{"id":11539,"date":"2026-01-19T13:05:28","date_gmt":"2026-01-19T12:05:28","guid":{"rendered":"https:\/\/prosteit.pl\/?post_type=aktualnosci&#038;p=11539"},"modified":"2026-01-19T13:06:53","modified_gmt":"2026-01-19T12:06:53","slug":"white-tailed-eagle-ai-in-2026-comparison","status":"publish","type":"aktualnosci","link":"https:\/\/prosteit.pl\/en\/news\/white-tailed-eagle-ai-in-2026-comparison\/","title":{"rendered":"Bielik AI in 2026: how does the Polish model compare to ChatGPT, Claude and Gemini?"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"11539\" class=\"elementor elementor-11539\" data-elementor-post-type=\"aktualnosci\">\n\t\t\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-30b222d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"30b222d\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d169b6e\" data-id=\"d169b6e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-051009c elementor-widget elementor-widget-text-editor\" data-id=\"051009c\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-start=\"11\" data-end=\"441\">Polish project <strong data-start=\"26\" data-end=\"67\"><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">White-tailed Eagle AI<\/span><\/span><\/strong> It&#039;s increasingly appearing in conversations about large language models\u2014not just as a curiosity &quot;made in Poland,&quot; but as a viable alternative for specific applications. By 2026, Bielik already has several mature versions, its own benchmarks, and a growing number of implementations, which naturally raises the question: how does it compare to global giants like ChatGPT, Claude, or Gemini?<\/p>\n<p data-start=\"443\" data-end=\"843\" data-is-last-node=\"\" data-is-only-node=\"\">This article is neither an uncritical eulogy nor an attempt to prove that &quot;Polish AI is the best in the world.&quot; Instead, we look at the facts\u2014technical reports, research results, and real-world use cases\u2014to see, <strong data-start=\"682\" data-end=\"735\">where the White-tailed Eagle is actually doing very well<\/strong>, where it has limitations and <strong data-start=\"761\" data-end=\"842\">when his choice makes more sense than reaching for commercial models from overseas<\/strong>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-78c63b5 elementor-widget elementor-widget-image\" data-id=\"78c63b5\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"948\" src=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/bielik-w-2026-roku-prosteit.webp\" class=\"attachment-full size-full wp-image-11566\" alt=\"\" srcset=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/bielik-w-2026-roku-prosteit.webp 1024w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/bielik-w-2026-roku-prosteit-300x278.webp 300w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/bielik-w-2026-roku-prosteit-768x711.webp 768w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/bielik-w-2026-roku-prosteit-13x12.webp 13w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f7e0911 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"f7e0911\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-818021e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"818021e\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7345c0e\" data-id=\"7345c0e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4cb9577 elementor-widget elementor-widget-text-editor\" data-id=\"4cb9577\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"jak-bardzo-podrozal-ram\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 data-start=\"0\" data-end=\"51\"><span style=\"color: #f94d1c; font-size: 24px;\">What has changed in Bielik in recent months?<\/span><\/h2>\n<p data-start=\"53\" data-end=\"351\">In the second half of 2025 and at the turn of the year (end of 2025 - January 2026) changes took place around Bielik, which are turning it into more and more of a &quot;Polish LLM for testing&quot; <strong data-start=\"213\" data-end=\"251\">a mature family of models and tools<\/strong> \u2013 with a clear direction: good Polish, reasonable efficiency and real usability in implementations.<\/p>\n<p data-start=\"353\" data-end=\"377\">The most important changes are:<\/p>\n<ul data-start=\"379\" data-end=\"1724\">\n<li data-start=\"379\" data-end=\"741\">\n<p data-start=\"381\" data-end=\"741\"><strong data-start=\"381\" data-end=\"416\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>Debut of Bielik-11B v3.0 Instruct<\/strong> \u2013 a publicly available instructional version (Instruct), described as the next step in the v2 line. The model card highlights, among other things, training using HPC resources (Athena\/Helios) and a strong emphasis on multilingual quality in Europe (while maintaining priority for Polish).<\/p>\n<\/li>\n<li data-start=\"742\" data-end=\"1139\">\n<p data-start=\"744\" data-end=\"1139\"><strong data-start=\"744\" data-end=\"829\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>Establishing the &quot;small&quot; Bielik v3 (1.5B and 4.5B) as a fully-fledged project branch<\/strong> \u2013 along with the v3 Small technical report. This is important because it&#039;s not a &quot;stripped-down version of the large model,&quot; but a conscious approach: better efficiency in Polish thanks to, among other things, a proprietary tokenizer and training solutions that are designed to improve quality without inflating parameters.<\/p>\n<\/li>\n<li data-start=\"1140\" data-end=\"1423\">\n<p data-start=\"1142\" data-end=\"1423\"><strong data-start=\"1142\" data-end=\"1202\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>Better availability for running locally (self-hosted)<\/strong> \u2013 next to the publications on Hugging Face, you can also see distribution channels typical of the \u201elocal LLM\u201d world, e.g. packages for Ollama (which really lowers the entry threshold for testing on your own equipment).<\/p>\n<\/li>\n<li data-start=\"1424\" data-end=\"1724\">\n<p data-start=\"1426\" data-end=\"1724\"><strong data-start=\"1426\" data-end=\"1495\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>More \u201eexternal\u201d verification and pressure to standardize tests<\/strong> \u2013 public applications for evaluation in initiatives such as EuroEval appear (this is a signal that the community wants to compare models in a structured way, and not just based on impressions).<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1726\" data-end=\"1977\">In practice, this means that &quot;Bielik in 2026&quot; is no longer one model, but <strong data-start=\"1798\" data-end=\"1811\">ecosystem<\/strong>: from small versions (cheaper to run), through medium\/larger instructional variants, to an increasingly mature approach to comparing results and distribution.