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Mistral · Open weights

Mistral Saba

Added Jan 1, 2024Open weights

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Use in the app

Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional datasets, it supports multiple Indian-origin languages—including Tamil and Malayalam—alongside Arabic. This makes it a versatile option for a range of regional and multilingual applications.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.20
Output
$0.60

Reference prices as published by the model provider. API example

Specifications

Context window
32.8K
Max output
26.2K
Average output (7 days)
63 tokens
Longer than 6% of 465 models

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Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

6.5

Better than 5% of 326 scored models

3.8Catalog models by score55.1

Reasoning and knowledge

  • Humanity’s Last Exam

    4.3%

    Expert-level questions across academic fields

    Better than 10% of 323 scored models

  • GPQA Diamond

    42.4%

    Graduate-level science questions

    Better than 4% of 291 scored models

  • MMLU-Pro

    61.1%

    Multi-subject knowledge and reasoning

    Better than 11% of 132 scored models

Math

  • AIME

    13.0%

    Competition mathematics

    Better than 19% of 72 scored models

  • MATH-500

    67.7%

    Competition math problems

    Better than 10% of 73 scored models

Scores from Artificial Analysis, updated Oct 26, 2026.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Request success (24h)
100.0%
Reliable
Hourly request success · last 72 hoursLowest hour 100.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/mistral-saba",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="mistralai/mistral-saba",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Mistral

Other Mistral models, starting with the same family.