MiniMax M2.7 在 NextModel 中是什麼？
香港團隊可用的 NextModel 目錄中的 MiniMax 模型，常用於 中文問答、general chat 工作負載。當前展示價格為輸入 $0.048 / 1M tokens、輸出 $0.188 / 1M tokens 每 100 萬 token，上下文視窗為 204.8k token。
適用場景
- 中文問答
- general chat
OpenAI 相容呼叫範例
保持 OpenAI SDK 呼叫方式不變，把 base_url 改為 NextModel，並使用模型目錄 ID minimax--minimax-m2.7。
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-m2.7",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)相似替代項
MiniMax目錄
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,...
適用場景中文問答, general chat
路由已設定
串流輸出工具呼叫JSON 模式長上下文
平台整理NextModel gateway catalog (Go origin)
MiniMax目錄
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...
適用場景中文問答, general chat
路由已設定
串流輸出工具呼叫JSON 模式長上下文
平台整理NextModel gateway catalog (Go origin)
MiniMax目錄
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...
適用場景中文問答, general chat
路由已設定
串流輸出工具呼叫JSON 模式長上下文
平台整理NextModel gateway catalog (Go origin)
常見問題