value |
|-------|-------|
| Architecture | Whisper |
| Parameters | 809M |
| Tasks | Extract |
| Outputs | Text |
| Max sequence length | 448 tokens |
| License | mit |
| Inputs | audio |
| Languages | en, zh, de, es, ru, ko, fr, ja, pt, tr, pl, ca, nl, ar, sv, it, id, hi, fi, vi, he, uk, el, ms, cs, ro, da, hu, ta, no, th, ur, hr, bg, lt, la, mi, ml, cy, sk, te, fa, lv, bn, sr, az, sl, kn, et, mk, br, eu, is, hy, ne, mn, bs, kk, sq, sw, gl, mr, pa, si, km, sn, yo, so, af, oc, ka, be, tg, sd, gu, am, yi, lo, uz, fo, ht, ps, tk, nn, mt, sa, lb, my, bo, tl, mg, as, tt, haw, ln, ha, ba, jw, su |

## Benchmarks

### librispeech_asr

Domain: general · Task: transcription · Language: en

Speech-to-text transcription of read English audiobooks (LibriSpeech test-clean), scored by word error rate

Corpus: 2,620 · Queries: 2,620

**Quality:** wer: 0.0169 · cer: 0.0054

**Performance (L4 b1 c4):** Extract p50 1.0s

[Reference](https://www.openslr.org/12)