Text Embedding 3 Small
−30% vs OpenAI
AzureOpenAIText Embedding 3 Small is an improved, more performant version of OpenAI's ada embedding model. Embeddings are numerical representations of text used to measure relatedness, and they are useful for search, clustering, recommendations, anomaly detection and classification. It is the smaller of the two version 3 embedding 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 pagePrice
input / output · per 1M tokensThe same model and the same answers through both. We choose the service for each request automatically.
Azure
−30%Only on FlintBeam−30% on every request
Direct on Azure: $0.02 / $0.00
Daily discount. Today's price can change.
OpenAI
−30%Only on FlintBeam−30% on every request
Direct on OpenAI: $0.02 / $0.00
Daily discount. Today's price can change.
Context
8,191
Modalities
What it would cost you
1000 tokens is roughly 750 English words.
How it is served
Requests are retried automatically if a provider is unavailable.
Eligible models may have a daily discount below the maker's price. Daily discounts apply to eligible models and can change from day to day.
Use it from your code
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-small",
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)