OpenAI: Text Embedding 3 Small
Embeddingopenai/text-embedding-3-smalltext-embedding-3-small is OpenAI's improved, more performant version of the ada embedding model. 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 | $0.02/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-small",input="Hello, world!",)print(response.data[0].embedding[:5])
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Frequently Asked Questions
OpenAI: Text Embedding 3 Small on Ofox.ai costs $0.02/M per million input tokens and $0 per million output tokens. Pay-as-you-go, no monthly fees.
OpenAI: Text Embedding 3 Small 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.