by OpenAI·Released 30 October 2025
OpenAI's legacy embedding model, kept for systems built on it before text-embedding-3, turning passages of up to about 8K tokens into vectors that measure how closely they relate
You pay for what each request uses. No subscription, no minimum.
One page, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 16,64 DA |
per 1M tokens
One company runs this model. OpenDunes sends every request to it. DA per 1M tokens: ↑ what you send.
| Provider | ↑ text | Latency | Uptime |
|---|---|---|---|
| OpenAI | 16,64 DA | … | … |
You pay the price of the provider that served your request. Prices read 15:19 · speed over the last 30 minutes · uptime over 3 days.
Swap the base URL and the key. Your OpenAI code runs unchanged.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://opendunes.com/v1",
api_key=os.environ["OPENDUNES_API_KEY"],
)
resp = client.embeddings.create(
model="openai/text-embedding-ada-002:batch",
input="Delivery to Oran takes two days.",
)
print(resp.data[0].embedding[:5])Runs this request once on your balance.
About 0,017 DA per page. ↑ 16,64 DA per 1M tokens.
No. You pay per use from your balance, with no subscription. Run it once from Call it in code, at the same price.
OpenAI's legacy embedding model, kept for systems built on it before text-embedding-3, turning passages of up to about 8K tokens into vectors that measure how closely they relate.
Deposit dinars with your Edahabia or CIB card. Every model, Text Embedding Ada 002 (batch) included, is paid from that balance. No foreign card, no conversion.
OpenAI names no languages for Text Embedding Ada 002 (batch). Arabic, French and Darja: not stated.
Up to 8 192 tokens. Split anything longer.
Not stated.
OpenAI. Released 30 October 2025.
Text Embedding 3 Small turns text of up to about 8 pages into a fingerprint of its meaning, so search finds passages that mean the same thing even when the words differ. It replaces the older ada-002 and is the sensible default for search over your documents, grouping similar messages or labelling them.
GPT Image 2.5 Sunburst takes a written description, with optional reference pictures, and gives back an image, new or edited, as PNG, JPEG or WebP, with transparent backgrounds on PNG and WebP. It is the precision tier of the 2.5 series, for detailed creative work where an edit has to land exactly as asked, and it adds top quality settings named xhigh and max.
GPT-6 Luna Decisions does not write text. You send content as text, a table of data or a picture, plus up to 200 named questions of three kinds: yes or no, pick among options, or grade against an ordered scale. It returns a probability for every answer, with the likeliest option or expected score, so your own system can set its thresholds for routing, moderation or marking.
Text Embedding 3 Large turns text of up to about 8 pages into a fingerprint of its meaning, so search finds passages that mean the same thing even when the words differ. It is the most accurate of OpenAI's models of this kind, in English and other languages. Choose it when the quality of matches matters most, for search, grouping or labelling documents.
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.
Open weights No.
Read on developers.openai.com.
Add new documents to an index built with ada vectors
Search an existing knowledge base by meaning
Compare two texts for similarity