OpenAI: Text Embedding 3 Large

openai/text-embedding-3-large

8KContext Window

Supported Protocols:seedmax_tokensresponse_formatstructured_outputstemperaturetop_pstopfrequency_penaltypresence_penaltylogit_biaslogprobstop_logprobs

Online

text-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks.

Capabilities

Text EmbeddingSimilarity Search

Technical Specs

Input Modality

Text

Output Modality

Text

Arch

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Pricing

Pay per use, no monthly fees

Input Token< ¥0.001/1K Token

Output Token< ¥0.001/1K Token

Quick Start

from openai import OpenAI

client = OpenAI(
    base_url="https://api.uniontoken.ai/v1",
    api_key="YOUR_UNIONTOKEN_API_KEY",
)

response = client.chat.completions.create(
    model="openai/text-embedding-3-large",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

print(response.choices[0].message.content)