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-194fe91 elementor-widget elementor-widget-image\" data-id=\"194fe91\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"640\" height=\"360\" src=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/bielik-ai-polska.png\" class=\"attachment-full size-full wp-image-11567\" alt=\"What is Bald Eagle AI, implementation, service, consulting\" srcset=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/bielik-ai-polska.png 640w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/bielik-ai-polska-300x169.png 300w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/bielik-ai-polska-18x10.png 18w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-79e4f77 elementor-widget elementor-widget-text-editor\" data-id=\"79e4f77\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"przyczyny-wzrostu-cen-pamieci-ram\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 data-start=\"0\" data-end=\"73\"><span style=\"color: #f94d1c; font-size: 24px;\">How to even measure &quot;how good a model is&quot; - criteria that make sense<\/span><\/h2>\n<p data-start=\"75\" data-end=\"491\">Comparing language models can easily be reduced to one question: <em data-start=\"150\" data-end=\"173\">which one is the best?<\/em> The problem is that in practice <strong data-start=\"203\" data-end=\"256\">there is no single universal measure of &quot;AI quality&quot;\u201e<\/strong>. Whether a particular model is &quot;good&quot; depends on this <strong data-start=\"306\" data-end=\"370\">what it is to be used for, in what language and under what conditions<\/strong>. Therefore, before comparing Bielik with global giants, it&#039;s worth sorting out the criteria that actually matter.<\/p>\n<h3 data-start=\"493\" data-end=\"542\"><span style=\"color: #f94d1c; font-size: 20px;\">Benchmarks \u2013 useful, but not sufficient<\/span><\/h3>\n<p data-start=\"544\" data-end=\"949\">Benchmarks are standardized tests that assess, among other things, text comprehension, reasoning, and response generation. They are necessary because they allow for comparison of models under similar conditions, but they have significant limitations. They often examine <strong data-start=\"778\" data-end=\"807\">narrow range of skills<\/strong>, are prone to &quot;learning to the test&quot; and rarely reflect real working conditions, e.g. with company documents or unstructured data.<\/p>\n<p data-start=\"951\" data-end=\"1084\">Therefore, a high benchmark score does not always mean that the model will be suitable for everyday use \u2013 especially outside of English.<\/p>\n<h3 data-start=\"1086\" data-end=\"1116\"><span style=\"color: #f94d1c; font-size: 20px;\">Language and cultural context<\/span><\/h3>\n<p data-start=\"1118\" data-end=\"1332\">One of the most frequently overlooked criteria is <strong data-start=\"1165\" data-end=\"1201\">quality of work in a specific language<\/strong>. Models trained primarily on English-language data may achieve excellent results globally, but in practice may perform worse with:<\/p>\n<ul data-start=\"1333\" data-end=\"1431\">\n<li data-start=\"1333\" data-end=\"1351\">\n<p data-start=\"1335\" data-end=\"1351\">\u2022 complex inflection,<\/p>\n<\/li>\n<li data-start=\"1352\" data-end=\"1363\">\n<p data-start=\"1354\" data-end=\"1363\">\u2022 idioms,<\/p>\n<\/li>\n<li data-start=\"1364\" data-end=\"1397\">\n<p data-start=\"1366\" data-end=\"1397\">\u2022 legal or official language,<\/p>\n<\/li>\n<li data-start=\"1398\" data-end=\"1431\">\n<p data-start=\"1400\" data-end=\"1431\">\u2022 local cultural context.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1433\" data-end=\"1575\">In this sense, a model that is &quot;weaker&quot; in terms of parameters, but trained with a given language in mind, is simply <strong data-start=\"1528\" data-end=\"1550\">more useful<\/strong> in specific tasks.<\/p>\n<h3 data-start=\"1577\" data-end=\"1616\"><span style=\"color: #f94d1c; font-size: 20px;\">Response stability and hallucinations<\/span><\/h3>\n<p data-start=\"1618\" data-end=\"1834\">More and more attention is paid to this, <strong data-start=\"1660\" data-end=\"1711\">how the model behaves when it doesn&#039;t know the answer<\/strong>. From the perspective of a business or administrative user, it is important not only <em data-start=\"1794\" data-end=\"1799\">Whether<\/em> the model will respond, but <em data-start=\"1819\" data-end=\"1824\">How<\/em> this will do:<\/p>\n<ul data-start=\"1835\" data-end=\"1950\">\n<li data-start=\"1835\" data-end=\"1870\">\n<p data-start=\"1837\" data-end=\"1870\">\u2022 whether it clearly signals uncertainty,<\/p>\n<\/li>\n<li data-start=\"1871\" data-end=\"1904\">\n<p data-start=\"1873\" data-end=\"1904\">\u2022 whether he tries to &quot;add&quot; facts,<\/p>\n<\/li>\n<li data-start=\"1905\" data-end=\"1950\">\n<p data-start=\"1907\" data-end=\"1950\">\u2022 whether he or she can stick to the sources (e.g. in RAG).<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1952\" data-end=\"2183\">Research shows that <strong data-start=\"1973\" data-end=\"2034\">Hallucinations are not only a problem of &quot;weaker&quot; models<\/strong> \u2013 are also found in the most advanced commercial solutions. This means that &quot;computing power&quot; alone does not solve the quality problem.<\/p>\n<h3 data-start=\"2185\" data-end=\"2222\"><span style=\"color: #f94d1c; font-size: 20px;\">Controllable and customizable<\/span><\/h3>\n<p data-start=\"2224\" data-end=\"2318\">Another criterion that cannot be included in a simple ranking is <strong data-start=\"2293\" data-end=\"2317\">control over the model<\/strong>:<\/p>\n<ul data-start=\"2319\" data-end=\"2463\">\n<li data-start=\"2319\" data-end=\"2353\">\n<p data-start=\"2321\" data-end=\"2353\">\u2022 can it be run locally,<\/p>\n<\/li>\n<li data-start=\"2354\" data-end=\"2398\">\n<p data-start=\"2356\" data-end=\"2398\">\u2022 can it be tuned to your own data,<\/p>\n<\/li>\n<li data-start=\"2399\" data-end=\"2463\">\n<p data-start=\"2401\" data-end=\"2463\">\u2022 whether the method of operation is relatively predictable and repeatable.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2465\" data-end=\"2577\">For many organizations, these issues are more important than whether the model will generate the most \u201ebrilliant\u201d answer.<\/p>\n<h3 data-start=\"2579\" data-end=\"2632\"><span style=\"color: #f94d1c; font-size: 20px;\">The model is not everything \u2013 the entire pipeline counts\u201e<\/span><\/h3>\n<p data-start=\"2634\" data-end=\"2855\">In practice, users don&#039;t work with a &quot;bare model,&quot; but with the entire process: input data, knowledge retrieval, response validation, and interface. The same model can perform very differently depending on whether:<\/p>\n<ul data-start=\"2856\" data-end=\"2977\">\n<li data-start=\"2856\" data-end=\"2893\">\n<p data-start=\"2858\" data-end=\"2893\">\u2022 has access to current documents,<\/p>\n<\/li>\n<li data-start=\"2894\" data-end=\"2934\">\n<p data-start=\"2896\" data-end=\"2934\">\u2022 uses semantic search,<\/p>\n<\/li>\n<li data-start=\"2935\" data-end=\"2977\">\n<p data-start=\"2937\" data-end=\"2977\">\u2022 his answers are additionally checked.