MiniMax: MiniMax-01 在 NextModel 中是什么？
MiniMax: MiniMax-01 是 NextModel 目录中的 MiniMax 模型，常用于 图像理解、multimodal chat 工作负载。当前展示价格为输入 $0.038 / 1M tokens、输出 $0.208 / 1M tokens 每 100 万 token，上下文窗口为 1M token。
适用场景
- 图像理解
- multimodal 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-01。
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-01",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)相似替代项
MiniMax目录
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
适用场景图像理解, multimodal chat
路由已配置
流式输出工具调用JSON 模式视觉
平台整理NextModel gateway catalog (Go origin)
MiniMax目录
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
适用场景中文问答, general chat
路由已配置
流式输出工具调用长上下文
平台整理NextModel gateway catalog (Go origin)
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)
常见问题