Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtQwen2.5 7B Instruct
by QwenReleased 16 October 2024
Qwen2.5 7B Instruct reads text and writes back text, up to 8 pages per answer, in over 29 languages. It is the small end of the open Qwen2.5 chat line, with the same listed gains as the 72B: following instructions, reading tables and filling in the exact form or table you give it. Use it where the job is a plain instruction with a set shape of answer, such as tables in and records out.
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 | 33,28 DA | 66,57 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 15:20 · 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="qwen/qwen-2.5-7b-instruct",
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.
max_tokenstemperaturetop_ptop_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_penaltyStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsTools
Let the model call your functions.
toolstool_choiceQuestions about Qwen2.5 7B Instruct
How much does Qwen2.5 7B Instruct cost in dinars?
About 0,067 DA per message. ↑ 33,28 DA · ↓ 66,57 DA per 1M tokens.
Is Qwen2.5 7B Instruct 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 Qwen2.5 7B Instruct best for?
Qwen2.5 7B Instruct reads text and writes back text, up to 8 pages per answer, in over 29 languages. It is the small end of the open Qwen2.5 chat line, with the same listed gains as the 72B: following instructions, reading tables and filling in the exact form or table you give it. Use it where the job is a plain instruction with a set shape of answer, such as tables in and records out.
Qwen2.5 7B Instruct or Qwen2.5 Coder 32B Instruct?
Qwen2.5 Coder 32B Instruct costs 0,32 DA more for the same message.
How do I pay for Qwen2.5 7B Instruct without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Qwen2.5 7B Instruct included, is paid from that balance. No foreign card, no conversion.
Does Qwen2.5 7B Instruct work in Arabic, French or Darja?
Qwen lists support for over 29 languages, French and Arabic among them. Darja is not named.
Can it read PDFs, images or a whole book?
It reads text. Up to 33K tokens in one request, about 32 pages. It writes up to 22 000 words at once.
Is Qwen2.5 7B Instruct open source?
Yes, its weights are public. Open weights on Hugging Face
Who makes Qwen2.5 7B Instruct, and when was it released?
Qwen. Released 16 October 2024. It knows the world up to 30 June 2024.
Other Qwen models, priced in dinars
See all Qwen modelsThe 8B Qwen3 Embedding, carrying Qwen3's multilingual reach and long-text understanding into vectors for text and code retrieval, classification, clustering and bitext mining; the 4B is its smaller sibling
Qwen3 Reranker 8B reads a search question together with each candidate text and gives each pair a relevance score, so the best matches rise to the top. It covers over 100 languages and programming languages, and you can tell it what counts as relevant for your task. Use it as the second pass after a search step such as Qwen3's text-meaning models has fetched candidates, to put your answers in order. It does not write text itself.
Qwen3 Embedding 4B turns text into a fingerprint of its meaning, so search finds text that means the same even in other words or another language. It covers over 100 languages, code included, and reads about 32 pages at once, which suits searching documents or code, grouping similar texts and matching translations.
Qwen-Audio-3.0-TTS Plus reads text and speaks it aloud, and Alibaba's docs say it takes plain-language directions for speech rate, emotion and speaking style. It is the higher-quality tier of the two Qwen-Audio-3.0 speech models, made by Alibaba. Pick it for narration, voiceover or any line where voice quality matters more than speed.
