by Liquid·Released 27 October 2026
This model accepts both text and images to understand a current situation. It can process up to 65 pages of information and generate up to 58 pages of structured choices. Its primary purpose is to act as a decision-making system, taking a defined state and specific questions to output a clear choice. Because it is built for structured outcomes, it is not suited for tasks requiring open-ended creative generation.
You pay for what each request uses. No subscription, no minimum.
One case, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 6,66 DA | |
| Cached tokens read | 6,66 DA |
per 1M tokens
One company runs this model. OpenDunes sends every request to it. DA per 1M tokens: ↑ what you send.
| Provider | ↑ Sent | Latency | Uptime |
|---|---|---|---|
| Liquid | 6,66 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.
One HTTP call, with your questions named as you like.
import os, requests
BASE = "https://opendunes.com"
KEY = os.environ["OPENDUNES_API_KEY"]
H = {"Authorization": f"Bearer {KEY}"}
resp = requests.post(f"{BASE}/alpha/decisions", headers=H, json={
"model": "liquid/d1.1",
"state": "The courier came two days late and the box was open.",
"questions": {
"is_complaint": {
"type": "noul",
"instructions": "Is it a complaint?",
"criteria": {
"true": "The customer is unhappy with the service.",
"false": "The customer is asking a question or saying thanks.",
},
},
},
})
print(resp.json())Runs this request once on your balance.
About 0,0067 DA per case. ↑ 6,66 DA per 1M tokens.
No. You pay per use from your balance, with no subscription. Run it once from Call it in code, at the same price.
This model accepts both text and images to understand a current situation. It can process up to 65 pages of information and generate up to 58 pages of structured choices. Its primary purpose is to act as a decision-making system, taking a defined state and specific questions to output a clear choice. Because it is built for structured outcomes, it is not suited for tasks requiring open-ended creative generation.
Deposit dinars with your Edahabia or CIB card. Every model, d1.1 included, is paid from that balance. No foreign card, no conversion.
Liquid names no languages for d1.1. Arabic, French and Darja: not stated.
Yes or no, one choice from your list, or a score on your scale. Each answer comes with its probability.
Liquid. Released 27 October 2026.
Liquid d1 takes a situation described in text and pictures, plus questions of a fixed kind, and answers each with a yes or no, a score or a pick from options, with a probability and never with written text. Use it to route requests, sort items and run policy checks where you want a fast, scored answer to act on. It reads about 65 pages at once.
Liquid d1-ultra is the largest decision model from Liquid AI. You send a situation made of words and pictures with questions of a fixed kind, and for each one you get a yes or no, a score or a pick from a list, with a probability and no written text. It suits moderation, routing, sorting and checks on pictures.
LFM2.5-24B-A2B is a Liquid AI model that thinks before it answers. You send text along with descriptions of your tools, and it thinks first, then either answers or uses a tool. It reads about 128 pages and writes up to 8 pages, so use it for automated helpers that use tools. Liquid recommends giving it document search or web search on questions that rest on facts, so pick a larger model when you have no search to offer.
This model processes text input and generates text responses, capable of handling up to 260 pages of reading material and producing outputs up to 8.1 pages long. It is specifically designed to think through problems before providing an answer, making it suitable for complex tasks that require careful consideration. This approach sets it apart from other models by prioritizing internal reasoning. However, it cannot access real-time information from the internet.
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.
Analyze an image and a description to select the best course of action
Review a large document detailing a system state and provide a definitive choice
Process a set of typed questions against a provided state to return a structured decision