by InclusionaiReleased 10 September 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.
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 | 19,97 DA | 59,91 DA |
| Cached tokens read | 3,99 DA |
per 1M tokens
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 15:20 · 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 LabTurn this customer email into JSON with intent, urgency and order_id.
customer-email.txtTry 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="inclusionai/ling-3.0-flash-vl",
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_ptop_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_penaltylogit_biasReasoning
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_choiceAbout 0,050 DA per message. ↑ 19,97 DA · ↓ 59,91 DA per 1M tokens.
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
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.
Ling 3.0 Tiny costs 0,038 DA less for the same message.
Deposit dinars with your Edahabia or CIB card. Every model, Ling 3.0 Flash VL included, is paid from that balance. No foreign card, no conversion.
Inclusionai names no languages for Ling 3.0 Flash VL. 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 25 000 words at once.
Yes, its weights are public. Open weights on Hugging Face
Inclusionai. Released 10 September 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.
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.
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.
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
Can call functions your code provides.
Fills your JSON
Answers in the JSON shape you give it.
Searches the web No.
Can look things up online while it answers.
Cheaper on repeats
A prompt it saw a moment ago costs less the second time.
Open weights
The model's weights are public.
Run a visual agent that reads screenshots and clicks through a task
Images · Uses your tools
Summarise what happens in a short video
Video
Read a scanned invoice and return its fields as JSON
Images · Fills your JSON