All models
openai

Text Embedding 3 Large

Vendor key
Try in Playground

Text Embedding 3 Large is OpenAI's most capable embedding model for both English and non-English tasks. Embeddings are numerical representations of text used to measure relatedness, and they are useful for search, clustering, recommendations, anomaly detection and classification. It serves the Embeddings endpoint and is the larger of the two version 3 models.

The real OpenAI model

Same weights, same API, same answers. We change only how you pay for it: one key for every maker, one bill, no separate account to open. Every figure on this page comes from OpenAI’s own page — check it.

Maker's own page

Price

per 1M tokens

Input

Output

$0.13

$0.00

Context

8,191

Modalities

What it would cost you

1000 tokens is roughly 750 English words.

Estimated total$0.26

Where this model runs

openai
OpenAI

Similar models

Models built for the same kind of work, at a similar price.

openai
openai/text-embedding-ada-002$0.10 / $0.00
gcp_vertex
gemini-embedding-2$0.20 / $0.00

We do not mark up the price of tokens. It is the same price the provider charges. We earn on the top-up fee.

Use it from your code

Model:openai/text-embedding-3-large
main.py
OpenAI Specification v1.0
from openai import OpenAI

# Works with the official openai package (pip install openai)
client = OpenAI(
    base_url="https://api.flintbeam.com/v1",
    api_key="sk-live-your-api-key"
)

response = client.chat.completions.create(
    model="openai/text-embedding-3-large",
    messages=[
        {"role": "system", "content": "You are an experienced software engineer."},
        {"role": "user", "content": "Describe the architecture of a distributed cache."}
    ],
    temperature=0.7,
    max_tokens=1500
)

print(response.choices[0].message.content)