Saba
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](https://mistral.ai/en/news/mistral-saba)
Context window
This model accepts 33K tokens in one request (~25K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- Won't fitLong documentAbout 37K words of text
- Won't fitSmall codebaseAbout 150K words of text
- Won't fitFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 32,768 tokens (33K)
- Speed tier
- balanced
- Provider
- Mistral
- Release date
- Feb 2025
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Tool use
- Can call external tools and APIs
- Supported
- Function calling
- Structured function call interface
- Supported
- Streaming
- Returns tokens as they are generated
- Supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Supported
- Vision
- Accepts image inputs alongside text
- Not supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Not supported
- Web search
- Can browse the web during a request
- Not supported
- Batch API
- Process many requests asynchronously
- Not supported
Best for
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Compare Saba
Open a side-by-side comparison with one click.
- Saba vs Jp Anthropic Claude Sonnet 4 6
Jp Anthropic Claude Sonnet 4 6 has 2951% larger context window
- Saba vs Amazon Titan Text Express
Amazon Titan Text Express has 28% larger context window
- Saba vs Amazon Titan Text Premier
Amazon Titan Text Premier has 28% larger context window
- Saba vs Amazon Titan Text Lite
Amazon Titan Text Lite has 28% larger context window
- Saba vs Codellama 34b Instruct
Saba has 700% larger context window
- Saba vs Codellama 70b Instruct
Saba has 700% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
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