Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtGPT-3.5 Turbo 16k
by OpenAIReleased 28 August 2023
The long-context GPT-3.5 Turbo, with four times the original window, about 20 pages in a single request, for chat and completions on longer documents, with tool calling and data up to September 2021
What it costs
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 | 998,51 DA | 1 331,34 DA |
per 1M tokens
- When you pay
- After the answer, from your balance. Nothing is held.
- Why it varies
- A longer question or a longer answer costs more.
- 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 · ↓ what comes back.
You pay the price of the provider that served your request. Prices read 15:21 · speed over the last 30 minutes · uptime over 3 days.
See it in action
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 LabCall it in code
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.chat.completions.create(
model="openai/gpt-3.5-turbo-16k",
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.
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.
temperaturetop_pstopseedfrequency_penaltypresence_penaltylogit_biaslogprobstop_logprobsStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsTools
Let the model call your functions.
toolstool_choiceOther
Also accepted by this model.
max_completion_tokensQuestions about GPT-3.5 Turbo 16k
How much does GPT-3.5 Turbo 16k cost in dinars?
About 1,66 DA per message. ↑ 998,51 DA · ↓ 1 331,34 DA per 1M tokens.
Is GPT-3.5 Turbo 16k 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-3.5 Turbo 16k best for?
The long-context GPT-3.5 Turbo, with four times the original window, about 20 pages in a single request, for chat and completions on longer documents, with tool calling and data up to September 2021.
GPT-3.5 Turbo 16k or GPT-3.5 Turbo (older v0613)?
GPT-3.5 Turbo (older v0613) costs 0,99 DA less for the same message.
How do I pay for GPT-3.5 Turbo 16k without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, GPT-3.5 Turbo 16k included, is paid from that balance. No foreign card, no conversion.
Does GPT-3.5 Turbo 16k work in Arabic, French or Darja?
OpenAI names no languages for GPT-3.5 Turbo 16k. Arabic, French and Darja: not stated.
Can it read PDFs, images or a whole book?
It reads text. Up to 16K tokens in one request, about 16 pages. It writes up to 3 000 words at once.
Is GPT-3.5 Turbo 16k open source?
No. OpenAI has not published its weights.
Who makes GPT-3.5 Turbo 16k, and when was it released?
OpenAI. Released 28 August 2023. It knows the world up to 30 September 2021.
Other OpenAI models, priced in dinars
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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.