Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtLFM2.5-2.6B
by LiquidReleased 11 August 2026
This model takes text input and produces text output, capable of processing up to 120 pages of material at once and generating responses up to 8.1 pages long. It is best suited for complex data extraction and managing automated workflows that require careful thought before responding. What sets it apart is its ability to utilize external tools to achieve its goals, while remaining a compact and efficient option. However, it cannot search the internet independently, and it is not designed for advanced coding projects.
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 | 116,49 DA | 166,42 DA |
| Cached tokens read | 13,31 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="liquid/lfm-2.5-2.6b",
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_ptop_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_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_choiceOther
Also accepted by this model.
max_completion_tokensQuestions about LFM2.5-2.6B
How much does LFM2.5-2.6B cost in dinars?
About 0,20 DA per message. ↑ 116,49 DA · ↓ 166,42 DA per 1M tokens.
Is LFM2.5-2.6B 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 LFM2.5-2.6B best for?
This model takes text input and produces text output, capable of processing up to 120 pages of material at once and generating responses up to 8.1 pages long. It is best suited for complex data extraction and managing automated workflows that require careful thought before responding. What sets it apart is its ability to utilize external tools to achieve its goals, while remaining a compact and efficient option. However, it cannot search the internet independently, and it is not designed for advanced coding projects.
LFM2.5-2.6B or LFM2.5-24B-A2B?
LFM2.5-24B-A2B costs 0,070 DA less for the same message.
How do I pay for LFM2.5-2.6B without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, LFM2.5-2.6B included, is paid from that balance. No foreign card, no conversion.
Does LFM2.5-2.6B work in Arabic, French or Darja?
Liquid names no languages for LFM2.5-2.6B. Arabic, French and Darja: not stated.
Can it read PDFs, images or a whole book?
It reads text. Up to 128K tokens in one request, about 120 pages. It writes up to 6 000 words at once.
Is LFM2.5-2.6B open source?
Yes, its weights are public. Open weights on Hugging Face
Who makes LFM2.5-2.6B, and when was it released?
Liquid. Released 11 August 2026.
Other Liquid models, priced in dinars
See all Liquid modelsLiquid 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.
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.
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.