Mistral Large 3 2512 (batch)
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
mistralai/mistral-large-2512:batch
- Contexto
- 262k tokens
- Máx. completion
- 209,715
- Tools
- Sí
- JSON
- Sí
- Lanzamiento
- 2025-12-01
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-2512:batch",
"messages": [{"role": "user", "content": "Hola"}]
}'Preguntas frecuentes
- ¿Qué es Mistral Large 3 2512 (batch)?
- Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license. Mistral Large 3 2512 (batch) corre en el API de Geek Hub (compatible con OpenAI). Id: mistralai/mistral-large-2512:batch.
- ¿Mistral Large 3 2512 (batch) es gratis?
- No. El input cuesta $0.545 / 1M tokens y el output $1.6351 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Mistral Large 3 2512 (batch)?
- Mistral Large 3 2512 (batch) tiene una ventana de 262k tokens. Soporta hasta 209,715 tokens de completion.
- ¿Mistral Large 3 2512 (batch) soporta tool calling y structured outputs?
- Mistral Large 3 2512 (batch) acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
- ¿Cuándo se lanzó Mistral Large 3 2512 (batch)?
- Mistral Large 3 2512 (batch) se lanzó el 1 de diciembre de 2025.
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