Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtQwen3 Coder Next
by QwenReleased 4 February 2026
Qwen3 Coder Next reads text and writes back code, built for coding helpers and local development, and you can download it and run it yourself. Qwen says it matches models that do 10 to 20 times more work per word, which suits helpers that run all day, and it keeps about 250 pages in mind at once. It never shows a thinking phase and recovers from failed runs.
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 | 39,94 DA | 266,27 DA |
| Cached tokens read | 23,30 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 15:19 · 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/qwen3-coder-next",
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_kstopseedfrequency_penaltypresence_penaltyrepetition_penaltylogit_biaslogprobstop_logprobsStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsTools
Let the model call your functions.
toolstool_choiceQuestions about Qwen3 Coder Next
How much does Qwen3 Coder Next cost in dinars?
About 0,17 DA per message. ↑ 39,94 DA · ↓ 266,27 DA per 1M tokens.
Is Qwen3 Coder Next 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 Coder Next best for?
Qwen3 Coder Next reads text and writes back code, built for coding helpers and local development, and you can download it and run it yourself. Qwen says it matches models that do 10 to 20 times more work per word, which suits helpers that run all day, and it keeps about 250 pages in mind at once. It never shows a thinking phase and recovers from failed runs.
Qwen3 Coder Next or Qwen3 Coder Flash?
Qwen3 Coder Flash costs 0,060 DA more for the same message.
How do I pay for Qwen3 Coder Next without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Qwen3 Coder Next included, is paid from that balance. No foreign card, no conversion.
Does Qwen3 Coder Next work in Arabic, French or Darja?
Qwen names no languages for Qwen3 Coder Next. 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 177 000 words at once.
Is Qwen3 Coder Next open source?
Yes, its weights are public. Open weights on Hugging Face
Who makes Qwen3 Coder Next, and when was it released?
Qwen. Released 4 February 2026.
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.