Mistral
Released February 17, 2025Cutoff September 2024

Mistral Saba

Mistral Saba is a regional language model from Mistral AI, trained on curated Middle East and South Asia datasets, with Arabic and Tamil language support.

Inputs
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File
Outputs
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Model Overview

Capabilities, design details, and architectural traits

Mistral Saba - Specialized Regional Language Model for Middle East & South Asia

Mistral Saba is Mistral AI's first specialized regional language model. Its defining identity is not general-purpose multilingualism but custom training on meticulously curated datasets from the Middle East and South Asia a deliberate departure from general-purpose model design.

Regional Training Design

Mistral explicitly positions Saba as addressing the gap where larger general-purpose models are proficient in regional languages but lack linguistic nuances, cultural background, and in-depth regional knowledge. The model was developed in close collaboration with strategic regional customers to address specific enterprise use cases in Arabic-language and South Asian contexts.

Fine-Tuning Base

Officially documented as a strong base for training highly specific regional adaptations, particularly for domains such as energy, financial markets, and healthcare within Arabic and South Asian language and cultural contexts.

Documented Use Cases

  • Conversational support: Real-time Arabic virtual assistants
  • Domain-specific expertise: Fine-tuning for energy, finance, and healthcare sectors in regional language contexts
  • Cultural content creation: Generating content that understands local idioms and cultural references for Middle Eastern audiences

Benchmark Performance

Independent evaluations · Artificial Analysis

6.5%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science42.4%
Humanity's Last Exam4.3%
SciCode - Scientific Coding24.1%

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Model Details
General Info
ProviderMistralAnthropicAnthropic
Release DateFebruary 17, 2025September 22, 2026September 28, 2026
Knowledge CutoffSep 2024-Jun 2026
Context & Limits
Context Window33K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
Free
Best Input Pricing
$4$2
Output Pricing
Free
Best Output Pricing
$20$10
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index6.5
57.6
Best Intelligence Index
56.0
Coding Index---
Agentic Index---
Mistral Saba
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

4%
Mistral Saba
Humanity's Last Exam
Score: 4%
Mistral Saba
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

24%
Mistral Saba
SciCode Benchmark
Score: 24%
Mistral Saba
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

N/A
Mistral Saba
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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