by GoogleReleased 4 November 2026
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.
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 | 499,25 DA | 2 995,52 DA |
per 1M tokens
Web search · 4,66 DA per call
One company runs this model. OpenDunes sends every request to it.
| Provider | Price | Latency | Throughput | Uptime |
|---|---|---|---|---|
| Google AI Studio | ↑ 499,25 DA · ↓ 2 995,52 DA per 1M tokens | … | … | … |
Also billed, on the endpoint that serves by default: Web search 4,66 DA per search.
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.
Real requests, real replies. Try any of them yourself — one click, pre-filled.
What's the total on this invoice, and when is it due?
invoice-scan.jpg · photoThe total is 42 300,00 DA, due 5 September 2026. Worth a double-check: the handwritten day could read as 8 instead of 3.
Try in Chat LabTwo 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 LabSwap 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="google/gemini-omni-1.1-flash",
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.
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_pseedReasoning
Let it think before answering — and see the thinking.
reasoningreasoning_effortinclude_reasoningAbout 2,00 DA per message. ↑ 499,25 DA · ↓ 2 995,52 DA per 1M tokens.
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
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.
Gemini Omni 1.2 Flash costs the same for the same message.
Deposit dinars with your Edahabia or CIB card. Every model, Gemini Omni 1.1 Flash included, is paid from that balance. No foreign card, no conversion.
Google names no languages for Gemini Omni 1.1 Flash. Arabic, French and Darja: not stated.
It reads text, images and video. Up to 131K tokens in one request, about 130 pages. It writes up to 49 000 words at once.
No. Google has not published its weights.
Google. Released 4 November 2026.
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.
#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.
Google's synchronous speech-to-text model for when timestamps on every word or labels for up to eight speakers are needed, on audio of up to an hour, or half an hour with those extras switched on
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.
Thinks first
Works through the problem before it answers.
Uses your tools No.
Can call functions your code provides.
Fills your JSON No.
Answers in the JSON shape you give it.
Searches the web
Can look things up online while it answers.
Cheaper on repeats No.
A prompt it saw a moment ago costs less the second time.
Generate a video clip from a written description or an image
Thinks first
Create a video from a picture or text input
Thinks first
Find information online and summarize it in text
Searches the web