DeepSeek: DeepSeek V4 Flash 0423 在 NextModel 中是什么？
DeepSeek: DeepSeek V4 Flash 0423 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 $0.017 / 1M tokens、输出 $0.035 / 1M tokens 每 100 万 token，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-flash。
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-flash",
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-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...
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 Flash 0423
常见问题