Two lines to welcome a shop in Oran.
Welcome to our new shop in Oran — fresh bread every morning, and coffee the way the city likes it. Come in, the first cup is on us.
Try in Chat Labby OpenAI·Released 28 May 2023
GPT-4 reads text and writes text back, keeping about 8 pages in mind, with replies up to 4 pages, and it can use connected tools and fill in exact forms. Its knowledge stops in September 2021, and it is the original GPT-4 generation. Choose it only to keep an older setup steady. GPT-4 Turbo reads 128 pages and accepts pictures, and GPT-4.1 reads about a thousand pages with a later knowledge cutoff.
You pay for what each request uses. No subscription, no minimum.
One message, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 9 985,07 DA | 19 970,14 DA |
per 1M tokens
One company runs this model. OpenDunes sends every request to it. DA per 1M tokens: ↑ what you send · ↓ what comes back.
| Provider | ↑ Sent | ↓ Back | Latency | Throughput | Uptime |
|---|---|---|---|---|---|
| 9 985,07 DA | 19 970,14 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.
Real requests, real replies. Try any of them yourself — one click, pre-filled.
Two lines to welcome a shop in Oran.
Welcome to our new shop in Oran — fresh bread every morning, and coffee the way the city likes it. Come in, the first cup is on us.
Try in Chat LabTry your own request — same model, pre-selected.
Open Chat LabSwap 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.chat.completions.create(
model="openai/gpt-4",
messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)
print(resp.choices[0].message.content)Runs this request once on your balance.
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.
temperaturetop_pstopseedfrequency_penaltypresence_penaltylogit_biaslogprobstop_logprobsStructured output
Get JSON you can parse instead of prose.
response_formatTools
Let the model call your functions.
toolstool_choiceOther
Also accepted by this model.
max_completion_tokensAbout 19,97 DA per message. ↑ 9 985,07 DA · ↓ 19 970,14 DA per 1M tokens.
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
GPT-4 reads text and writes text back, keeping about 8 pages in mind, with replies up to 4 pages, and it can use connected tools and fill in exact forms. Its knowledge stops in September 2021, and it is the original GPT-4 generation. Choose it only to keep an older setup steady. GPT-4 Turbo reads 128 pages and accepts pictures, and GPT-4.1 reads about a thousand pages with a later knowledge cutoff.
Deposit dinars with your Edahabia or CIB card. Every model, GPT-4 included, is paid from that balance. No foreign card, no conversion.
OpenAI names no languages for GPT-4. Arabic, French and Darja: not stated.
It reads text. Up to 8K tokens in one request, about 8 pages. It writes up to 3 000 words at once.
No. OpenAI has not published its weights.
OpenAI. Released 28 May 2023. It knows the world up to 30 September 2021.
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.
Thinks first No.
Works through the problem before it answers.
Uses your tools
Can call functions your code provides.
Fills your JSON No.
Answers in the JSON shape you give it.
Searches the web No.
Can look things up online while it answers.
Cheaper on repeats No.
A prompt it saw a moment ago costs less the second time.
Open weights No.
Read on developers.openai.com.
Knows events up to 30 Sep 2021
What it learned stops at this date.
Keep an existing assistant on the exact model it was tested with
Uses your tools
Return a structured answer as JSON
Fills your JSON
Explain a short piece of code