DeepSeek: DeepSeek V3.1 在 NextModel 中是什么？
DeepSeek: DeepSeek V3.1 是 NextModel 目录中的 DeepSeek 模型，常用于 中文问答、general chat 工作负载。当前展示价格为输入 $0.041 / 1M tokens、输出 $0.149 / 1M tokens 每 100 万 token，上下文窗口为 163.8k token。
适用场景
- 中文问答
- general chat
OpenAI 兼容调用示例
保持 OpenAI SDK 调用方式不变，把 base_url 改为 NextModel，并使用模型目录 ID deepseek--deepseek-chat-v3.1。
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="deepseek/deepseek-chat-v3.1",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)相似替代项
DeepSeek目录
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
适用场景中文问答, general chat
路由已配置
流式输出工具调用JSON 模式长上下文
平台整理NextModel gateway catalog (Go origin)
DeepSeek目录
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...
适用场景中文问答, general chat
路由已配置
流式输出工具调用JSON 模式长上下文
平台整理NextModel gateway catalog (Go origin)
DeepSeek目录
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
适用场景中文问答, general chat
路由已配置
流式输出工具调用JSON 模式长上下文
平台整理NextModel gateway catalog (Go origin)
常见问题