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OpenAI · Embeddings

text-embedding-3-small API in Australia

Low-cost embeddings for search, recommendations and finding duplicates. Priced in Australian dollars for teams in Australia, on the same key as every other model.

PriceA$0.0303per 1M tokens
Batch inputA$0.0151per 1M tokens
BillingOne bill, in AUDwith every other model

text-embedding-3-small API pricing in Australia

PriceA$0.0303 per 1M tokens · $0.0206
Batch inputA$0.0151 per 1M tokens · $0.0103
Batch outputFree per 1M tokens · Free

In Australian dollars, the currency your card is charged in, with the published US dollar rate beside each.

Every rate is published and stays the same from one request to the next. See every model.

Prices are our published US dollar rates converted at A$1.47 to the dollar, our rate for October — the same rate your card is charged.

About text-embedding-3-small

text-embedding-3-small is the inexpensive half of OpenAI’s embedding pair. It produces 1,536 numbers per text — the same size as the older ada-002, so it drops into an existing search index — and beats ada-002 on both the MTEB benchmark (62.3% against 61.0%) and multilingual search.

For English-language search and recommendations it is close enough to the large model that the saving usually wins. Where documents are in several languages, the large model’s lead is wide enough to be worth paying for.

What is text-embedding-3-small good for?

  • Semantic search and retrieval on a budget.
  • Finding duplicates and grouping similar items.
  • Recommendations.

Where to be careful

  • Noticeably weaker than text-embedding-3-large on multilingual search.
  • Each piece of text can be at most 8,192 tokens.

Specs

Made byOpenAI
ReleasedJanuary 2024
TypeEmbeddings
Context window8K tokens
ReadsText
WeightsClosed
Processed inGlobal
Model idtext-embedding-3-small

Using text-embedding-3-small from Australia

Roar AI provides access to text-embedding-3-small through the Roar AI gateway, charged in Australian dollars on one bill with every other model. Requests from Australia go through our gateway in Singapore today; a gateway in Sydney is coming. Developers can use text-embedding-3-small alongside other supported models without a separate integration for every provider.

Use the OpenAI SDK you already have — point it at Roar AI and name the model. Read the docs.

from openai import OpenAI

client = OpenAI(base_url="https://api.roar-ai.com/v1", api_key="roar_live_…")

vectors = client.embeddings.create(
    model="text-embedding-3-small",
    input=["Quarterly sales report, western province"],
)

Where is text-embedding-3-small processed?

Requests to text-embedding-3-small are processed on international infrastructure, outside Australia. The model directory says where each model is processed.

Questions

How much does text-embedding-3-small cost in Australia?

Price is A$0.0303 per 1M tokens; batch input is A$0.0151 per 1M tokens. Prices are our published US dollar rates converted at A$1.47 to the dollar, our rate for October — the same rate your card is charged. The rate is published and does not change from one request to the next.

Is text-embedding-3-small open source?

No. OpenAI does not publish the weights, so it is only available through an API like this one.

Try text-embedding-3-small
on one key

Sign up, get a key and call it with the SDK you already use. Pay in your local currency, on one bill.