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MA CHAIN · 20260131
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OpenAI: Text Embedding 3 Small

Origin
openai/text-embedding-3-small

text-embedding-3-small is OpenAI's improved, more performant version of the ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces...

Pricing
Input · 0.024 MA / 1M tokens

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Call it

Embedding models are served on POST /v1/embeddings, with the same request and response shape as OpenAI's Embeddings API. input is a string or an array of strings, and each input gets one vector back.

curl https://macdecloud.com/v1/embeddings \
  -H "Authorization: Bearer dcld-sk-..." \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/text-embedding-3-small","input":["first text","second text"]}'

Python (OpenAI SDK)

The official OpenAI SDK works as is; just point base_url at deCloud.

from openai import OpenAI

client = OpenAI(base_url="https://macdecloud.com/v1", api_key="dcld-sk-...")
resp = client.embeddings.create(model="openai/text-embedding-3-small", input=["first text", "second text"])
print(len(resp.data), len(resp.data[0].embedding))
OpenAI: Text Embedding 3 Small (ORIGIN) · deCloud