opendunes

Qwen3 Embedding 8B

by QwenReleased 28 October 2025

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

TakesText
GivesEmbeddings
Create API keyCompare

What it costs

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

≈ 0,0033 DA per page3 000 DA buys about 900 000 pages

One page, the ordinary use

1 000 tokens sent× 3,33 DA per 1M0,0033 DA
Total≈ 0,0033 DA

Every rate

Meter↑ you send↓ comes back
Text tokens3,33 DA

per 1M tokens

Embed one customer question for search≈ 0,00010 DA
Index a 10-page help centre≈ 0,023 DA
Embed 1 000 product titles≈ 0,050 DA
Index a 50-page product catalogue≈ 0,12 DA
Embed 500 support tickets≈ 0,33 DA
When you pay
After the answer, from your balance. Nothing is held.
Why it varies
The length of the text.
After each one
The exact charge shows on the request.
DepositDeposits from 50 DA, with Edahabia or CIB.

Where your request runs

Three 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.

Nebius…
↑ text
3,33 DA
Latency
…
DeepInfraUnited States…
↑ text
3,33 DA
Latency
…
SiliconFlowUnited States…
↑ text
13,31 DA
Latency
…
Provider↑ textLatencyUptime
Nebius3,33 DA……
DeepInfraUnited States3,33 DA……
SiliconFlowUnited States13,31 DA……

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.

Call it in code

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

POST /v1/embeddings
Base URL
https://opendunes.com/v1
Model ID
qwen/qwen3-embedding-8b
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://opendunes.com/v1",
    api_key=os.environ["OPENDUNES_API_KEY"],
)

resp = client.embeddings.create(
    model="qwen/qwen3-embedding-8b",
    input="Delivery to Oran takes two days.",
)

print(resp.data[0].embedding[:5])
pip install openaiFull reference for this route
Sign in to run it

Runs this request once on your balance.

Questions about Qwen3 Embedding 8B

  • How much does Qwen3 Embedding 8B cost in dinars?

    About 0,0033 DA per page. ↑ 3,33 DA per 1M tokens.

  • Is Qwen3 Embedding 8B free? Can I try it?

    No. You pay per use from your balance, with no subscription. Run it once from Call it in code, at the same price.

  • What is Qwen3 Embedding 8B best for?

    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 Embedding 8B or Qwen3 Embedding 4B?

    Qwen3 Embedding 4B costs 0,0034 DA more for the same page.

  • How do I pay for Qwen3 Embedding 8B without an international card?

    Deposit dinars with your Edahabia or CIB card. Every model, Qwen3 Embedding 8B included, is paid from that balance. No foreign card, no conversion.

  • Does Qwen3 Embedding 8B work in Arabic, French or Darja?

    Qwen states support for over 100 languages, programming languages included, without listing them. Arabic, French and Darja are not named.

  • How much text in one input?

    Up to 40 960 tokens. Split anything longer.

  • How many dimensions?

    Not stated.

  • Who makes Qwen3 Embedding 8B, and when was it released?

    Qwen. Released 28 October 2025.

Other Qwen models, priced in dinars

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Qwen3 Reranker 8BQwen · Aug 13, 2026

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.

40 pages per search
≈0,067 DAper search
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Qwen3 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
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Qwen-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
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Qwen-Audio-3.0-TTS FlashQwen · Jul 23, 2026

#6 for realistic voice · Qwen-Audio-3.0-TTS Flash 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 fast tier of the two Qwen-Audio-3.0 speech models, made by Alibaba. Pick it for volume work, such as many short lines, where response time matters more than the last bit of voice quality.

2 voices
≈3,00 DAper paragraph read aloud
View model