opendunes

Ling 3.0 Flash

by InclusionaiReleased 23 July 2026

Ling 3.0 Flash is a text model from inclusionAI, built to finish automated tasks using less text, which keeps cost and waiting down. You send up to about 262 pages of text, with tools if you wish, and get text back. Use it for high-volume automated tasks where the amount of text used and speed set your limits.

TakesText
GivesText
Open in chatCreate API keyCompare

What it costs

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

≈ 0,017 DA per message3 000 DA buys about 170 000 messages

65 % offNovita has cut its price. Every figure here is the new one.

One message, the ordinary use

1 000 tokens sent× 6,99 DA per 1M0,0070 DA
500 tokens back× 20,97 DA per 1M0,010 DA
Total≈ 0,017 DA

Every rate

Meter↑ you send↓ comes back
Text tokens6,99 DA20,97 DA
Cached tokens read1,40 DA

per 1M tokens

Answer a quick question≈ 0,0063 DA
Reply to a customer email≈ 0,013 DA
Write a one-page draft≈ 0,021 DA
Translate a full page of text≈ 0,022 DA
Explain a stack trace and suggest a fix≈ 0,023 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

Two 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 · ↓ what comes back.

Novita65 % off…
↑ Sent, per 1M
Was 19,976,99 DA
↓ Back, per 1M
Was 59,9120,97 DA
Cache read
Was 4,001,40 DA
Latency
…
Throughput
…
DeepInfraUnited States…
↑ Sent, per 1M
19,97 DA
↓ Back, per 1M
59,91 DA
Cache read
3,99 DA
Latency
…
Throughput
…
Provider↑ Sent↓ BackCache readLatencyThroughputUptime
Novita65 % offWas 19,976,99 DAWas 59,9120,97 DAWas 4,001,40 DA………
DeepInfraUnited States19,97 DA59,91 DA3,99 DA………

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.

See it in action

Real requests, real replies. Try any of them yourself — one click, pre-filled.

Writing
You send

Two lines to welcome a shop in Oran.

It replied

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 Lab

Try your own request — same model, pre-selected.

Open Chat Lab

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
inclusionai/ling-3.0-flash
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="inclusionai/ling-3.0-flash",
    messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)

print(resp.choices[0].message.content)
pip install openaiFull reference for this route
Sign in to run it

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_ptop_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_penaltylogit_biaslogprobstop_logprobs

Reasoning

Let it think before answering — and see the thinking.

reasoninginclude_reasoning

Structured output

Get JSON you can parse instead of prose.

response_format

Tools

Let the model call your functions.

toolstool_choice

Questions about Ling 3.0 Flash

  • How much does Ling 3.0 Flash cost in dinars?

    About 0,017 DA per message. Was 0,049 DA. ↑ 6,99 DA · ↓ 20,97 DA per 1M tokens.

  • Is Ling 3.0 Flash free? Can I try it?

    No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.

  • What is Ling 3.0 Flash best for?

    Ling 3.0 Flash is a text model from inclusionAI, built to finish automated tasks using less text, which keeps cost and waiting down. You send up to about 262 pages of text, with tools if you wish, and get text back. Use it for high-volume automated tasks where the amount of text used and speed set your limits.

  • Ling 3.0 Flash or Ling 3.0 Tiny?

    Ling 3.0 Tiny costs 0,0050 DA less for the same message.

  • How do I pay for Ling 3.0 Flash without an international card?

    Deposit dinars with your Edahabia or CIB card. Every model, Ling 3.0 Flash included, is paid from that balance. No foreign card, no conversion.

  • Does Ling 3.0 Flash work in Arabic, French or Darja?

    Inclusionai names no languages for Ling 3.0 Flash. Arabic, French and Darja: not stated.

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

    It reads text. Up to 262K tokens in one request, about 260 pages. It writes up to 25 000 words at once.

  • Is Ling 3.0 Flash open source?

    Yes, its weights are public. Open weights on Hugging Face

  • Who makes Ling 3.0 Flash, and when was it released?

    Inclusionai. Released 23 July 2026.

Other Inclusionai models, priced in dinars

See all Inclusionai models
Ling 3.1 FlashInclusionai · Oct 2, 2026

Ling 3.1 Flash is a text model from inclusionAI that mixes quick answers with thinking first. It reads up to about 262 pages at once, can write up to about 236 pages in a single reply, and can use tools or fill in an exact form you give it. Pick it when one request needs a very long answer.

Thinks firstUses your tools1 000 pages at once
≈0,037 DAper message
View model
Ling 3.0 Flash VLInclusionai · Sep 10, 2026

Ling 3.0 Flash VL reads text, pictures and video and answers in text, so you can send a screenshot, a photo or a clip along with your question. It can switch between an instant answer and thinking first, and it can use tools, which suits automated helpers that must act on what is on a screen. It reads about 131 pages at once.

Thinks firstUses your tools130 pages at once
≈0,050 DAper message
View model
Ling 3.0 TinyInclusionai · Nov 5, 2026

This model processes text input up to 260 pages and produces text output up to 250 pages. It is best suited for complex instruction following and managing multi-turn conversations for automated workflows. A key feature is its ability to act as a responsive agent and utilize provided tools. However, it does not have the capability to search the web or access external information.

Thinks firstUses your tools260 pages at once
≈0,012 DAper message
View model