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-6 Luna Decisions
by OpenAIReleased 6 October 2026
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.
What it costs
You pay for what each request uses. No subscription, no minimum.
One case, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 33,28 DA |
per 1M tokens
Web search · 3,33 DA per call
- When you pay
- After the answer, from your balance. Nothing is held.
- Why it varies
- The length of the text.
- After each one
- The exact charge shows on the request.
Where your request runs
One company runs this model. OpenDunes sends every request to it. DA per 1M tokens: ↑ what you send.
Also charged: writing to the cache ↑ 0,00 · a web search 3,33 DA each.
You pay the price of the provider that served your request. Prices read 15:20 · speed over the last 30 minutes · uptime over 3 days.
Call it in code
One HTTP call, with your questions named as you like.
import os, requests
BASE = "https://opendunes.com"
KEY = os.environ["OPENDUNES_API_KEY"]
H = {"Authorization": f"Bearer {KEY}"}
resp = requests.post(f"{BASE}/alpha/decisions", headers=H, json={
"model": "openai/gpt-6-luna-decisions",
"state": "The courier came two days late and the box was open.",
"questions": {
"is_complaint": {
"type": "noul",
"instructions": "Is it a complaint?",
"criteria": {
"true": "The customer is unhappy with the service.",
"false": "The customer is asking a question or saying thanks.",
},
},
},
})
print(resp.json())Runs this request once on your balance.
Questions about GPT-6 Luna Decisions
How much does GPT-6 Luna Decisions cost in dinars?
About 0,033 DA per case. ↑ 33,28 DA per 1M tokens.
Is GPT-6 Luna Decisions free? Can I try it?
No. You pay per use from your balance, with no subscription. Run it once from Call it in code, at the same price.
What is GPT-6 Luna Decisions best for?
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.
How do I pay for GPT-6 Luna Decisions without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, GPT-6 Luna Decisions included, is paid from that balance. No foreign card, no conversion.
Does GPT-6 Luna Decisions work in Arabic, French or Darja?
OpenAI names no languages for GPT-6 Luna Decisions. Arabic, French and Darja: not stated.
What can it answer?
Yes or no, one choice from your list, or a score on your scale. Each answer comes with its probability.
Who makes GPT-6 Luna Decisions, and when was it released?
OpenAI. Released 6 October 2026.
Other OpenAI models, priced in dinars
See all OpenAI modelsGPT 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.
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.
GPT-6 Luna reads your text, pictures and files and writes back, and it can take in about a thousand pages at once. It is the quick, low-cost tier of the GPT-6 series, below GPT-6 Sol, built for heavy traffic and tight response times: chat, sorting messages into categories and light multi-step tasks. Turn its thinking up and it can also take software and computer-use jobs that used to need a Sol-class model.