Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtLing 3.0 Tiny
Newby 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.
What it costs
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 | 4,99 DA | 14,98 DA |
| Cached tokens read | 1,00 DA |
per 1M tokens
- 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.
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.
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.
Two 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 LabCall 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.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_logprobsReasoning
Let it think before answering — and see the thinking.
reasoninginclude_reasoningStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsTools
Let the model call your functions.
toolstool_choiceQuestions 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
See all Inclusionai modelsLing 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 3.1 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.
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.
