text-embedding-3-small

OpenAI

OpenAI compact embeddings — low-cost retrieval, RAG, and clustering. On ATP Token, call it with a project key as text-embedding-3-small. List rates and credit conversion are on this page.

Modality
Embedding
Input
$0.022
USD / 1M tokens

List rates

USD list · 1 USD = 100 credits

Every completed request debits project credits at these list rates. Failed requests are not billed.

Input
$0.022
2.2 credits · USD / 1M tokens

Embeddings are billed on input tokens only.

On ATP

The same governance applies to every model on the gateway:

  • Project API key — spend and revocation bound to one project
  • Model allowlist — only enabled models may be called
  • Credits — 1 USD = 100 credits, debited per completed request
  • Per-request logs — model, key, project, credits for audit

Cost estimator

A list-price estimate for a month of traffic. Actual spend follows each completed request.

ESTIMATE

Monthly cost estimator

100M
ESTIMATE
220
credits / month
$2.20
USD / month

List-price estimate (1 USD = 100 credits); actual cost comes from each request's response.

Quickstart

Point your existing SDK at the gateway and use a project key. Read the docs

embeddings.py · OpenAI SDK
from openai import OpenAI

client = OpenAI(
  base_url="https://api.atptoken.ai/v1",
  api_key="atp-•••"
)

r = client.embeddings.create(
  model="text-embedding-3-small",
  input="petrichor",
)

FAQ

How much does text-embedding-3-small cost on ATP Token?
List rates for text-embedding-3-small (API id text-embedding-3-small): input $0.022 per 1M tokens. Billing uses credits (1 USD = 100 credits), debited from the project balance per completed request. There is no monthly platform fee; see Pricing for the minimum top-up.
How do I call text-embedding-3-small via API?
Create a project API key, enable the API id text-embedding-3-small (not the display name) on that project’s allowlist, point an OpenAI-compatible SDK at https://api.atptoken.ai/v1, and set model to "text-embedding-3-small". See the Quickstart on this page and the docs.
What are the context and capabilities of text-embedding-3-small?
Capability flags (thinking, tools, vision) follow the gateway model catalog — treat the catalog visible to your key as operational truth. Context is shown only when we have a reliable source. Vendor: OpenAI.
Who can use text-embedding-3-small on ATP?
Only models on a project’s allowlist can be called with that project’s key (match the API id). Organization → workspace → project governance, per-request logs, and credit budgets are managed in the ATP Console.
Get started

Start with USD 5 — credits never expire.

Issue a project key, enable this model, and pay only for what you use.