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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

request.py
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.",
)