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
- Contexto
- 33k tokens
- Máx. completion
- —
- Tools
- Sí
- JSON
- Sí
- Lanzamiento
- 2025-02-17
Llámalo desde Geek Hub
El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.
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"}]
}'Consigue tu API keyPreguntas frecuentes
- ¿Qué es 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 corre en el API de Geek Hub (compatible con OpenAI). Id: mistralai/mistral-saba.
- ¿Saba es gratis?
- No. El input cuesta $0.218 / 1M tokens y el output $0.654 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Saba?
- Saba tiene una ventana de 33k tokens.
- ¿Saba soporta tool calling y structured outputs?
- Saba acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
- ¿Cuándo se lanzó Saba?
- Saba se lanzó el 17 de febrero de 2025.
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