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2979\" data-end=\"3136\">Therefore, comparisons like &quot;Bielik vs ChatGPT&quot; only make sense if they take into account <strong data-start=\"3066\" data-end=\"3097\">specific use case<\/strong>, not the abstract &quot;who is better&quot;.<\/p>\n<p data-start=\"3138\" data-end=\"3377\" data-is-last-node=\"\" data-is-only-node=\"\">In this context, the rest of the article will focus on specifics: <strong data-start=\"3206\" data-end=\"3254\">How Bielik performs in Polish language tests<\/strong> and where his approach gives a real advantage over models designed primarily with the global, English-speaking market in mind.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-381e313 elementor-widget elementor-widget-text-editor\" data-id=\"381e313\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"prognozy-na-kolejne-lata\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 data-start=\"0\" data-end=\"44\"><span style=\"color: #f94d1c; font-size: 24px;\">Bielik&#039;s results in tests for the Polish language<\/span><\/h2>\n<p data-start=\"46\" data-end=\"448\">To talk about Bielik&#039;s &quot;form&quot; honestly, it is worth relying on tests that <strong data-start=\"121\" data-end=\"157\">they realistically measure tasks in Polish<\/strong> (classification, QA, text comprehension), not just chat experience. In practice, the most frequently cited benchmark is <strong data-start=\"285\" data-end=\"312\">Open PL LLM Leaderboard<\/strong> (5-shot) which tests NLP competencies in Polish, but <strong data-start=\"368\" data-end=\"409\">does not measure typical conversation\/chat<\/strong>.<\/p>\n<p data-start=\"450\" data-end=\"514\">The hardest results that can be safely quoted:<\/p>\n<ul data-start=\"516\" data-end=\"1919\">\n<li data-start=\"516\" data-end=\"785\">\n<p data-start=\"518\" data-end=\"785\"><strong data-start=\"518\" data-end=\"542\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>Bielik-11B-v2 (base)<\/strong> achieves LLM Leaderboard at Open PL <strong data-start=\"577\" data-end=\"594\">average 58.14<\/strong>. For context: in the same table, Mistral-7B-v0.2 has <strong data-start=\"649\" data-end=\"658\">38.81<\/strong>, and Bielik-7B-v0.1 <strong data-start=\"677\" data-end=\"686\">34.34<\/strong> \u2013 which shows the scale of the qualitative leap in the Bielik family.<\/p>\n<\/li>\n<li data-start=\"786\" data-end=\"1098\">\n<p data-start=\"788\" data-end=\"1098\"><strong data-start=\"788\" data-end=\"818\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>Bielik-11B-v2.x (Instruct)<\/strong> in the technical report it comes out even stronger: e.g. <strong data-start=\"870\" data-end=\"906\">Bielik-11B-v2.3-Instruct = 65.87<\/strong>, and the list includes, among others:. <strong data-start=\"947\" data-end=\"984\">Meta-Llama-3-70B-Instruct = 64.45<\/strong> (i.e. Bielik is in the very top in this particular PL test).<\/p>\n<\/li>\n<li data-start=\"1099\" data-end=\"1509\">\n<p data-start=\"1101\" data-end=\"1509\"><strong data-start=\"1101\" data-end=\"1156\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>Bielik v3 Small (smaller models, but &quot;for Polish use&quot;)<\/strong>: in the Open PL LLM Leaderboard base table the report states <strong data-start=\"1213\" data-end=\"1239\">Bielik-4.5B-v3 = 45.47<\/strong> and <strong data-start=\"1245\" data-end=\"1271\">Bielik-1.5B-v3 = 31.48<\/strong>. In the table for manual models: <strong data-start=\"1309\" data-end=\"1346\">Bielik-1.5B-v3.0-Instruct = 41.36<\/strong>. This is important because it shows that &quot;smaller Bieliks&quot; are being designed as a sensible option where launch costs are a factor.<\/p>\n<\/li>\n<li data-start=\"1510\" data-end=\"1919\">\n<p data-start=\"1512\" data-end=\"1919\"><strong data-start=\"1512\" data-end=\"1561\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>Stability after quantization (local implementations)<\/strong>: in the Bielik v2 report it can be seen that quantized versions can keep the result very close to full precision \u2013 e.g. <strong data-start=\"1675\" data-end=\"1716\">Bielik-11B-v2.3-Instruct.Q8_0 = 65.76<\/strong> vs <strong data-start=\"1720\" data-end=\"1743\">base version 65.71<\/strong>, and even Q6\/Q4 still maintain high results. This is practical information for people who want to run the model on &quot;cheaper&quot; hardware.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1921\" data-end=\"2206\">The conclusion at this stage is simple: <strong data-start=\"1956\" data-end=\"2034\">in tests strictly for the Polish language, Bielik can be very competitive<\/strong>, and the biggest advantage of the project is that the results go hand in hand with thinking about implementations (including quantization and running locally).<\/p>\n<p data-start=\"1921\" data-end=\"2206\"><strong>Sources:<\/strong><br \/><a href=\"https:\/\/arxiv.org\/html\/2505.02550v1\" target=\"_blank\" rel=\"noopener\">https:\/\/arxiv.org\/html\/2505.02550v1<\/a><br \/><a href=\"https:\/\/arxiv.org\/html\/2505.02410v2\" target=\"_blank\" rel=\"noopener\">https:\/\/arxiv.org\/html\/2505.02410v2<\/a><br \/><a href=\"https:\/\/huggingface.co\/speakleash\/Bielik-11B-v2\" target=\"_blank\" rel=\"noopener\">https:\/\/huggingface.co\/speakleash\/Bielik-11B-v2<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-de9ee02 elementor-widget elementor-widget-image\" data-id=\"de9ee02\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Zrzut-ekranu-2026-01-19-122333.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"Zrzut ekranu 2026-01-19 122333\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTE1NjMsInVybCI6Imh0dHBzOlwvXC9wcm9zdGVpdC5wbFwvd3AtY29udGVudFwvdXBsb2Fkc1wvMjAyNlwvMDFcL1pyenV0LWVrcmFudS0yMDI2LTAxLTE5LTEyMjMzMy5wbmcifQ%3D%3D\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"334\" height=\"716\" src=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Zrzut-ekranu-2026-01-19-122333.png\" class=\"attachment-full size-full wp-image-11563\" alt=\"\" srcset=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Zrzut-ekranu-2026-01-19-122333.png 334w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Zrzut-ekranu-2026-01-19-122333-140x300.png 140w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Zrzut-ekranu-2026-01-19-122333-6x12.png 6w\" sizes=\"(max-width: 334px) 100vw, 334px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d8f97e6 elementor-widget elementor-widget-image\" data-id=\"d8f97e6\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Zrzut-ekranu-2026-01-19-122355.