OpenAI: Text Embedding 3 Large
Embeddingopenai/text-embedding-3-largetext-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.
8K context window
8K max output tokens
Released: 2025-10-30
Supported Protocols:openai
Available Providers:Azure
Pricing
| Type | Price |
|---|---|
| Input Tokens | $0.13/M |
| Output Tokens | $0/M |
Code Examples
from openai import OpenAIclient = OpenAI(base_url="https://api.ofox.ai/v1",api_key="YOUR_OFOX_API_KEY",)response = client.embeddings.create(model="openai/text-embedding-3-large",input="Hello, world!",)print(response.data[0].embedding[:5])
Related Models
Frequently Asked Questions
OpenAI: Text Embedding 3 Large on Ofox.ai costs $0.13/M per million input tokens and $0 per million output tokens. Pay-as-you-go, no monthly fees.
OpenAI: Text Embedding 3 Large supports a context window of 8K tokens with max output of 8K tokens, allowing you to process large documents and maintain long conversations.
Simply set your base URL to https://api.ofox.ai/v1 and use your Ofox API key. The API is OpenAI-compatible — just change the base URL and API key in your existing code.