Mistral Nemo

Name: Mistral: Mistral Nemo
Brand: Mistral
Price: 9.65 DZD
Availability: InStock

by MistralReleased 19 July 2024

A 12B model made by Mistral with NVIDIA, released under Apache 2.0, that chats and calls functions in 11 languages such as French, Arabic and Hindi over a 128K context

TakesText

GivesText

Open in chat Create API key Compare

What it can do

From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.

Strongest at

#5CheapestAmong 424 Text models
Top 30 %Starts the soonestAmong 424 Text models

Yes or no

Thinks first No.
Works through the problem before it answers.
Uses your tools
Can call functions your code provides.
Fills your JSON
Answers in the JSON shape you give it.
Searches the web No.
Can look things up online while it answers.
Cheaper on repeats No.
A prompt it saw a moment ago costs less the second time.
Open weights
The model's weights are public.
Knows events up to 30 Apr 2024
What it learned stops at this date.

Jobs it takes on

Answer customers in Arabic or French
Run an agent that calls a lookup tool
Uses your tools
Return extracted fields as JSON
Fills your JSON

What it costs

You pay for what each request uses. No subscription, no minimum.

≈ 0,015 DA per message3 000 DA buys about 200 000 messages

One message, the ordinary use

1 000 tokens sent× 9,65 DA per 1M0,0097 DA

500 tokens back× 9,99 DA per 1M0,0050 DA

Total≈ 0,015 DA

Every rate

Meter	↑ you send	↓ comes back
Text tokens	9,65 DA	9,99 DA

per 1M tokens

Answer a quick question≈ 0,0039 DA

Reply to a customer email≈ 0,0098 DA

Write a one-page draft≈ 0,012 DA

Translate a full page of text≈ 0,015 DA

Summarise a 20-page report≈ 0,14 DA

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.

DepositDeposits from 50 DA, with Edahabia or CIB.

Where your request runs

Five 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. DA per 1M tokens: ↑ what you send · ↓ what comes back.

Io Net28 % off…

↑ Sent, per 1M

~~Was 7,65~~5,51 DA

↓ Back, per 1M

~~Was 9,99~~7,19 DA

Cache read

~~Was 4,99~~3,59 DA

Latency

…

Throughput

…

DekaLLMAsia…

↑ Sent, per 1M

5,99 DA

↓ Back, per 1M

9,99 DA

Cache read

none

Latency

…

Throughput

…

DeepInfraUnited States…

↑ Sent, per 1M

9,65 DA

↓ Back, per 1M

9,99 DA

Cache read

none

Latency

…

Throughput

…

Parasail…

↑ Sent, per 1M

9,99 DA

↓ Back, per 1M

9,99 DA

Cache read

none

Latency

…

Throughput

…

MistralEurope…

↑ Sent, per 1M

49,93 DA

↓ Back, per 1M

49,93 DA

Cache read

4,99 DA

Latency

…

Throughput

…

Provider	↑ Sent	↓ Back	Cache read	Latency	Throughput	Uptime
Io Net28 % off	~~Was 7,65~~5,51 DA	~~Was 9,99~~7,19 DA	~~Was 4,99~~3,59 DA	…	…	…
DekaLLMAsia	5,99 DA	9,99 DA	none	…	…	…
DeepInfraUnited States	9,65 DA	9,99 DA	none	…	…	…
Parasail	9,99 DA	9,99 DA	none	…	…	…
MistralEurope	49,93 DA	49,93 DA	4,99 DA	…	…	…

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.

Structured output

You send

Turn this customer email into JSON with intent, urgency and order_id.

customer-email.txt

It replied

{ "intent": "refund", "urgency": "high", "order_id": "OD-58421" }

Try in Chat Lab

Writing

You send

Two lines to welcome a shop in Oran.

It replied

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 Lab

Try your own request — same model, pre-selected.

Open Chat Lab

Call it in code

Swap the base URL and the key. Your OpenAI code runs unchanged.

POST /v1/chat/completions

Base URL

https://opendunes.com/v1

Model ID

mistralai/mistral-nemo

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-nemo",
    messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)

print(resp.choices[0].message.content)

pip install openaiFull reference for this route

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_ptop_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_penaltylogit_biaslogprobstop_logprobs

Structured output

Get JSON you can parse instead of prose.

response_formatstructured_outputs

Tools

Let the model call your functions.

toolstool_choice

Questions about Mistral Nemo

How much does Mistral Nemo cost in dinars?
About 0,015 DA per message. ↑ 9,65 DA · ↓ 9,99 DA per 1M tokens.
Is Mistral Nemo 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 Mistral Nemo best for?
A 12B model made by Mistral with NVIDIA, released under Apache 2.0, that chats and calls functions in 11 languages such as French, Arabic and Hindi over a 128K context.
How do I pay for Mistral Nemo without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Mistral Nemo included, is paid from that balance. No foreign card, no conversion.
Does Mistral Nemo work in Arabic, French or Darja?
Mistral names English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic and Hindi. Darja is not named.
Can it read PDFs, images or a whole book?
It reads text. Up to 131K tokens in one request, about 130 pages. It writes up to 12 000 words at once.
Is Mistral Nemo open source?
Yes, its weights are public. Open weights on Hugging Face
Who makes Mistral Nemo, and when was it released?
Mistral. Released 19 July 2024. It knows the world up to 30 April 2024.

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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

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≈0,033 DAper page

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Mistral Nemo

What it can do

Strongest at

Yes or no

Jobs it takes on

What it costs

Where your request runs

See it in action

Call it in code

Parameters you can send

Questions about Mistral Nemo

How much does Mistral Nemo cost in dinars?

Is Mistral Nemo free? Can I try it?

What is Mistral Nemo best for?

How do I pay for Mistral Nemo without an international card?

Does Mistral Nemo work in Arabic, French or Darja?

Can it read PDFs, images or a whole book?

Is Mistral Nemo open source?

Who makes Mistral Nemo, and when was it released?

Other Mistral models, priced in dinars

What it can do

Strongest at

Yes or no

Jobs it takes on