opendunes

Qwen3 235B A22B Instruct 2507

by QwenReleased 21 July 2025

Qwen3 235B A22B Instruct 2507 reads text and writes back text and answers straight away, with no thinking phase. It keeps about 260 pages in mind at once, and Qwen singles out its understanding of many languages, its maths and its fit to open-ended requests, measured on AIME, HMMT, Arena-Hard and WritingBench.

TakesText
GivesText
Open in chatCreate API keyCompare

What it costs

You pay for what each request uses. No subscription, no minimum.

≈ 0,18 DA per message3 000 DA buys about 16 000 messages

One message, the ordinary use

1 000 tokens sent× 46,60 DA per 1M0,047 DA
500 tokens back× 266,27 DA per 1M0,13 DA
Total≈ 0,18 DA

Every rate

Meter↑ you send↓ comes back
Text tokens46,60 DA266,27 DA
Cached tokens read16,64 DA

per 1M tokens

Answer a quick question≈ 0,074 DA
Reply to a customer email≈ 0,13 DA
Translate a full page of text≈ 0,25 DA
Write a one-page draft≈ 0,25 DA
Review a pull request of about 400 lines≈ 0,60 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

Four companies run this model. OpenDunes sends each request to one of them, picked by price and speed. If it fails, the next one takes it. DA per 1M tokens: ↑ what you send · ↓ what comes back.

GMICloud75 % offUnited States…
↑ Sent, per 1M
Was 116,4829,12 DA
↓ Back, per 1M
Was 465,96116,49 DA
Cache read
Was 23,285,82 DA
Latency
…
Throughput
…
DeepInfraUnited States…
↑ Sent, per 1M
29,96 DA
↓ Back, per 1M
183,06 DA
Cache read
none
Latency
…
Throughput
…
Parasail…
↑ Sent, per 1M
46,60 DA
↓ Back, per 1M
266,27 DA
Cache read
16,64 DA
Latency
…
Throughput
…
VeniceUnited States…
↑ Sent, per 1M
49,93 DA
↓ Back, per 1M
249,63 DA
Cache read
none
Latency
…
Throughput
…
Provider↑ Sent↓ BackCache readLatencyThroughputUptime
GMICloud75 % offUnited StatesWas 116,4829,12 DAWas 465,96116,49 DAWas 23,285,82 DA………
DeepInfraUnited States29,96 DA183,06 DAnone………
Parasail46,60 DA266,27 DA16,64 DA………
VeniceUnited States49,93 DA249,63 DAnone………

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.

Structured output
You send

Turn this customer email into JSON with intent, urgency and order_id.

customer-email.txt
It replied

{ "intent": "refund", "urgency": "high", "order_id": "OD-58421" }

Try in Chat Lab
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 Lab

Try your own request — same model, pre-selected.

Open Chat Lab

Call it in code

Swap the base URL and the key. Your OpenAI code runs unchanged.

POST /v1/chat/completions
Base URL
https://opendunes.com/v1
Model ID
qwen/qwen3-235b-a22b-2507
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-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
Sign in to run it

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_penaltylogit_biaslogprobstop_logprobs

Structured output

Get JSON you can parse instead of prose.

response_formatstructured_outputs

Tools

Let the model call your functions.

toolstool_choice

Questions about Qwen3 235B A22B Instruct 2507

  • How much does Qwen3 235B A22B Instruct 2507 cost in dinars?

    About 0,18 DA per message. ↑ 46,60 DA · ↓ 266,27 DA per 1M tokens.

  • Is Qwen3 235B A22B Instruct 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 Instruct 2507 best for?

    Qwen3 235B A22B Instruct 2507 reads text and writes back text and answers straight away, with no thinking phase. It keeps about 260 pages in mind at once, and Qwen singles out its understanding of many languages, its maths and its fit to open-ended requests, measured on AIME, HMMT, Arena-Hard and WritingBench.

  • Qwen3 235B A22B Instruct 2507 or Qwen3 235B A22B Thinking 2507?

    Qwen3 235B A22B Thinking 2507 costs 0,55 DA more for the same message.

  • How do I pay for Qwen3 235B A22B Instruct 2507 without an international card?

    Deposit dinars with your Edahabia or CIB card. Every model, Qwen3 235B A22B Instruct 2507 included, is paid from that balance. No foreign card, no conversion.

  • Does Qwen3 235B A22B Instruct 2507 work in Arabic, French or Darja?

    Qwen names no languages for Qwen3 235B A22B Instruct 2507. Arabic, French and Darja: not stated.

  • Can it read PDFs, images or a whole book?

    It reads text. Up to 262K tokens in one request, about 260 pages. It writes up to 88 000 words at once.

  • Is Qwen3 235B A22B Instruct 2507 open source?

    Yes, its weights are public. Open weights on Hugging Face

  • Who makes Qwen3 235B A22B Instruct 2507, and when was it released?

    Qwen. Released 21 July 2025. It knows the world up to 30 June 2025.

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≈0,0067 DAper page
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