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"Zrzut ekranu 2026-01-19 122355\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MTE1NjQsInVybCI6Imh0dHBzOlwvXC9wcm9zdGVpdC5wbFwvd3AtY29udGVudFwvdXBsb2Fkc1wvMjAyNlwvMDFcL1pyenV0LWVrcmFudS0yMDI2LTAxLTE5LTEyMjM1NS5wbmcifQ%3D%3D\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"664\" height=\"156\" src=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Zrzut-ekranu-2026-01-19-122355.png\" class=\"attachment-full size-full wp-image-11564\" alt=\"\" srcset=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Zrzut-ekranu-2026-01-19-122355.png 664w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Zrzut-ekranu-2026-01-19-122355-300x70.png 300w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Zrzut-ekranu-2026-01-19-122355-18x4.png 18w\" sizes=\"(max-width: 664px) 100vw, 664px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-95ea337 elementor-widget elementor-widget-text-editor\" data-id=\"95ea337\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"dzialania-producentow-ram\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 data-start=\"0\" data-end=\"112\"><span style=\"color: #f94d1c; font-size: 24px;\">Bielik vs ChatGPT\/Claude\/Gemini in 2026 \u2013 differences, fair comparison limits<\/span><\/h2>\n<p data-start=\"114\" data-end=\"603\">Comparing Bielik to ChatGPT, Claude, and Gemini can be misleading if we treat them as &quot;the same, just different logo.&quot; They are, in practice, different product classes: Bielik is <strong data-start=\"277\" data-end=\"300\">open-weight model<\/strong>, which you can run locally or on your own infrastructure, and ChatGPT\/Claude\/Gemini is primarily <strong data-start=\"411\" data-end=\"432\">commercial services<\/strong> with the entire ecosystem (applications, tools, integrations, security, support). This doesn&#039;t mean that comparisons don&#039;t make sense\u2014they do, but you have to compare the right things.<\/p>\n<h3 data-start=\"605\" data-end=\"646\"><span style=\"color: #f94d1c; font-size: 20px;\">What we know for sure<\/span><\/h3>\n<p data-start=\"648\" data-end=\"673\"><strong data-start=\"648\" data-end=\"673\">1) Scale and availability<\/strong><\/p>\n<ul data-start=\"674\" data-end=\"1035\">\n<li data-start=\"674\" data-end=\"898\">\n<p data-start=\"676\" data-end=\"898\"><strong data-start=\"676\" data-end=\"690\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>Bald Eagle 11B<\/strong> is a model from the SpeakLeash family, published on Hugging Face in variants to run locally (e.g. GGUF to Ollam), under the Apache 2.0 license + additional Terms of Use.<\/p>\n<\/li>\n<li data-start=\"899\" data-end=\"1035\">\n<p data-start=\"901\" data-end=\"1035\"><strong data-start=\"901\" data-end=\"930\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>ChatGPT \/ Claude \/ Gemini<\/strong> these are models available mainly as services (applications + API), where some functions depend on the plan and limits.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1037\" data-end=\"1073\"><strong data-start=\"1037\" data-end=\"1073\">2) Security and guardrails\u201e<\/strong><\/p>\n<ul data-start=\"1074\" data-end=\"1427\">\n<li data-start=\"1074\" data-end=\"1286\">\n<p data-start=\"1076\" data-end=\"1286\">\u2022 Bielik&#039;s model card states that <strong data-start=\"1124\" data-end=\"1156\">there are no moderation mechanisms<\/strong> and may generate incorrect or undesirable content \u2013 which is important in corporate implementations.<\/p>\n<\/li>\n<li data-start=\"1287\" data-end=\"1427\">\n<p data-start=\"1289\" data-end=\"1427\">\u2022 Commercial services usually have a layer of policies, filters and security tools (this does not guarantee perfection, but changes the risk profile).<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1429\" data-end=\"1459\"><strong data-start=\"1429\" data-end=\"1459\">3) Price: &quot;you pay differently&quot;\u201e<\/strong><\/p>\n<ul data-start=\"1460\" data-end=\"2205\">\n<li data-start=\"1460\" data-end=\"1609\">\n<p data-start=\"1462\" data-end=\"1609\"><strong data-start=\"1462\" data-end=\"1472\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>Bald Eagle<\/strong>: the model itself does not have a &quot;token pricing&quot; but you pay for infrastructure (GPU\/server), maintenance, updates, monitoring and security.<\/p>\n<\/li>\n<li data-start=\"1610\" data-end=\"1719\">\n<p data-start=\"1612\" data-end=\"1719\"><strong data-start=\"1612\" data-end=\"1628\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>OpenAI (API)<\/strong> has an official price list per token (depending on the model).<\/p>\n<\/li>\n<li data-start=\"1720\" data-end=\"1839\">\n<p data-start=\"1722\" data-end=\"1839\"><strong data-start=\"1722\" data-end=\"1741\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>Anthropic (API)<\/strong> publishes the official price list per token (depending on the model).<\/p>\n<\/li>\n<li data-start=\"1840\" data-end=\"2000\">\n<p data-start=\"1842\" data-end=\"2000\"><strong data-start=\"1842\" data-end=\"1863\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>Google Gemini API<\/strong> has an official per-token pricing, with different rates for long prompts (&lt;=200k vs &gt;200k tokens).<\/p>\n<\/li>\n<\/ul>\n<p>For the end user: OpenAI officially communicates ChatGPT subscription tiers (Go $8, Plus $20, Pro $200 per month \u2013 local prices may vary).<\/p>\n<p data-start=\"2207\" data-end=\"2252\"><strong data-start=\"2207\" data-end=\"2252\">4) Context and working with large documents<\/strong><\/p>\n<ul data-start=\"2253\" data-end=\"2726\">\n<li data-start=\"2253\" data-end=\"2363\">\n<p data-start=\"2255\" data-end=\"2363\">\u2022 In the OpenAI API: GPT-4o has <strong data-start=\"2279\" data-end=\"2297\">128k of context<\/strong> (according to the model documentation).<\/p>\n<\/li>\n<li data-start=\"2364\" data-end=\"2515\">\n<p data-start=\"2366\" data-end=\"2515\">\u2022 In the Anthropic API: Sonnet 4\/4.5 may have <strong data-start=\"2406\" data-end=\"2430\">1M context tokens<\/strong> (in practice, access depends on the tier and mode).<\/p>\n<\/li>\n<li data-start=\"2516\" data-end=\"2726\">\n<p data-start=\"2518\" data-end=\"2726\">\u2022 In Gemini API: the official price list distinguishes between requests &lt;=200k and &gt;200k tokens, which confirms support for very long inputs, but &quot;how much exactly max&quot; depends on the model and mode<\/p>\n<\/li>\n<\/ul>\n<div>\n<p data-start=\"198\" data-end=\"240\"><strong data-start=\"198\" data-end=\"240\">5) Adoption rate and number of users<\/strong><\/p>\n<p data-start=\"242\" data-end=\"300\">There are differences here <strong data-start=\"256\" data-end=\"299\">fundamental and indisputable<\/strong>.