Mistral Large
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/). It supports dozens of languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with 80+ coding languages including Python, Java, C, C++, JavaScript, and Bash. Its long context window allows precise information recall from large documents.
mistralai/mistral-large
- Contexto
- 128k tokens
- Máx. completion
- —
- Tools
- Sí
- JSON
- Sí
- Lanzamiento
- 2024-02-26
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-large",
"messages": [{"role": "user", "content": "Hola"}]
}'Consigue tu API keyPreguntas frecuentes
- ¿Qué es Mistral Large?
- This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/). It supports dozens of languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with 80+ coding languages including Python, Java, C, C++, JavaScript, and Bash. Its long context window allows precise information recall from large documents. Mistral Large corre en el API de Geek Hub (compatible con OpenAI). Id: mistralai/mistral-large.
- ¿Mistral Large es gratis?
- No. El input cuesta $2.1801 / 1M tokens y el output $6.5404 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Mistral Large?
- Mistral Large tiene una ventana de 128k tokens.
- ¿Mistral Large soporta tool calling y structured outputs?
- Mistral Large acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
- ¿Cuándo se lanzó Mistral Large?
- Mistral Large se lanzó el 26 de febrero de 2024.
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