by QwenReleased 16 October 2026
Qwen Image 2.1 Turbo is the fast, lower-cost tier of the Qwen Image 2.1 series, generating and editing pictures from text and image prompts where throughput and price matter more than peak quality
You pay for what each request uses. No subscription, no minimum.
One image, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Picture | 6,12 DA |
per picture returned
One company runs this model. OpenDunes sends every request to it.
| Provider | Per image | Latency | Uptime |
|---|---|---|---|
| AlibabaAsia | 6,12 DA | … | … |
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.
One HTTP call. Any language that can send JSON can call it.
import os, requests
BASE = "https://opendunes.com/v1"
KEY = os.environ["OPENDUNES_API_KEY"]
H = {"Authorization": f"Bearer {KEY}"}
resp = requests.post(f"{BASE}/images", headers=H, json={
"model": "qwen/qwen-image-2.1-turbo",
"prompt": "A clay tagine on a blue zellige table, morning light",
})
print(resp.json())Runs this request once on your balance.
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_pseedpresence_penaltyStructured output
Get JSON you can parse instead of prose.
response_formatAbout 6,12 DA per image.
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
Qwen Image 2.1 Turbo is the fast, lower-cost tier of the Qwen Image 2.1 series, generating and editing pictures from text and image prompts where throughput and price matter more than peak quality.
Qwen Image 2.1 Pro costs 9,19 DA more for the same image.
Deposit dinars with your Edahabia or CIB card. Every model, Qwen Image 2.1 Turbo included, is paid from that balance. No foreign card, no conversion.
Qwen names no languages for Qwen Image 2.1 Turbo. Arabic, French and Darja: not stated.
Yes. Up to 4 reference pictures in one request.
1:1, 1:2, 1:4, 2:1, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 9:16 and 16:9. Saved as: not stated.
Qwen. Released 16 October 2026.
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
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.
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.
Up to 4 references
Takes up to that many pictures to guide the result.
4K No.
Transparent background No.
SVG No.
Several pictures per request
Returns more than one picture per request.
Vertical 9:16
Same result twice
The same seed gives the same result.
Turn a text prompt into one or several pictures, choosing vertical 9:16 when the layout calls for it
Several pictures per request · Vertical 9:16