opendunes

Ling 3.0 Tiny

New

by InclusionaiReleased 5 November 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.

TakesText
GivesText

What it costs

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

≈ 0,012 DA per message3 000 DA buys about 240 000 messages

One message, the ordinary use

1 000 tokens sent× 4,99 DA per 1M0,0050 DA
500 tokens back× 14,98 DA per 1M0,0075 DA
Total≈ 0,012 DA

Every rate

Meter↑ you send↓ comes back
Text tokens4,99 DA14,98 DA
Cached tokens read1,00 DA

per 1M tokens

Generating a short code snippet based on a prompt≈ 0,0025 DA
Processing a request that requires the use of an external tool≈ 0,0070 DA
Answering a complex query based on provided text≈ 0,012 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.

Ant DigitalAsia…
↑ Sent, per 1M
4,99 DA
↓ Back, per 1M
14,98 DA
Cache read
1,00 DA
Latency
…
Throughput
…
Provider↑ Sent↓ BackCache readLatencyThroughputUptime
Ant DigitalAsia4,99 DA14,98 DA1,00 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.

See it in action

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

Structured output
You send

Turn this customer email into JSON with intent, urgency and order_id.

customer-email.txt
It replied

{ "intent": "refund", "urgency": "high", "order_id": "OD-58421" }

Try in Chat Lab
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-tiny
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-tiny",
    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_pstopseedfrequency_penaltypresence_penaltylogprobstop_logprobs

Reasoning

Let it think before answering — and see the thinking.

reasoninginclude_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 Ling 3.0 Tiny

  • How much does Ling 3.0 Tiny cost in dinars?

    About 0,012 DA per message. ↑ 4,99 DA · ↓ 14,98 DA per 1M tokens.

  • Is Ling 3.0 Tiny 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 Tiny best for?

    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.

  • Ling 3.0 Tiny or Ling 3.0 Flash VL?

    Ling 3.0 Flash VL costs 0,038 DA more for the same message.

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

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

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

    Inclusionai names no languages for Ling 3.0 Tiny. 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 188 000 words at once.

  • Is Ling 3.0 Tiny open source?

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

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

    Inclusionai. Released 5 November 2026.

Other Inclusionai models, priced in dinars

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Ling 3.0 FlashInclusionai · Jul 23, 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.

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≈0,017 DAper message
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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
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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
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