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PLLuM for business: licence or API?

Short answer

PLLuM makes sense when a company needs a Polish language model in a controlled environment and has a repeatable, high-volume task. The model files are free, but a GPU server with upkeep costs about €493 a month. At a case with 3,000 input tokens and 500 output tokens, the Claude Sonnet 5.5 API costs €0.0098, so your own server wins on price only from about 50,200 cases a month.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
model on your server or in the cloud in the EU
quoted after the review
same work in application with EU cloud model
from €3,000
task, data and equipment analysis
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Polish AI models in companies: statistics 2026

50,200

cases a month, from which a GPU server with upkeep at €493 comes out cheaper than the Claude Sonnet 5.5 API. Scenario.

Figures checked: 22 October 2026

First, the choice for the company

Where to start
  • Control over documents

    PLLuM in the company's environment

    permissions, retention, deletion

  • A quick start, small traffic

    a model through an API

    the vendor's terms and the data flow

  • A steady, large volume

    PLLuM and a comparison with the API

    the cost of the server and its care

  • Hard reasoning, many languages

    a stronger model through an API

    quality and cost per case

PLLuM can handle one part of a process. Rules watch simple conditions, the model prepares an answer, and an employee approves the outcome. Such a split lets you measure the benefit without switching on the whole company at once.

The variant and the licence

PLLuM is a family of Polish language models developed for the public and private sectors. The PLLuM project site sorts the variants by licence, type and size. The instruct version follows instructions, chat is for conversation, and base is the base model.

Variants in the 2512 seriesLicence on the cardWhat it means for a company
PLLuM-4B, PLLuM-12BApache 2.0commercial use on the licence's terms
Llama-PLLuM-8B, Llama-PLLuM-70Bllama3.1the terms of the Llama 3.1 licence
-nc- variantsnon-commercialresearch and private use

The full name, series and licence are shown on the cards for PLLuM 12B Instruct, Llama-PLLuM 8B Instruct and Llama-PLLuM 70B Instruct. Record the card's address and the date you checked it in the project documentation. After a change of variant, check the licence again. All variants are in the PLLuM collection on Hugging Face.

What your own server costs, and what the API costs

Scenario: a case with 3,000 input tokens and 500 output tokens
Hetzner GEX45 GPU server
€214 a month net
Server upkeep
8 h (€279)
Your own model in total
€493 a month
One case on the Claude Sonnet 5.5 API
$0.011 (€0.0098)

Server break-even

about 50,200 cases a month

Price of the GEX45 server with 24 GB of GPU memory from Hetzner's page on 22 October 2026, without the one-off €209 fee. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. The API at Anthropic's rates, at the ECB rate of 1.1205 USD per euro on 22 October 2026. The upkeep time and the case size are the scenario's assumptions. Which PLLuM variant fits on this server, and at what quality, you check with a test.

Monthly API cost at different volumes, Claude Sonnet 5.5

A case: 3,000 input tokens and 500 output tokens. A GPU server with upkeep costs €493.

5,000 cases€49
20,000 cases€196
50,000 cases€491

Źródło: Anthropic, API pricing (2026) ↗

PLLuM rarely wins on price alone with small traffic. It wins on the requirement that documents stay inside the company, or with a large, steady volume. We gathered the hardware details in the article Polish LLM hardware, costs and GDPR.

A quality test before launch

Prepare 30 to 50 anonymised examples from one process: typical cases, hard ones, incomplete ones and some where the correct answer is to ask a person for help. Compare a PLLuM variant with a second variant, with the API and with a simpler rules-based method.

What to measure
  • Correctness and completeness of the answer
  • Agreement with the source document
  • Behaviour when the documents give no basis
  • The number of corrections an employee makes
  • Response time and the cost of one case

The 4B variant may be enough for classification and short answers, and 12B handles longer context better but needs a larger environment. That is a hypothesis to check in a test on cases from your process, with the result recorded against the full version name.

Where the data sits and who is responsible

Running the model in the company limits sending documents to an outside service, but it does not settle GDPR compliance. Settle the purpose and the legal basis for processing, the roles, access, retention and deletion. With sensitive data, the article on GDPR and the DPA when deploying AI will help. We choose the variant and compare it with the API as part of private LLMs.

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

A model on your server or in the cloud in the EU, proven on your tasks.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

Private AI models

A model on your server or in the cloud in the EU, proven on your tasks.

We select the model and equipment for the task, run it and measure the quality using your examples before you buy anything. The data stays in the company or in the cloud in the EU. We price implementation, hardware or hosting and support separately after analysis.

View private AI models →
model on your server or in the cloud in the EU
quoted after the review
same work in application with EU cloud model
from €3,000
task, data and equipment analysis
€0

Questions

  • Can PLLuM be used commercially?

    It depends on the variant. In the 2512 series, PLLuM-4B and PLLuM-12B carry the Apache 2.0 licence. Llama-PLLuM-8B and 70B fall under the Llama 3.1 licence. Variants marked -nc- are non-commercial. You check the licence on the model card.

  • How much does it cost to run PLLuM?

    The files are free. A Hetzner GEX45 GPU server costs €214 a month net. With 8 hours of upkeep that is about €493 a month. On top come the app, the documents, tests and maintenance.

  • When is the API better?

    With small or variable traffic and nobody to look after a server. In our scenario the Claude Sonnet 5.5 API is cheaper up to about 50,200 cases a month, and Claude Haiku 5.5 costs twenty times less than Sonnet.

  • Does your own server take care of GDPR?

    Not by itself. Where the model runs limits sending documents outside, but you settle the purpose, the legal basis for processing, the roles, access, retention and deletion separately.

  • How much does a deployment with PLLuM cost?

    At Syntalith an automation of one process and an AI app each cost from €3,000 net, and a typical implementation €3,000 to €17,500 net. We price infrastructure and maintenance separately.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.