opendunes

Gemini Embedding 2 (batch)

by GoogleReleased 20 May 2026

Gemini Embedding 2 turns text, images, video, audio and PDFs into fingerprints of their meaning in one shared space, up to about 8 pages per item. That lets one search find a picture from a sentence or a clip from a document. Pick it for search across kinds of media. For text-only collections of pieces under 2 pages, Gemini Embedding 001 is enough.

TakesTextImagesVideoAudioFiles
GivesEmbeddings
Create API keyCompare

What it costs

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

≈ 0,033 DA per page3 000 DA buys about 90 000 pages

One page, the ordinary use

1 000 tokens sent× 33,28 DA per 1M0,033 DA
Total≈ 0,033 DA

Every rate

Meter↑ you send↓ comes back
Text tokens33,28 DA
Picture tokens74,89 DA
Audio tokens1 081,72 DA

per 1M tokens

Embed a search query≈ 0,00067 DA
Index a 10-page help centre≈ 0,23 DA
Embed 1 000 product titles≈ 0,50 DA
Index a 50-page product manual≈ 1,16 DA
Embed 200 product thumbnails≈ 3,86 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

One company runs this model. OpenDunes sends every request to it. DA per 1M tokens: ↑ what you send.

Google…
↑ text
33,28 DA
↑ image
74,89 DA
↑ audio
1 081,72 DA
Latency
…
Provider↑ text↑ image↑ audioLatencyUptime
Google33,28 DA74,89 DA1 081,72 DA……

You pay the price of the provider that served your request. Prices read 15:18 · 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
google/gemini-embedding-2:batch
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="google/gemini-embedding-2:batch",
    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 Gemini Embedding 2 (batch)

  • How much does Gemini Embedding 2 (batch) cost in dinars?

    About 0,033 DA per page. ↑ 33,28 DA per 1M tokens.

  • Is Gemini Embedding 2 (batch) 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 Gemini Embedding 2 (batch) best for?

    Gemini Embedding 2 turns text, images, video, audio and PDFs into fingerprints of their meaning in one shared space, up to about 8 pages per item. That lets one search find a picture from a sentence or a clip from a document. Pick it for search across kinds of media. For text-only collections of pieces under 2 pages, Gemini Embedding 001 is enough.

  • How do I pay for Gemini Embedding 2 (batch) without an international card?

    Deposit dinars with your Edahabia or CIB card. Every model, Gemini Embedding 2 (batch) included, is paid from that balance. No foreign card, no conversion.

  • Does Gemini Embedding 2 (batch) work in Arabic, French or Darja?

    Google says it works across over 100 languages. Arabic, French and Darja are not named on that page.

  • How much text in one input?

    Up to 8 192 tokens. Split anything longer.

  • How many dimensions?

    Not stated.

  • Who makes Gemini Embedding 2 (batch), and when was it released?

    Google. Released 20 May 2026.

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