DeepSeek: DeepSeek V4 Pro 0813 在 NextModel 中是什么？
DeepSeek: DeepSeek V4 Pro 0813 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 $1.33 / 1M tokens、输出 $3.98 / 1M tokens，上下文窗口为 1M 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-v4-pro-0813。
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-v4-pro-0813",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)相似替代项
DeepSeek目录
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
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 V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
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 V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
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)
对比 DeepSeek: DeepSeek V4 Pro 0813
DeepSeek: DeepSeek V4 Pro 0813 对比 DeepSeek: DeepSeek V4 Flash 0423DeepSeek: DeepSeek V4 Pro 0813 对比 DeepSeek: DeepSeek V4 Flash 0731DeepSeek: DeepSeek V4 Pro 0813 对比 DeepSeek: DeepSeek V4 Pro 0423DeepSeek: DeepSeek V4 Pro 0813 对比 MiniMax: MiniMax M2.5DeepSeek: DeepSeek V4 Pro 0813 对比 Qwen: Qwen3.8 Max
参考
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