<\/p>\n<p style=\"display: inline !important;\" data-start=\"304\" data-end=\"572\"><strong data-start=\"304\" data-end=\"332\">ChatGPT, Claude and Gemini<\/strong> are mass products. ChatGPT is used by <strong data-start=\"380\" data-end=\"423\">hundreds of millions of users per month<\/strong>, Claude, and Gemini operate globally as services embedded in ecosystems (APIs, applications, office tools, search engines). This scale translates to:<\/p>\n<ul data-start=\"302\" data-end=\"990\">\n<li data-start=\"575\" data-end=\"609\">\n<p data-start=\"577\" data-end=\"609\">\u2022 huge amounts of feedback data,<\/p>\n<\/li>\n<li data-start=\"612\" data-end=\"638\">\n<p data-start=\"614\" data-end=\"638\">\u2022 fast model iterations,<\/p>\n<\/li>\n<li data-start=\"641\" data-end=\"711\">\n<p data-start=\"643\" data-end=\"711\">\u2022 testing behavior in real, very diverse scenarios<\/p>\n<\/li>\n<\/ul>\n<p style=\"display: inline !important;\" data-start=\"715\" data-end=\"784\"><strong data-start=\"715\" data-end=\"725\">Bald Eagle<\/strong> works on <strong data-start=\"736\" data-end=\"771\">a completely different level of adoption<\/strong>. This is a project:<\/p>\n<ul data-start=\"787\" data-end=\"990\">\n<li data-start=\"787\" data-end=\"815\">\n<p data-start=\"789\" data-end=\"815\">\u2022 niche on a global scale,<\/p>\n<\/li>\n<li data-start=\"818\" data-end=\"919\">\n<p data-start=\"820\" data-end=\"919\">\u2022 used mainly by the technical community, researchers and companies consciously implementing models locally,<\/p>\n<\/li>\n<li data-start=\"922\" data-end=\"990\">\n<p data-start=\"924\" data-end=\"990\">\u2022 no mass consumer product of the &quot;app for everyone&quot; type.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"992\" data-end=\"1111\">This means that <strong data-start=\"1007\" data-end=\"1045\">The white-tailed eagle does not benefit from economies of scale<\/strong>, which drives the development of commercial models. Fewer users mean:<\/p>\n<ul data-start=\"1112\" data-end=\"1260\">\n<li data-start=\"1112\" data-end=\"1165\">\n<p data-start=\"1114\" data-end=\"1165\">\u2022 less error data in unusual scenarios,<\/p>\n<\/li>\n<li data-start=\"1166\" data-end=\"1203\">\n<p data-start=\"1168\" data-end=\"1203\">\u2022 slower edge-case detection,<\/p>\n<\/li>\n<li data-start=\"1204\" data-end=\"1260\">\n<p data-start=\"1206\" data-end=\"1260\">\u2022 less pressure on conversational quality \u201efor everyone.\u201d.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1262\" data-end=\"1480\">On the other hand, this smaller scale makes <strong data-start=\"1311\" data-end=\"1359\">The Bald Eagle is not designed for mass chat<\/strong>, only under <strong data-start=\"1371\" data-end=\"1418\">specific technical and company applications<\/strong>, where the number of users is not a key metric of success.<\/p>\n<p data-start=\"1482\" data-end=\"1683\"><strong data-start=\"1482\" data-end=\"1494\">Application:<\/strong> in terms of popularity and adoption <strong data-start=\"1531\" data-end=\"1572\">commercial models absolutely dominate<\/strong>, and trying to put Bielik on the same axis would be unfair. It&#039;s just <strong data-start=\"1649\" data-end=\"1682\">other leagues and other development goals<\/strong>.<\/p>\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80d2f4c premium-table-dir-ltr elementor-widget elementor-widget-premium-tables-addon\" data-id=\"80d2f4c\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;premium_table_responsive&quot;:&quot;yes&quot;,&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"premium-tables-addon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\r\n\t\t<div class=\"premium-table-wrap premium-table-responsive\">\r\n\t\t\t\r\n\t\t\t<table class=\"premium-table\" data-settings=\"{&quot;sort&quot;:false,&quot;usNumbers&quot;:false,&quot;sortMob&quot;:false,&quot;search&quot;:false,&quot;records&quot;:false,&quot;dataType&quot;:&quot;custom&quot;,&quot;csvFile&quot;:null,&quot;firstRow&quot;:null,&quot;separator&quot;:null,&quot;pagination&quot;:&quot;&quot;,&quot;rows&quot;:0}\" >\r\n\r\n\t\t\t\r\n\t\t<thead class=\"premium-table-head\">\r\n\r\n\t\t\t<tr class=\"premium-table-row\">\r\n\r\n\t\t\t\t<th class=\"premium-table-cell elementor-repeater-item-c9e71dc\"><span class=\"premium-table-text\">Axis of comparison<\/span><\/th><th class=\"premium-table-cell elementor-repeater-item-3f65de2\"><span class=\"premium-table-text\">Bald Eagle (slef-hosted)<\/span><\/th><th class=\"premium-table-cell elementor-repeater-item-4aa3d17\"><span class=\"premium-table-text\">ChatGPT (OpenAI)<\/span><\/th><th class=\"premium-table-cell elementor-repeater-item-f9d514e\"><span class=\"premium-table-text\">Claude (Anthropic)<\/span><\/th><th class=\"premium-table-cell elementor-repeater-item-daf1ee4\"><span class=\"premium-table-text\">Gemini (Google)<\/span><\/th>\r\n\t\t\t<\/tr>\r\n\r\n\t\t<\/thead>\r\n\r\n\t\t\t\t<tbody class=\"premium-table-body\">\r\n\t\t\t\t\t\t<tr class=\"premium-table-row elementor-repeater-item-131cd39\"><td class=\"premium-table-cell elementor-repeater-item-2881fd9\"><span class=\"premium-table-text\">Data and environment control<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-46f0c9f\"><span class=\"premium-table-text\">The most control (for you)<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-c9f2047\"><span class=\"premium-table-text\">Cloud service<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-eec88bf\"><span class=\"premium-table-text\">Cloud service<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-ced96fd\"><span class=\"premium-table-text\">Cloud service<\/span><\/td><\/tr><tr class=\"premium-table-row elementor-repeater-item-57f5736\"><td class=\"premium-table-cell elementor-repeater-item-e4414cf\"><span class=\"premium-table-text\">Unit cost<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-a85d6f8\"><span class=\"premium-table-text\">No token fees, but infrastructure\/maintenance costs<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-68bd9fb\"><span class=\"premium-table-text\">API token fees + in-app plans<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-47fe17b\"><span class=\"premium-table-text\">API token fees<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-750466a\"><span class=\"premium-table-text\">API token fees<\/span><\/td><\/tr><tr class=\"premium-table-row elementor-repeater-item-d703ca2\"><td class=\"premium-table-cell elementor-repeater-item-2faec3a\"><span class=\"premium-table-text\">Long context<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-45a0a97\"><span class=\"premium-table-text\">Depends on the implementation and variant (it is more difficult to achieve a uniform standard publicly)<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-57f3c87\"><span class=\"premium-table-text\">128k in GPT-4o<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-5c8562d\"><span class=\"premium-table-text\">up to 1M (Sonnet 4\/4.5, conditional)<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-7363508\"><span class=\"premium-table-text\">different thresholds and rates for &gt;200k<\/span><\/td><\/tr><tr class=\"premium-table-row