This model is designed to handle text, pictures, and video inputs, allowing it to read up to 130 pages of content. It specializes in generating and editing video clips, producing outputs that include both text and moving images. What sets this model apart is its native ability to process and generate video content directly. It is not suitable for tasks requiring external tool usage or the creation of structured data formats.
Gemini Embedding 001 (batch)
by GoogleReleased 31 October 2025
Gemini Embedding 001 turns text into a fingerprint of its meaning, so a search finds text that means the same thing and not only the same words; it also helps sort text into categories. It takes text only, about 2 pages per piece. Pick it when your collection is plain text. For images, audio, video or PDFs in the same search, and for pieces up to about 8 pages, use Gemini Embedding 2.
What it costs
You pay for what each request uses. No subscription, no minimum.
One page, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 24,96 DA |
per 1M tokens
- 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.
Where your request runs
One company runs this model. OpenDunes sends every request to it. DA per 1M tokens: ↑ what you send.
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.
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-001:batch",
input="Delivery to Oran takes two days.",
)
print(resp.data[0].embedding[:5])Runs this request once on your balance.
Questions about Gemini Embedding 001 (batch)
How much does Gemini Embedding 001 (batch) cost in dinars?
About 0,025 DA per page. ↑ 24,96 DA per 1M tokens.
Is Gemini Embedding 001 (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 001 (batch) best for?
Gemini Embedding 001 turns text into a fingerprint of its meaning, so a search finds text that means the same thing and not only the same words; it also helps sort text into categories. It takes text only, about 2 pages per piece. Pick it when your collection is plain text. For images, audio, video or PDFs in the same search, and for pieces up to about 8 pages, use Gemini Embedding 2.
How do I pay for Gemini Embedding 001 (batch) without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, Gemini Embedding 001 (batch) included, is paid from that balance. No foreign card, no conversion.
Does Gemini Embedding 001 (batch) work in Arabic, French or Darja?
Google names no languages for Gemini Embedding 001 (batch). Arabic, French and Darja: not stated.
How much text in one input?
Up to 20 000 tokens. Split anything longer.
How many dimensions?
Not stated.
Who makes Gemini Embedding 001 (batch), and when was it released?
Google. Released 31 October 2025.
Other Google models, priced in dinars
See all Google models#1 for speech · Gemini 3.8 Flash TTS turns text into speech in 130+ languages with studio-grade acting, regional accents and a voice that stays consistent through long dialogues. It offers prebuilt voices, custom voice personas and voice replication, with about 8 pages of text per request. Pick it for audiobooks, narration and multi-speaker scenes.
Nano Banana 2, Google's 3.1 Flash Image model, generates and edits images from a written description and reference pictures, returning images with text. It outputs up to 4K, adds very tall and very wide shapes such as 1:8, and renders text in other languages better. Pick it for production batches of ads, banners and edits.
This model accepts text, pictures, and videos as input, allowing it to read up to 130 pages of content. It specializes in creating and editing video content, converting descriptions or pictures into moving images. A key feature is its ability to search the web for information while processing complex visual data. However, it does not utilize external tools or generate structured data formats.