Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtSaba
by MistralReleased 17 February 2025
Mistral's 24B regional model for the Middle East and South Asia, trained on curated regional data to answer in Arabic and in Indian languages such as Tamil and Malayalam, with tool calls and file input
What it costs
You pay for what each request uses. No subscription, no minimum.
One message, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 66,57 DA | 199,70 DA |
| Cached tokens read | 6,66 DA |
per 1M tokens
- When you pay
- After the answer, from your balance. Nothing is held.
- Why it varies
- A longer question or a longer answer costs more.
- 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. DA per 1M tokens: ↑ what you send · ↓ what comes back.
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.
See it in action
Real requests, real replies. Try any of them yourself — one click, pre-filled.
Two lines to welcome a shop in Oran.
Welcome to our new shop in Oran — fresh bread every morning, and coffee the way the city likes it. Come in, the first cup is on us.
Try in Chat LabTry your own request — same model, pre-selected.
Open Chat LabCall 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"],
)
resp = client.chat.completions.create(
model="mistralai/mistral-saba",
messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)
print(resp.choices[0].message.content)Runs this request once on your balance.
Parameters you can send
Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.
Shaping the reply
How long, how varied, where to stop.
max_tokenstemperaturetop_pstopseedfrequency_penaltypresence_penaltyStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsTools
Let the model call your functions.
toolstool_choiceQuestions about Saba
How much does Saba cost in dinars?
About 0,17 DA per message. ↑ 66,57 DA · ↓ 199,70 DA per 1M tokens.
Is Saba 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 Saba best for?
Mistral's 24B regional model for the Middle East and South Asia, trained on curated regional data to answer in Arabic and in Indian languages such as Tamil and Malayalam, with tool calls and file input.
How do I pay for Saba without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Saba included, is paid from that balance. No foreign card, no conversion.
Does Saba work in Arabic, French or Darja?
Mistral says it supports Arabic and many Indian-origin languages, Tamil and Malayalam among them. French and Darja are not named.
Can it read PDFs, images or a whole book?
It reads text and PDFs. Up to 33K tokens in one request, about 32 pages. It writes up to 20 000 words at once.
Is Saba open source?
No. Mistral has not published its weights.
Who makes Saba, and when was it released?
Mistral. Released 17 February 2025. It knows the world up to 30 September 2024.
Other Mistral models, priced in dinars
See all Mistral modelsMistral's flagship speech-to-text model that turns audio into transcripts with word timestamps and speaker labels, with context biasing for domain-specific vocabulary
The Voxtral Mini derivative that only transcribes, taking audio from meetings, voice notes and podcasts and returning the text through a standard transcription request
Mistral's compact speech-to-text model that turns audio into transcripts with word timestamps and speaker labels, and can be steered with context biasing to catch domain terms
Mistral AI's text embedding model from late 2023, whose 1024-dimension vectors capture how passages relate, for semantic search and RAG; Codestral Embed is the version for code