Microsoft-Decision-1 reads the content you send and returns a probability for each of a fixed set of answer options instead of writing text. Use it where a pick-one call drives your app: sorting tickets, routing requests, checking an answer, or deciding whether to act, wait or flag the case for a person. It reads about 33 pages at once. It cannot chat, translate or summarize, so pair it with a text model for those jobs.
MAI-Transcribe 2
by MicrosoftReleased 3 September 2026
MAI-Transcribe 2 turns audio into a transcript in 60 languages, spots the language itself and follows speakers who switch languages mid-sentence. It adds speaker labels, word-by-word timing, keyword lists for specialist terms and a choice between word-for-word and cleaned-up text. On long recordings it runs quicker than 1.5, so pick it for meetings, calls and subtitle files, and keep 1.5 only for simple jobs without speaker labels.
What it costs
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 |
|---|---|---|
| Hour of audio | 33,28 DA |
per hour of audio sent
- When you pay
- After the answer, from your balance. Nothing is held.
- Why it varies
- The length of the audio.
- After each one
- The exact charge shows on the request.
Where your request runs
One company runs this model. OpenDunes sends every request to it.
You pay the price of the provider that served your request. Prices read 15:19 · speed over the last 30 minutes · uptime over 3 days.
Call it in code
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="microsoft/mai-transcribe-2", file=f)
print(resp.text)Runs this request once on your balance.
Questions about MAI-Transcribe 2
How much does MAI-Transcribe 2 cost in dinars?
About 0,55 DA per minute of audio. ↑ 33,28 DA per hour of audio.
Is MAI-Transcribe 2 free? Can I try it?
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
What is MAI-Transcribe 2 best for?
MAI-Transcribe 2 turns audio into a transcript in 60 languages, spots the language itself and follows speakers who switch languages mid-sentence. It adds speaker labels, word-by-word timing, keyword lists for specialist terms and a choice between word-for-word and cleaned-up text. On long recordings it runs quicker than 1.5, so pick it for meetings, calls and subtitle files, and keep 1.5 only for simple jobs without speaker labels.
MAI-Transcribe 2 or MAI-Transcribe 1.5?
MAI-Transcribe 1.5 costs 1,45 DA more for the same minute of audio.
How do I pay for MAI-Transcribe 2 without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, MAI-Transcribe 2 included, is paid from that balance. No foreign card, no conversion.
Does MAI-Transcribe 2 work in Arabic, French or Darja?
Microsoft lists 60 languages, Arabic and French among them. Darja is not named.
Does it say who spoke, and when?
Speaker labels: not stated. Word timings: not stated.
How long can a file be?
Up to 25 MB as an upload. Longer audio goes in the request body.
Who makes MAI-Transcribe 2, and when was it released?
Microsoft. Released 3 September 2026.
Other Microsoft models, priced in dinars
See all Microsoft modelsThe low-latency text-to-speech from Microsoft AI for real-time voice, producing expressive speech in 23 languages for voice agents, assistants and call centres, where the full MAI-Voice-2.1 gives up speed for fidelity
#1 for realistic voice · MAI-Voice-2 turns text into speech and returns audio, with control over tone and delivery and a way to give different lines to different speakers. It covers 15 languages in 18 regional versions and offers four ready voices: US English, Mexican Spanish, French and German. Choose it for narration, tutorials and assistants where natural delivery counts more than speed.
Microsoft AI's speech recognition for captions, call records, subtitles and accessibility, reliable across 43 languages, many accents and noisy real-world audio, faster than version 1 on long files but without speaker labels