Text Embedding 3 Large

Embeddings

text-embedding-3-large

OpenAI|Created May 25, 2025

Embeddings

Text-Embedding-3-Large is OpenAI’s most capable embedding model, supporting both English and non-English text tasks. It produces high-dimensional embeddings (up to 3072 dimensions) for advanced semantic similarity, search, and clustering, and allows flexible trade-offs between performance and resource usage.

Overview Specifications Activity Performance Uptime Examples

Pricing-50%

Pay-as-you-go rates for this model. More details can be found here.

Tokens (1M)

$0.04

Capabilities

Input Modalities

Text

Output Modalities

Embeddings

Supported Parameters

Available parameters for API requests

Dimensions

Usage Analytics

Token usage of this model on our platform

Throughput

Not enough throughput data

Time-To-First-Token (TTFT)

Not enough TTFT data

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

client = OpenAI(base_url="https://api.naga.ac/v1", api_key="YOUR_API_KEY")

resp = client.embeddings.create(
    model="text-embedding-3-large",
    input=[
        "The food was delicious!",
        "Service could be faster."
    ],
)
print(resp)