LLM Reference
OpenAI API

Using text-embedding-3-small on OpenAI API

Implementation guide · text-embedding-3 · OpenAI

Serverless

OpenAI API exposes text-embedding-3-small through model ID text-embedding-3-small. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-16. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenAI API and generate an API key.
  2. 2
    Use the OpenAI API SDK or REST API to call text-embedding-3-small — see the documentation for request format.
  3. 3
    You'll be billed $0.02/1M input. See full pricing.

Code Examples

Install
pip install openai
API key
OPENAI_API_KEY
Model ID
text-embedding-3-small

Use the model slug directly, e.g. "gpt-4o" or "gpt-4.1-mini".

import os
from openai import OpenAI

client = OpenAI()  # reads OPENAI_API_KEY from env
response = client.chat.completions.create(
    model="text-embedding-3-small",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on OpenAI API

TypePrice (per 1M)
Input tokens$0.02

Capabilities

No model capability flags are currently sourced.

About text-embedding-3-small

OpenAI's efficient text embedding model with 1536 output dimensions. Higher performance than text-embedding-ada-002 at lower cost.

Model Specs

Released2024-01-25
Context8k
Knowledge cutoff2021-09

Provider

OpenAI API
OpenAI API

OpenAI

San Francisco, California, United States