Using text-embedding-3-large on OpenAI API
Implementation guide · text-embedding-3 · OpenAI
Serverless
OpenAI API exposes text-embedding-3-large through model ID text-embedding-3-large. 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
- 2Use the OpenAI API SDK or REST API to call
text-embedding-3-large— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
OPENAI_API_KEYModel ID
text-embedding-3-largeUse 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-large",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on OpenAI API
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.13 |
Capabilities
No model capability flags are currently sourced.
About text-embedding-3-large
OpenAI's most capable text embedding model with 3072 output dimensions (configurable). Supports Matryoshka representation learning for smaller embeddings with reduced quality loss.
Model Specs
Released2024-01-25
Context8k
Knowledge cutoff2021-09