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PLLuM and Bielik for business: choose a Polish model

Short answer

PLLuM and Bielik are two families of Polish language models that you can run in your own environment. The choice depends on the specific variant: its licence, its terms of use, its GPU memory and its result on 50 to 100 cases from the company's process. In 2026 research Bielik wins once and PLLuM once, depending on the corpus and the method.

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 language models: statistics 2026

48 GB

of GPU memory is what PLLuM-12B needs in production according to the project's table, so a 24 GB server is not enough. For Bielik 11B you check a quantised version or a larger card.

Figures checked: 22 October 2026

A quick decision table

QuestionPLLuMBielik
Who develops ita consortium led by NASK PIBthe SpeakLeash Foundation and ACK Cyfronet AGH
Licencedepends on the variant: Apache 2.0, Llama 3.1 or non-commercialApache 2.0 for the v3.0 versions according to the cards
Additional termsaccording to the variant's cardterms of use that forbid processing personal data
GPU memory12B about 48 GB, 70B about 168 GB in productionchecked for the chosen version and quantisation
RAG resultmatched 70B on Polish Wikipedia (EACL 2026)better than PLLuM-12B on technical documentation (LREC 2026)

The table does not replace a pilot. The family name does not tell you how the model will handle invoices, correspondence or the vocabulary of your sector. The studies differ in model version, corpus, questions and evaluation method, so the phrase „the best Polish model” needs those details.

The licence of the specific variant

PLLuM is available in several variants on the project website and in the CYFRAGOVPL organisation. Bielik version 3.0 has cards on the SpeakLeash account, and the terms of use supplement the Apache 2.0 licence. Results of a non-commercial variant cannot decide the purchase of a variant you are allowed to deploy.

A decision card before commercial use
  • The name and version of the model
  • The address of the card and the licence file
  • The terms of use and any limits on data
  • The owner of the decision on the company's side
  • A fresh check when the version changes

When PLLuM, and when Bielik

Which model to test first
  • The buyer requires a trace of the model's origin

    PLLuM in a variant with a commercial licence

    a test on 50 to 100 cases

  • Technical documentation and RAG

    Bielik 11B and PLLuM-12B on the same questions

    a test on 50 to 100 cases

  • Personal data in the process

    PLLuM or an API model under a processing agreement

    an assessment with the DPO before the test

PLLuM matters to organisations that value the documented origin of a project and can start the analysis from the cards published by the CYFRAGOVPL organisation. Rule it out at this stage when the team only says „let's take the newest PLLuM” without naming the variant and the licence. Bielik is worth testing on documents without personal data, because its terms of use exclude such processing. In both cases maintaining the model is part of the project, and a one-off download of the file does not finish it.

A test before you buy a server

Prepare 50 to 100 cases from one process with the expected result and the allowed sources. Run the same set on PLLuM, Bielik and one model through an API. Compare accuracy, faithfulness to the source, behaviour when data are missing and the number of corrections an employee makes.

When your own server beats the API
Hetzner GEX45 GPU server, 24 GB
€214 a month
Upkeep 8 h × €34.90
€279
One case on the API, 3,000 + 1,000 tokens on Claude Sonnet 5.5
$0.016 (€0.01428)

Break-even

(€214 + €279) ÷ €0.01428 = about 34,540 cases a month

Scenario. A model that needs more than 24 GB needs a bigger server, for example the GEX63 at €999 a month, which raises the threshold. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. 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. The API at Anthropic's rates, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

Below the threshold the API is cheaper, unless the data must not reach a model provider. In that case the requirement decides, and the count shows what it costs. Hardware and the GDPR are covered in the article on deploying a Polish model, and we build the app on the chosen model as part of private LLMs. In the free analysis we choose the process for the test.

Worked example · Scenario

How we count the payback: a Polish model in an organisation

We run the same count for your organisation in the free analysis.

€3,490

a month for the work on 600 questions

EU cloud version payback: 1 mo.

Our assumptions are 10 minutes to find an instruction, and checking in 15% of the old time. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: Claude Sonnet 5.5, about 6,000 + 500 tokens per answer in the EU cloud version, at the ECB rate of 1.1205 USD per euro on 22 October 2026. We count the payback for an app with a model in the EU cloud (from €3,000 net). We price the model on your server after a call, and the cost of people's work stays the same.

See the full calculation →

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

  • PLLuM or Bielik: which Polish model should you choose?

    The one whose variant has a licence that fits your use and does better on 50 to 100 cases from your process. At LREC 2026 Bielik-11B outperformed PLLuM-12B in RAG on technical documentation, and at EACL 2026 PLLuM-12B matched 70B models on Polish Wikipedia.

  • Can PLLuM be used commercially?

    It depends on the variant. According to the cards of the 2512 series, PLLuM-4B and 12B are licensed under Apache 2.0, Llama-PLLuM-8B and 70B under the Llama 3.1 licence, and variants marked nc are non-commercial.

  • Can Bielik process personal data?

    The Bielik-11B-v3.0 card gives the Apache 2.0 licence, but the Bielik 3.0 terms of use, version 1.1 of 31 July 2025, forbid using the model to process any personal data. Before a rollout on personal data, clarify this with the SpeakLeash foundation or a lawyer.

  • How much does deploying a Polish model cost?

    The model files are free of charge. At Syntalith an app on a private model costs from €3,000 net plus a GPU server, for example a Hetzner GEX63 with 96 GB at €999 a month for models that need more than 24 GB.

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.