elementor-repeater-item-e23007a\"><td class=\"premium-table-cell elementor-repeater-item-fb283b3\"><span class=\"premium-table-text\">Security\/Filters<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-a729217\"><span class=\"premium-table-text\">No moderation as default layer<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-8e0421a\"><span class=\"premium-table-text\">Typically built-in service mechanisms<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-e5978f9\"><span class=\"premium-table-text\">Typically built-in service mechanisms<\/span><\/td><td class=\"premium-table-cell elementor-repeater-item-d551977\"><span class=\"premium-table-text\">Typically built-in service mechanisms<\/span><\/td>\t\t\t<\/tr>\r\n\t\t<\/tbody>\r\n\r\n\t\t\r\n\t\t\t<\/table>\r\n\t\t<\/div>\r\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a4d1533 elementor-widget elementor-widget-text-editor\" data-id=\"a4d1533\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h3 data-start=\"4165\" data-end=\"4222\"><span style=\"color: #f94d1c; font-size: 20px;\">What cannot be honestly determined<\/span><\/h3>\n<ol data-start=\"4224\" data-end=\"5307\">\n<li data-start=\"4224\" data-end=\"4475\">\n<p data-start=\"4227\" data-end=\"4475\"><strong data-start=\"4227\" data-end=\"4257\">\u201eWho is better overall?\u201d<\/strong><br data-start=\"4257\" data-end=\"4260\" \/>Without a single, common and fresh benchmark performed under the same conditions (the same prompts, the same assessment principles, the same scope of tasks, the same model version), such a slogan is more of a marketing than a scientific one.<\/p>\n<\/li>\n<li data-start=\"4477\" data-end=\"4797\">\n<p data-start=\"4480\" data-end=\"4797\"><strong data-start=\"4480\" data-end=\"4548\">\u201e&quot;Bald Eagle vs. <a href=\"https:\/\/prosteit.pl\/en\/is-it-safe-to-use-ai\/\">ChatGPT<\/a>\/Claude\/Gemini in Polish corporate tasks&quot;\u201d<\/strong><br data-start=\"4548\" data-end=\"4551\" \/>It is possible to compare fragmentarily (e.g. PL summaries, emails, classifications), but the results may depend on: prompts, context length, temperature, tools (e.g. web search), and even on whether the model has a system layer and filters.<\/p>\n<\/li>\n<li data-start=\"4799\" data-end=\"5070\">\n<p data-start=\"4802\" data-end=\"5070\"><strong data-start=\"4802\" data-end=\"4835\">\u201eDirect &quot;price&quot; (cheaper\/more expensive)<\/strong><br data-start=\"4835\" data-end=\"4838\" \/>With Bielik, the cost depends on the infrastructure and load, while with API it depends on the tokens and the model. The same project can be cheaper on a self-hosted platform (high volumes, stable load) or cheaper with an API (low usage, quick startup).<\/p>\n<\/li>\n<li data-start=\"5072\" data-end=\"5307\">\n<p data-start=\"5075\" data-end=\"5307\"><strong data-start=\"5075\" data-end=\"5099\">\u201e&quot;Quality stability&quot;\u201d<\/strong><br data-start=\"5099\" data-end=\"5102\" \/>Large services frequently update models and system layers\u2014this can be an advantage (progress), but it makes &quot;once-and-for-all&quot; comparisons difficult. Bielik provides a more predictable version environment, as long as you control it.<\/p>\n<\/li>\n<\/ol>\n<p>If your point of reference is <strong style=\"color: #151718;\" data-start=\"5382\" data-end=\"5421\">\u201e&quot;the best assistant for everything&quot;\u201d<\/strong> (general knowledge, multimodality, tools, integrations, iteration speed) \u2013 ChatGPT\/Claude\/Gemini usually have the advantage as <strong style=\"color: #151718;\" data-start=\"5546\" data-end=\"5565\">products-services<\/strong>.<br \/>If your point of reference is <strong style=\"color: #151718;\" data-start=\"5648\" data-end=\"5749\">\u201e&quot;a model under control, possible to install at home, adapted to Polish and company data&quot;\u201d<\/strong> \u2013 The white-tailed eagle makes sense as <strong style=\"color: #151718;\" data-start=\"5772\" data-end=\"5785\">component<\/strong> (engine), not &quot;another app like ChatGPT&quot;.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-88ec6af elementor-widget elementor-widget-text-editor\" data-id=\"88ec6af\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"wzrost-pamieci-ram-sektory\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 data-start=\"256\" data-end=\"332\"><span style=\"color: #f94d1c; font-size: 24px;\">Poland in the world of multilingual AI tests \u2013 is the Polish language \u201ewinning\u201d?<\/span><\/h2>\n<p data-start=\"334\" data-end=\"664\">In 2025, they appeared <strong data-start=\"359\" data-end=\"408\">scientific and independent multilingual benchmarks<\/strong>, which surprised the community: <strong data-start=\"439\" data-end=\"540\">Polish performs as well or even better than English and Chinese in certain AI tasks<\/strong> \u2013 even though the latter dominates as training data in most commercial models.<\/p>\n<p data-start=\"666\" data-end=\"760\">Key findings from analyses comparing the performance of large language models across 26 languages include:<\/p>\n<ul data-start=\"762\" data-end=\"1366\">\n<li data-start=\"762\" data-end=\"1027\">\n<p data-start=\"764\" data-end=\"1027\">\u2022 In tests <strong data-start=\"774\" data-end=\"814\">tasks with a very long context<\/strong> (e.g. sequences of 64 k\u2013128 k tokens), Polish achieved an average accuracy of approx. <strong data-start=\"903\" data-end=\"910\"><a href=\"https:\/\/serwisy.gazetaprawna.pl\/nowe-technologie\/artykuly\/10572547,ai-rozumie-polakow-najlepiej-polski-jezyk-dla-sztucznej-inteligencji.html\" target=\"_blank\" rel=\"noopener\">88%<\/a><\/strong>, which puts him <strong data-start=\"925\" data-end=\"986\">in first place compared to English and Chinese<\/strong>.<\/p>\n<\/li>\n<li data-start=\"1028\" data-end=\"1180\">\n<p data-start=\"1030\" data-end=\"1180\">\u2022 In the same study <strong data-start=\"1050\" data-end=\"1111\">English was ranked only 6th (approx. 83.9%)<\/strong>, and Chinese \u2013 much lower.<\/p>\n<\/li>\n<li data-start=\"1181\" data-end=\"1366\">\n<p data-start=\"1183\" data-end=\"1366\">\u2022 According to these analyses, the Polish language was ranked in the top 10 languages <strong data-start=\"1249\" data-end=\"1264\">at the top<\/strong>, followed by languages such as French, Italian or Spanish.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1368\" data-end=\"1693\">The authors of this study suggest that <strong data-start=\"1400\" data-end=\"1490\">the grammatical structure of the Polish language, its morphology and relatively regular rules of inflection<\/strong> can generate strong training signals that help AI models cope with tasks requiring understanding long contexts and precise text analysis.