OpenAI: Whisper Large V3 Turbo

Origin

openai/whisper-large-v3-turbo

Whisper Large V3 Turbo is an optimized version of OpenAI's Whisper Large V3 speech recognition model, designed for speed and cost efficiency. It supports transcription across 99+ languages with a...

Pricing

Billed at actual usage

Billing follows the provider's own reported cost. The unit prices here are for reference; a model marked "billed at actual usage" has no reliable pre-call price, so your usage page is the record of what you paid.

Capabilities

Audio

Call it

Transcription is served on POST /v1/audio/transcriptions and takes a multipart file upload. **The format is inferred from the filename extension**, so the file must have one (mp3, wav, m4a, flac, ogg, webm, …). response_format supports json, verbose_json and text; srt and vtt are not supported in this release. Uploads are capped at 36 MiB.

curl https://macdecloud.com/v1/audio/transcriptions \
  -H "Authorization: Bearer dcld-sk-..." \
  -F file=@meeting.mp3 \
  -F model=openai/whisper-large-v3-turbo \
  -F response_format=json

Python (OpenAI SDK)

The official SDK's multipart upload works as is; just point base_url at deCloud.

from openai import OpenAI

client = OpenAI(base_url="https://macdecloud.com/v1", api_key="dcld-sk-...")
with open("meeting.mp3", "rb") as audio:
    resp = client.audio.transcriptions.create(model="openai/whisper-large-v3-turbo", file=audio)
print(resp.text)