MiniMax-01 在 NextModel 中是什麼？
台灣團隊可用的 NextModel 目錄中的 MiniMax 模型，常用於 圖像理解、multimodal chat 工作負載。當前展示價格為輸入 $0.038 / 1M tokens、輸出 $0.208 / 1M tokens 每 100 萬 token，上下文視窗為 1M token。
適用場景
- 圖像理解
- multimodal 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-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)相似替代項
MiniMax目錄
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,...
適用場景圖像理解, multimodal chat
路由已設定
串流輸出工具呼叫JSON 模式視覺
平台整理NextModel gateway catalog (Go origin)
MiniMax目錄
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...
適用場景中文問答, general chat
路由已設定
串流輸出工具呼叫長上下文
平台整理NextModel gateway catalog (Go origin)
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)
常見問題