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)
mistralai/mistral-saba
- Context
- 33k tokens
- Completion cap
- —
- Tools
- Yes
- JSON
- Yes
- Released
- 2025-02-17
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/mistral-saba",
"messages": [{"role": "user", "content": "Hola"}]
}'Frequently asked questions
- What is 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) Saba runs on the Geek Hub API (OpenAI-compatible). Model id: mistralai/mistral-saba.
- Is Saba free?
- No. Input is $0.218 per 1M tokens and output is $0.654 per 1M tokens on Geek Hub (markup included).
- What is the context length of Saba?
- Saba has a 33k tokens context window.
- Does Saba support tool calling and structured outputs?
- Saba accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Saba released?
- Saba was released on 2025-02-17.
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