text-embedding-3-large
不可用openai · 嵌入
High-accuracy text embeddings for search, clustering, and retrieval. Supports shortened dimensions for cheaper storage.
上下文窗口8.2K
输入 / 1M$0.13
缓存 / 1M—
输出 / 1M—
调用此模型
from openai import OpenAI
client = OpenAI(
base_url="https://api.tokener.ai/v1",
api_key="sk-tk-••••••••••••",
)
response = client.responses.create(
model="text-embedding-3-large",
input="Explain retrieval augmented generation.",
)