Mistral Medium 3.5

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.

ChatMistral262k tokens$1.6351 / $8.1754 · 1M

mistralai/mistral-medium-3-5

Contexto
262k tokens
Máx. completion
Tools
JSON
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",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
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Preguntas frecuentes

¿Qué es Mistral Medium 3.5?
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 corre en el API de Geek Hub (compatible con OpenAI). Id: mistralai/mistral-medium-3-5.
¿Mistral Medium 3.5 es gratis?
No. El input cuesta $1.6351 / 1M tokens y el output $8.1754 / 1M tokens en Geek Hub (markup incluido).
¿Cuál es el contexto de Mistral Medium 3.5?
Mistral Medium 3.5 tiene una ventana de 262k tokens.
¿Mistral Medium 3.5 soporta tool calling y structured outputs?
Mistral Medium 3.5 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?
Mistral Medium 3.5 se lanzó el 30 de abril de 2026.

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