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  4. Mistral Saba
Mistral
Released February 17, 2025Cutoff September 2024

Mistral Saba

Mistral Saba is a 24B regional language model trained on Middle East and South Asia datasets, with Arabic, Tamil, and single-GPU local deployment support.

Visit MistralAnnouncement
Inputs
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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, released February 17, 2025. 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. At 24B parameters, it is documented to outperform models more than five times its size on regional language benchmarks.

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

6.2%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science42.4%
Humanity's Last Exam4.3%
SciCode - Scientific Coding24.1%
Specs
Context window
33Ktokens

Prices in USD.

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderMistralAnthropicAnthropic
Release DateFebruary 17, 2025July 24, 2026June 9, 2026
Knowledge CutoffSep 2024May 2026-
Context & Limits
Context Window33K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
Free
Best Input Pricing
$5$10
Output Pricing
Free
Best Output Pricing
$25$50
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index6.2
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
Mistral Saba
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

42%
Mistral Saba
GPQA Benchmark
Score: 42%
Mistral Saba
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

4%
Mistral Saba
Humanity's Last Exam
Score: 4%
Mistral Saba
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

SciCode Benchmark

Scientific coding and mathematical modeling.

24%
Mistral Saba
SciCode Benchmark
Score: 24%
Mistral Saba
56%
Claude Opus 5
SciCode Benchmark
Score: 56%
Claude Opus 5
60%
Claude Fable 5
SciCode Benchmark
Score: 60%
Claude Fable 5

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

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