LangMart: Mistral: Saba
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/mistralai/mistral-saba |
| Name | Mistral: Saba |
| Provider | mistralai |
| Released | 2025-02-17 |
Description
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. Read more at the blog post here
Description
LangMart: Mistral: Saba is a language model provided by mistralai. This model offers advanced capabilities for natural language processing tasks.
Provider
mistralai
Specifications
| Spec | Value |
|---|---|
| Context Window | 32,768 tokens |
| Modalities | text->text |
| Input Modalities | text |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $0.20 per 1M tokens |
| Output | $0.60 per 1M tokens |
Capabilities
- Frequency penalty
- Max tokens
- Presence penalty
- Response format
- Seed
- Stop
- Structured outputs
- Temperature
- Tool choice
- Tools
- Top p
Detailed Analysis
Mistral Saba 2502 (February 2025) is a specialized 24B parameter model designed specifically for Middle East and South Asia, trained on curated regional datasets supporting multiple Indian-origin languages (Tamil, Malayalam, Hindi, Bengali, Telugu, Urdu) alongside Arabic and English. This regional focus enables culturally-aware AI understanding local contexts, idioms, social norms, and region-specific knowledge often mishandled by global models. Saba excels at regional content creation respecting cultural nuances, customer service for MENA and South Asia markets, translation preserving cultural context, regional legal and business document analysis, and localized conversational AI. The model understands region-specific entities (companies, locations, persons), historical context, cultural references, and linguistic nuances. The February 2025 release ensures current regional knowledge and modern language patterns. Saba represents Mistral's commitment to linguistic diversity beyond English-centric models, providing enterprises serving regional markets with AI that truly understands local languages and cultures rather than merely translating global models.