Mistral Medium 3.5 (batch)
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi-step reasoning. It is particularly strong at reliable multi-tool calling and long-horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self-hostable on as few as four GPUs and available under open weights.
mistralai/mistral-medium-3-5:batch
- Contexto
- 262k tokens
- Máx. completion
- 209,715
- Tools
- Sí
- JSON
- Sí
- Lanzamiento
- 2026-04-30
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-medium-3-5:batch",
"messages": [{"role": "user", "content": "Hola"}]
}'Preguntas frecuentes
- ¿Qué es Mistral Medium 3.5 (batch)?
- Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi-step reasoning. It is particularly strong at reliable multi-tool calling and long-horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self-hostable on as few as four GPUs and available under open weights. Mistral Medium 3.5 (batch) corre en el API de Geek Hub (compatible con OpenAI). Id: mistralai/mistral-medium-3-5:batch.
- ¿Mistral Medium 3.5 (batch) es gratis?
- No. El input cuesta $0.8175 / 1M tokens y el output $4.0877 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Mistral Medium 3.5 (batch)?
- Mistral Medium 3.5 (batch) tiene una ventana de 262k tokens. Soporta hasta 209,715 tokens de completion.
- ¿Mistral Medium 3.5 (batch) soporta tool calling y structured outputs?
- Mistral Medium 3.5 (batch) acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
- ¿Cuándo se lanzó Mistral Medium 3.5 (batch)?
- Mistral Medium 3.5 (batch) se lanzó el 30 de abril de 2026.
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