Writing
You send
Two lines to welcome a shop in Oran.
It replied
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 LabQwen3 235B A22B Thinking 2507
by QwenReleased 25 July 2025
Qwen3 235B A22B Thinking 2507 reads text and writes back text, and it always thinks before it answers, with room for up to about 80 pages of output. Qwen aims it at hard problems in logic, maths, science and long-form writing, citing AIME, SuperGPQA and LiveCodeBench, and it uses the tools you connect to it.
TakesText
GivesText
What it costs
You pay for what each request uses. No subscription, no minimum.
≈ 0,73 DA per message3 000 DA buys about 4 000 messages
One message, the ordinary use
1 000 tokens sent× 149,78 DA per 1M0,15 DA
500 tokens back× 1 164,92 DA per 1M0,58 DA
Total≈ 0,73 DA
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 149,78 DA | 1 164,92 DA |
per 1M tokens
Answer a quick question≈ 0,31 DA
Reply to a customer email≈ 0,56 DA
Translate a full page of text≈ 1,04 DA
Write a one-page draft≈ 1,09 DA
Review a pull request of about 400 lines≈ 2,30 DA
- 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.
DepositDeposits from 50 DA, with Edahabia or CIB.
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.
VeniceUnited States…
↑ Sent, per 1M
149,78 DA
↓ Back, per 1M
1 164,92 DA
Latency
…
Throughput
…
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.
Try 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/qwen3-235b-a22b-thinking-2507",
messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)
print(resp.choices[0].message.content)pip install openaiFull reference for this route
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_kstopfrequency_penaltypresence_penaltyReasoning
Let it think before answering — and see the thinking.
reasoninginclude_reasoningTools
Let the model call your functions.
toolstool_choiceQuestions about Qwen3 235B A22B Thinking 2507
How much does Qwen3 235B A22B Thinking 2507 cost in dinars?
About 0,73 DA per message. ↑ 149,78 DA · ↓ 1 164,92 DA per 1M tokens.
Is Qwen3 235B A22B Thinking 2507 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 Qwen3 235B A22B Thinking 2507 best for?
Qwen3 235B A22B Thinking 2507 reads text and writes back text, and it always thinks before it answers, with room for up to about 80 pages of output. Qwen aims it at hard problems in logic, maths, science and long-form writing, citing AIME, SuperGPQA and LiveCodeBench, and it uses the tools you connect to it.
Qwen3 235B A22B Thinking 2507 or Qwen3 235B A22B Instruct 2507?
Qwen3 235B A22B Instruct 2507 costs 0,55 DA less for the same message.
How do I pay for Qwen3 235B A22B Thinking 2507 without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Qwen3 235B A22B Thinking 2507 included, is paid from that balance. No foreign card, no conversion.
Does Qwen3 235B A22B Thinking 2507 work in Arabic, French or Darja?
Qwen names no languages for Qwen3 235B A22B Thinking 2507. Arabic, French and Darja: not stated.
Can it read PDFs, images or a whole book?
It reads text. Up to 128K tokens in one request, about 120 pages. It writes up to 12 000 words at once.
Is Qwen3 235B A22B Thinking 2507 open source?
Yes, its weights are public. Open weights on Hugging Face
Who makes Qwen3 235B A22B Thinking 2507, and when was it released?
Qwen. Released 25 July 2025. It knows the world up to 30 June 2025.
Other Qwen models, priced in dinars
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The 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
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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.
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≈0,067 DAper search
View modelQwen3 Embedding 4BQwen · Oct 28, 2025
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.
32 pages per call
≈0,0067 DAper page
View modelQwen-Audio-3.0-TTS PlusQwen · Jul 23, 2026
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.
2 voices
≈3,99 DAper paragraph read aloud
View model