by OpenAI·Released 1 May 2026
Whisper Large V3 Turbo takes a recording in a common format such as mp3, wav, flac or ogg and gives back a transcript in 99 or more languages. It is the faster, lighter version of Whisper Large V3 and can turn an hour of audio into text in well under a minute, so it suits large piles of recordings.
You pay for what each request uses. No subscription, no minimum.
One minute of audio, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Second of audio | 0,0037 DA |
per second of audio sent
Two companies run this model. OpenDunes sends each request to one of them, picked by price and speed. If it fails, the next one takes it.
| Provider | Per second of audio | Latency | Uptime |
|---|---|---|---|
| DeepInfraUnited States | 0,0011 DA | … | … |
| Groq | 0,0037 DA | … | … |
You pay the price of the provider that served your request. Prices read 15:20 · speed over the last 30 minutes · uptime over 3 days.
Swap the base URL and the key. Your OpenAI code runs unchanged.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://opendunes.com/v1",
api_key=os.environ["OPENDUNES_API_KEY"],
)
with open("meeting.mp3", "rb") as f:
resp = client.audio.transcriptions.create(model="openai/whisper-large-v3-turbo", file=f)
print(resp.text)Runs this request once on your balance.
About 0,22 DA per minute of audio. ↑ 0,0037 DA per second of audio.
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
Whisper Large V3 Turbo takes a recording in a common format such as mp3, wav, flac or ogg and gives back a transcript in 99 or more languages. It is the faster, lighter version of Whisper Large V3 and can turn an hour of audio into text in well under a minute, so it suits large piles of recordings.
Whisper Large V3 costs 0,40 DA more for the same minute of audio.
Deposit dinars with your Edahabia or CIB card. Every model, Whisper Large V3 Turbo included, is paid from that balance. No foreign card, no conversion.
The Whisper model card lists 99 languages, Arabic and French among them. Darja is not named.
Speaker labels: not stated. Word timings: not stated.
Up to 25 MB as an upload. Longer audio goes in the request body.
OpenAI. Released 1 May 2026.
Text Embedding 3 Small turns text of up to about 8 pages into a fingerprint of its meaning, so search finds passages that mean the same thing even when the words differ. It replaces the older ada-002 and is the sensible default for search over your documents, grouping similar messages or labelling them.
GPT Image 2.5 Sunburst takes a written description, with optional reference pictures, and gives back an image, new or edited, as PNG, JPEG or WebP, with transparent backgrounds on PNG and WebP. It is the precision tier of the 2.5 series, for detailed creative work where an edit has to land exactly as asked, and it adds top quality settings named xhigh and max.
GPT-6 Luna Decisions does not write text. You send content as text, a table of data or a picture, plus up to 200 named questions of three kinds: yes or no, pick among options, or grade against an ordered scale. It returns a probability for every answer, with the likeliest option or expected score, so your own system can set its thresholds for routing, moderation or marking.
Text Embedding 3 Large turns text of up to about 8 pages into a fingerprint of its meaning, so search finds passages that mean the same thing even when the words differ. It is the most accurate of OpenAI's models of this kind, in English and other languages. Choose it when the quality of matches matters most, for search, grouping or labelling documents.
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.
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