opendunes

LFM3-1.7B

New

by LiquidReleased 6 November 2026

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.

TakesText
GivesText
Open in chatCreate API keyCompare

What it costs

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

≈ 0,060 DA per message3 000 DA buys about 50 000 messages

One message, the ordinary use

1 000 tokens sent× 26,63 DA per 1M0,027 DA
500 tokens back× 66,57 DA per 1M0,033 DA
Total≈ 0,060 DA

Every rate

Meter↑ you send↓ comes back
Text tokens26,63 DA66,57 DA
Cached tokens read6,66 DA

per 1M tokens

Processing a standard query≈ 0,060 DA
Generating a maximum length responseat most 5,41 DA
Reviewing a large document for summaries≈ 6,93 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.

Liquid…
↑ Sent, per 1M
26,63 DA
↓ Back, per 1M
66,57 DA
Cache read
6,66 DA
Latency
…
Throughput
…
Provider↑ Sent↓ BackCache readLatencyThroughputUptime
Liquid26,63 DA66,57 DA6,66 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.

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
liquid/lfm-3-1.7b
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-3-1.7b",
    messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)

print(resp.choices[0].message.content)
pip install openaiFull reference for this route
Sign in to run it

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_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

Other

Also accepted by this model.

max_completion_tokens

Questions about LFM3-1.7B

  • How much does LFM3-1.7B cost in dinars?

    About 0,060 DA per message. ↑ 26,63 DA · ↓ 66,57 DA per 1M tokens.

  • Is LFM3-1.7B 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 LFM3-1.7B best for?

    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.

  • How do I pay for LFM3-1.7B without an international card?

    Deposit dinars with your Edahabia or CIB card. Every model, LFM3-1.7B included, is paid from that balance. No foreign card, no conversion.

  • Does LFM3-1.7B work in Arabic, French or Darja?

    Liquid names no languages for LFM3-1.7B. 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 6 000 words at once.

  • Is LFM3-1.7B open source?

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

  • Who makes LFM3-1.7B, and when was it released?

    Liquid. Released 6 November 2026.

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