DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching up to 128K tokens, and uses FP8 microscaling for efficient inference. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. Learn more in our docs The model improves tool use, code generation, and reasoning efficiency, achieving performance comparable to DeepSeek-R1 on difficult benchmarks while responding more quickly. It supports structured tool calling, code agents, and search agents, making it suitable for research, coding, and agentic workflows. It succeeds the [DeepSeek V3-0324](/deepseek/deepseek-chat-v3-0324) model and performs well on a variety of tasks.

ChatDeepSeek164k tokens$0.5995 / $1.7986 · 1M

deepseek/deepseek-chat-v3.1

Contexto
164k tokens
Máx. completion
161,000
Tools
Sí
JSON
Sí
Lanzamiento
2025-08-21

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": "deepseek/deepseek-chat-v3.1",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Consigue tu API key

Preguntas frecuentes

¿Qué es DeepSeek V3.1?
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching up to 128K tokens, and uses FP8 microscaling for efficient inference. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. Learn more in our docs The model improves tool use, code generation, and reasoning efficiency, achieving performance comparable to DeepSeek-R1 on difficult benchmarks while responding more quickly. It supports structured tool calling, code agents, and search agents, making it suitable for research, coding, and agentic workflows. It succeeds the [DeepSeek V3-0324](/deepseek/deepseek-chat-v3-0324) model and performs well on a variety of tasks. DeepSeek V3.1 corre en el API de Geek Hub (compatible con OpenAI). Id: deepseek/deepseek-chat-v3.1.
¿DeepSeek V3.1 es gratis?
No. El input cuesta $0.5995 / 1M tokens y el output $1.7986 / 1M tokens en Geek Hub (markup incluido).
¿Cuál es el contexto de DeepSeek V3.1?
DeepSeek V3.1 tiene una ventana de 164k tokens. Soporta hasta 161,000 tokens de completion.
¿DeepSeek V3.1 soporta tool calling y structured outputs?
DeepSeek V3.1 acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
¿Cuándo se lanzó DeepSeek V3.1?
DeepSeek V3.1 se lanzó el 21 de agosto de 2025.

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