<\/p>\n<h3 data-start=\"1695\" data-end=\"1727\"><span style=\"color: #f94d1c; font-size: 20px;\">An important note on interpretation<\/span><\/h3>\n<p data-start=\"1729\" data-end=\"1935\">These studies do not claim that <strong data-start=\"1757\" data-end=\"1820\">Polish is objectively &quot;\u201e<a href=\"https:\/\/scienceinpoland.pl\/en\/news\/news,110407,polish-language-not-superior-ai-prompting-researchers-say.html\" target=\"_blank\" rel=\"noopener\">best<\/a>\u201d&quot;a language for all AI<\/strong> nor that a model trained only in Polish can achieve an advantage over global models. They show that:<\/p>\n<ul data-start=\"1937\" data-end=\"2359\">\n<li data-start=\"1937\" data-end=\"2029\">\n<p data-start=\"1939\" data-end=\"2029\">\u2022 In <strong data-start=\"1941\" data-end=\"1985\">specific multilingual benchmarks<\/strong>, Polish is very good or the best;<\/p>\n<\/li>\n<li data-start=\"2030\" data-end=\"2134\">\n<p data-start=\"2032\" data-end=\"2134\"><strong data-start=\"2032\" data-end=\"2133\"><span style=\"font-weight: normal;\">\u2022\u00a0<\/span>differences in results between languages are sometimes small and depend on the task and model configuration<\/strong>;<\/p>\n<\/li>\n<li data-start=\"2135\" data-end=\"2359\">\n<p data-start=\"2137\" data-end=\"2359\">\u2022 not all research groups agree that the differences are statistically significant - some scientists emphasize that in tests, Polish does not necessarily &quot;beat&quot; English in all metrics.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"2361\" data-end=\"2407\"><span style=\"color: #f94d1c; font-size: 20px;\">What does this mean for Bielik and other models?<\/span><\/h3>\n<p data-start=\"2409\" data-end=\"2746\">For Polish and multilingual models such as Bielik, these results are <strong data-start=\"2480\" data-end=\"2501\">good news<\/strong>: indicate that <strong data-start=\"2516\" data-end=\"2612\">Polish has advantages that can be used in designing better AI and benchmarks<\/strong>. This confirms the direction of language specialization and the value of building models capable of deep understanding of languages beyond English.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-04c9f84 elementor-widget elementor-widget-image\" data-id=\"04c9f84\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/notesfrompoland.com\/2025\/10\/26\/polish-top-performing-language-for-complex-ai-language-tasks-finds-study\/\" target=\"_blank\" rel=\"noopener\">\n\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1252\" height=\"629\" src=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Screenshot-2025-10-26-220809.png\" class=\"attachment-full size-full wp-image-11565\" alt=\"\" srcset=\"https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Screenshot-2025-10-26-220809.png 1252w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Screenshot-2025-10-26-220809-300x151.png 300w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Screenshot-2025-10-26-220809-1024x514.png 1024w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Screenshot-2025-10-26-220809-768x386.png 768w, https:\/\/prosteit.pl\/wp-content\/uploads\/2026\/01\/Screenshot-2025-10-26-220809-18x9.png 18w\" sizes=\"(max-width: 1252px) 100vw, 1252px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Source: https:\/\/notesfrompoland.com\/2025\/10\/26\/polish-top-performing-language-for-complex-ai-language-tasks-finds-study\/<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cbfa31c elementor-widget elementor-widget-text-editor\" data-id=\"cbfa31c\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 data-start=\"0\" data-end=\"43\"><span style=\"color: #f94d1c; font-size: 24px;\">When Bielik makes the most sense in a company<\/span><\/h2>\n<p data-start=\"45\" data-end=\"370\">Bielik is not a &quot;universal assistant for everything&quot; and that is why in certain scenarios <strong data-start=\"148\" data-end=\"206\">has a very specific advantage over commercial models<\/strong>. Works best where it counts. <strong data-start=\"252\" data-end=\"317\">Polish language, data control and predictability of operation<\/strong>, not a set of add-ons known from ready-made chatbots.<\/p>\n<h3 data-start=\"372\" data-end=\"425\"><span style=\"color: #f94d1c; font-size: 20px;\">Working with company documents in Polish (RAG)<\/span><\/h3>\n<p data-start=\"427\" data-end=\"457\">If a company wants to use AI to:<\/p>\n<ul data-start=\"458\" data-end=\"609\">\n<li data-start=\"458\" data-end=\"496\">\n<p data-start=\"460\" data-end=\"496\">\u2022 analysis of contracts, regulations, procedures,<\/p>\n<\/li>\n<li data-start=\"497\" data-end=\"538\">\n<p data-start=\"499\" data-end=\"538\">\u2022 searching for information in documentation,<\/p>\n<\/li>\n<li data-start=\"539\" data-end=\"609\">\n<p data-start=\"541\" data-end=\"609\">\u2022 answering employee questions based on internal knowledge,<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"611\" data-end=\"925\">this <strong data-start=\"614\" data-end=\"662\">Bielik fits well into the RAG architecture<\/strong> (Retrieval-Augmented Generation). Results from Polish benchmarks show that the model can understand complex content in Polish, which in practice means fewer misinterpretations and less &quot;English-language thinking&quot; transferred to the Polish reality.<\/p>\n<h3 data-start=\"927\" data-end=\"973\"><span style=\"color: #f94d1c; font-size: 20px;\">When data cannot leave the organization<\/span><\/h3>\n<p data-start=\"975\" data-end=\"1046\">In many companies (law, finance, administration, production) the following are key:<\/p>\n<ul data-start=\"1047\" data-end=\"1111\">\n<li data-start=\"1047\" data-end=\"1054\">\n<p data-start=\"1049\" data-end=\"1054\">\u2022 GDPR,<\/p>\n<\/li>\n<li data-start=\"1055\" data-end=\"1076\">\n<p data-start=\"1057\" data-end=\"1076\">\u2022 trade secret,<\/p>\n<\/li>\n<li data-start=\"1077\" data-end=\"1111\">\n<p data-start=\"1079\" data-end=\"1111\">\u2022 audit or regulatory requirements.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1113\" data-end=\"1329\"><strong data-start=\"1113\" data-end=\"1162\">Bielik can be run locally (self-hosted)<\/strong> \u2013 without sending data to external APIs. For such organizations, this is often a decisive factor, even if commercial models offer higher &quot;overall&quot; call quality.<\/p>\n<h3 data-start=\"1331\" data-end=\"1379\"><span style=\"color: #f94d1c; font-size: 20px;\">Where cost and scalability matter<\/span><\/h3>\n<p data-start=\"1381\" data-end=\"1494\">Using large-scale commercial models on a company scale can be costly and financially difficult to predict. Bielik:<\/p>\n<ul data-start=\"1495\" data-end=\"1613\">\n<li data-start=\"1495\" data-end=\"1522\">\n<p data-start=\"1497\" data-end=\"1522\">\u2022 there is no cost per token,<\/p>\n<\/li>\n<li data-start=\"1523\" data-end=\"1560\">\n<p data-start=\"1525\" data-end=\"1560\">\u2022 allows you to control the infrastructure,<\/p>\n<\/li>\n<li data-start=\"1561\" data-end=\"1613\">\n<p data-start=\"1563\" data-end=\"1613\">\u2022 tolerates quantization well without significant loss of quality.