DeepSeek: DeepSeek V3.1

由 DeepSeek 提供

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](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config) 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.

支持流式输出最大 164K tokens

模型特性

输入模态

  • text

模型参数

最大 Tokens:164K
默认温度:0.7
流式输出:支持

定价信息

积分定价

文本输入:260 积分
图片输入:0 积分
消息输出:0 积分

API 定价

输入价格:$0.200/1K tokens
输出价格:$0.800/1K tokens

使用示例

API 调用示例
curl -X POST "https://chat.chatsking.com/api/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "deepseek-v3.1",
    "messages": [
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    "max_tokens": 1000,
    "temperature": 0.7
  }'