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openai/whisper-large-v3-turbo

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Primitive: /extract · Extract · Whisper

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.

View on Hugging Face → Fine-tuned from openai/whisper-large-v3

Overview

Hardware: L4RTX-PRO-6000 — drives latency, throughput & cost

Size	809M params
Tasks	/extract
License	mit
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
Latency	1.0 s
Throughput	—
Cost	— /1M tok

Cost is approximate — computed from list GPU prices; your actual price depends on the provider you deploy SIE with.

Extraction

Output kinds	Text
Inputs	audio
Max sequence length	448

Benchmarks