opendunes

Gemini 3.5 Flash (batch)

by GoogleReleased 19 May 2026

#2 for slide decksA Gemini Flash that reaches close to Pro-level coding and reasoning, tuned for writing code and running agent loops in parallel, reading text, images, video, audio and PDFs, thinking at medium effort by default

TakesTextImagesVideoAudioFiles
GivesText

What it costs

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

≈ 1,00 DA per message3 000 DA buys about 3 000 messages

One message, the ordinary use

1 000 tokens sent× 249,63 DA per 1M0,25 DA
500 tokens back× 1 497,76 DA per 1M0,75 DA
Total≈ 1,00 DA

Every rate

Meter↑ you send↓ comes back
Text tokens249,63 DA1 497,76 DA
Cached tokens read24,96 DA
Picture tokens249,63 DA
Audio tokens499,25 DA
Cached audio tokens read49,93 DA

per 1M tokens

Web search · 4,66 DA per call

Answer a quick question≈ 0,41 DA
Read an invoice photo and pull out the total≈ 0,53 DA
Reply to a customer email≈ 0,75 DA
Translate a full page of text≈ 1,37 DA
Review a pull request of about 400 lines≈ 3,30 DA
When you pay
After the answer, from your balance. Nothing is held.
Why it varies
A longer question or a longer answer costs more.
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 · ↓ what comes back.

Google…
↑ Sent, per 1M
249,63 DA
↓ Back, per 1M
1 497,76 DA
Cache read
24,96 DA
Latency
…
Throughput
…
Provider↑ Sent↓ BackCache readLatencyThroughputUptime
Google249,63 DA1 497,76 DA24,96 DA………

Also charged: a web search 4,66 DA each · audio ↑ 499,25 DA per 1M audio tokens · audio cache read ↑ 49,93 DA per 1M audio tokens · images ↑ 249,63 DA per 1M image tokens.

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/chat/completions
Base URL
https://opendunes.com/v1
Model ID
google/gemini-3.5-flash:batch
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-3.5-flash:batch",
    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.

Parameters you can send

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_pstopseed

Reasoning

Let it think before answering — and see the thinking.

reasoningreasoning_effortinclude_reasoning

Structured output

Get JSON you can parse instead of prose.

response_formatstructured_outputs

Tools

Let the model call your functions.

toolstool_choice

Questions about Gemini 3.5 Flash (batch)

  • How much does Gemini 3.5 Flash (batch) cost in dinars?

    About 1,00 DA per message. ↑ 249,63 DA · ↓ 1 497,76 DA per 1M tokens.

  • Is Gemini 3.5 Flash (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 3.5 Flash (batch) best for?

    #2 for slide decks · A Gemini Flash that reaches close to Pro-level coding and reasoning, tuned for writing code and running agent loops in parallel, reading text, images, video, audio and PDFs, thinking at medium effort by default.

  • How do I pay for Gemini 3.5 Flash (batch) without an international card?

    Deposit dinars with your Edahabia or CIB card. Every model, Gemini 3.5 Flash (batch) included, is paid from that balance. No foreign card, no conversion.

  • Does Gemini 3.5 Flash (batch) work in Arabic, French or Darja?

    Google lists 101 languages the Gemini models understand and answer in, Arabic and French among them. Darja is not named.

  • Can it read PDFs, images or a whole book?

    It reads text, images, video, audio and PDFs. Up to 1M tokens in one request, about 1 000 pages. It writes up to 49 000 words at once.

  • Is Gemini 3.5 Flash (batch) open source?

    No. Google has not published its weights.

  • Who makes Gemini 3.5 Flash (batch), and when was it released?

    Google. Released 19 May 2026. It knows the world up to 1 January 2025.

Other Google models, priced in dinars

See all Google models
Gemini Omni 1.2 FlashGoogle · Nov 5, 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.

Searches the webThinks first130 pages at once
≈2,00 DAper message
View model
Gemini 3.8 Flash TTSGoogle · Sep 23, 2026

#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.

30 voices
≈3,02 DAper paragraph read aloud
View model

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.

Up to 14 references4K
≈24,60 DAper image
View model
Gemini Omni 1.1 FlashGoogle · Nov 4, 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.

Searches the webThinks first130 pages at once
≈2,00 DAper message
View model