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 1 Mini
by OpenAIReleased 24 June 2026
The lighter variant of GPT Image 1, for high-quality image generation at reduced latency while keeping transparent backgrounds, quality levels and edits from up to 16 references
What it costs
You pay for what each request uses. No subscription, no minimum.
One image, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Picture | 2,81 DA |
per picture returned
Web search · 3,33 DA per call
- When you pay
- After the answer, from your balance. Nothing is held.
- Why it varies
- The size, and each reference picture.
- 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.
↑ 832,09 DA · ↓ 832,09 DA per 1M text tokens
Also billed, on the endpoint that serves by default: Web search 3,33 DA per search.
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.
Call it in code
One HTTP call. Any language that can send JSON can call it.
import os, requests
BASE = "https://opendunes.com/v1"
KEY = os.environ["OPENDUNES_API_KEY"]
H = {"Authorization": f"Bearer {KEY}"}
resp = requests.post(f"{BASE}/images", headers=H, json={
"model": "openai/gpt-image-1-mini",
"prompt": "A clay tagine on a blue zellige table, morning light",
})
print(resp.json())Runs this request once on your balance.
Parameters you can send
Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.
Shaping the reply
How long, how varied, where to stop.
max_tokensseedStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsQuestions about GPT Image 1 Mini
How much does GPT Image 1 Mini cost in dinars?
About 2,81 DA per image. ↓ 2 662,68 DA per 1M image tokens.
Is GPT Image 1 Mini free? Can I try it?
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
What is GPT Image 1 Mini best for?
The lighter variant of GPT Image 1, for high-quality image generation at reduced latency while keeping transparent backgrounds, quality levels and edits from up to 16 references.
GPT Image 1 Mini or GPT Image 2.5 Sunburst?
GPT Image 2.5 Sunburst costs 1,57 DA more for the same image.
How do I pay for GPT Image 1 Mini without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, GPT Image 1 Mini included, is paid from that balance. No foreign card, no conversion.
Does GPT Image 1 Mini work in Arabic, French or Darja?
OpenAI names no languages for GPT Image 1 Mini. Arabic, French and Darja: not stated.
Can it edit my photo?
Yes. Up to 16 reference pictures in one request.
What sizes and formats does it make?
1:1, 3:2 and 2:3. Saved as PNG, JPEG and WEBP.
Who makes GPT Image 1 Mini, and when was it released?
OpenAI. Released 24 June 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.
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.