MiniMax: MiniMax M1 在 NextModel 中是什么？
MiniMax: MiniMax M1 是 NextModel 目录中的 MiniMax 模型，常用于 中文问答、general chat 工作负载。当前展示价格为输入 $0.075 / 1M tokens、输出 $0.414 / 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 minimax--minimax-m1。
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="minimax/minimax-m1",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)相似替代项
MiniMax目录
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
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)
MiniMax目录
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...
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)
MiniMax目录
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
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