Whisper v3

Training compute

2.7×10²³ FLOP

Parameters

1.6B

Published

Nov 6, 2023

Whisper v3 is an AI model developed by OpenAI (United States), first published in November 2023. It works in the speech domain, on tasks such as speech recognition (asr).

Training it took an estimated 2.7×10²³ FLOP of compute (estimation method: comparison with other models). The model has 1,550,000,000 parameters. It was trained on roughly 80B datapoints.

Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as likely.

Full record

Organization: OpenAI
Country of organization: United States
Domain: Speech
Task: Speech recognition (ASR)
Training compute: 2.7×10²³ FLOP
Compute estimation method: Comparison with other models
Parameters: 1,550,000,000
Dataset size: 80B
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Likely