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1615\" data-end=\"1761\">This makes <strong data-start=\"1630\" data-end=\"1729\">is a sensible option for larger numbers of users or intensive document processing<\/strong>, where API costs are rising rapidly.<\/p>\n<h3 data-start=\"1763\" data-end=\"1809\"><span style=\"color: #f94d1c; font-size: 20px;\">Projects requiring model adaptation<\/span><\/h3>\n<p data-start=\"1811\" data-end=\"1842\">The white-tailed eagle works well where:<\/p>\n<ul data-start=\"1843\" data-end=\"1976\">\n<li data-start=\"1843\" data-end=\"1886\">\n<p data-start=\"1845\" data-end=\"1886\">\u2022 a specific response style is needed,<\/p>\n<\/li>\n<li data-start=\"1887\" data-end=\"1922\">\n<p data-start=\"1889\" data-end=\"1922\">\u2022 consistency of terminology is important,<\/p>\n<\/li>\n<li data-start=\"1923\" data-end=\"1976\">\n<p data-start=\"1925\" data-end=\"1976\">\u2022 the model must operate according to clearly defined rules.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1978\" data-end=\"2173\">The ability to tune (fine-tuning, system instructions, prompt control) gives companies <strong data-start=\"2067\" data-end=\"2112\">greater predictability of model behavior<\/strong> than in the case of &quot;black boxes&quot; offered as a service.<\/p>\n<hr data-start=\"2175\" data-end=\"2178\" \/>\n<p data-start=\"2180\" data-end=\"2562\" data-is-last-node=\"\" data-is-only-node=\"\"><strong data-start=\"2180\" data-end=\"2194\">In short:<\/strong> Bielik makes the most sense not where you&#039;re looking for &quot;the best chat for everything&quot;, but where AI is supposed to be <strong data-start=\"2307\" data-end=\"2330\">working tool<\/strong> \u2013 working in Polish, using company data, under the full control of the organization. In the next chapter, it&#039;s worth taking an honest look at the other side of the coin: <strong data-start=\"2487\" data-end=\"2561\">limitations, risks and what still requires caution in 2026<\/strong>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8f33f6b elementor-widget elementor-widget-elementskit-accordion\" data-id=\"8f33f6b\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"elementskit-accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ekit-wid-con\" >\n        <div class=\"elementskit-accordion accoedion-primary side-curve\" id=\"accordion-69f36543572eb\">\n\n            \n                <div class=\"elementskit-card active\">\n                    <div class=\"elementskit-card-header\" id=\"primaryHeading-0-8f33f6b\">\n                        <a href=\"#collapse-0c8ca2069f36543572eb\" class=\"ekit-accordion--toggler elementskit-btn-link collapsed\" data-ekit-toggle=\"collapse\" data-target=\"#Collapse-0c8ca2069f36543572eb\" aria-expanded=\"true\" aria-controls=\"Collapse-0c8ca2069f36543572eb\">\n                            \n                            <span class=\"ekit-accordion-title\">Is Bielik AI free and can it be used commercially?<\/span>\n\n                            \n                                <div class=\"ekit_accordion_icon_group\">\n                                    <div class=\"ekit_accordion_normal_icon\">\n                                        <!-- Normal Icon -->\n\t\t\t\t\t\t\t\t\t\t<i class=\"icon icon-down-arrow1\"><\/i>                                    <\/div>\n\n                                    <div class=\"ekit_accordion_active_icon\">\n                                        <!-- Active Icon -->\n\t\t\t\t\t\t\t\t\t\t<i class=\"icon icon-up-arrow\"><\/i>                                    <\/div>\n                                <\/div>\n\n                            \n                                                    <\/a>\n                    <\/div>\n\n                    <div id=\"Collapse-0c8ca2069f36543572eb\" class=\"show collapse\" aria-labelledby=\"primaryHeading-0-8f33f6b\" data-parent=\"#accordion-69f36543572eb\">\n\n                        <div class=\"elementskit-card-body ekit-accordion--content\">\n                            <p>Yes. Bielik is an open-source model released under licenses that allow <strong>commercial use<\/strong>, also in companies. However, it is crucial to check the license <strong>specific model version<\/strong> (e.g. v2, v3, Instruct) as details may vary.<\/p>                        <\/div>\n\n                    <\/div>\n\n                <\/div><!-- .elementskit-card END -->\n\n                \n                <div class=\"elementskit-card\">\n                    <div class=\"elementskit-card-header\" id=\"primaryHeading-1-8f33f6b\">\n                        <a href=\"#collapse-9cdc47c69f36543572eb\" class=\"ekit-accordion--toggler elementskit-btn-link collapsed\" data-ekit-toggle=\"collapse\" data-target=\"#Collapse-9cdc47c69f36543572eb\" aria-expanded=\"false\" aria-controls=\"Collapse-9cdc47c69f36543572eb\">\n                            \n                            <span class=\"ekit-accordion-title\">Can Bielik be run locally without sending data to the cloud?<\/span>\n\n                            \n                                <div class=\"ekit_accordion_icon_group\">\n                                    <div class=\"ekit_accordion_normal_icon\">\n                                        <!-- Normal Icon -->\n\t\t\t\t\t\t\t\t\t\t<i class=\"icon icon-down-arrow1\"><\/i>                                    <\/div>\n\n                                    <div class=\"ekit_accordion_active_icon\">\n                                        <!-- Active Icon -->\n\t\t\t\t\t\t\t\t\t\t<i class=\"icon icon-up-arrow\"><\/i>                                    <\/div>\n                                <\/div>\n\n                            \n                                                    <\/a>\n                    <\/div>\n\n                    <div id=\"Collapse-9cdc47c69f36543572eb\" class=\"collapse\" aria-labelledby=\"primaryHeading-1-8f33f6b\" data-parent=\"#accordion-69f36543572eb\">\n\n                        <div class=\"elementskit-card-body ekit-accordion--content\">\n                            <p>Yes. That&#039;s one of its greatest advantages. The bald eagle can act <strong>locally (self-hosted)<\/strong> \u2013 on a company server or dedicated infrastructure \u2013 without sending data to external APIs. This makes it easier to meet GDPR and security policy requirements.<\/p>                        <\/div>\n\n                    <\/div>\n\n                <\/div><!-- .elementskit-card END -->\n\n                \n                <div class=\"elementskit-card\">\n                    <div class=\"elementskit-card-header\" id=\"primaryHeading-2-8f33f6b\">\n                        <a href=\"#collapse-6c8790769f36543572eb\" class=\"ekit-accordion--toggler elementskit-btn-link collapsed\" data-ekit-toggle=\"collapse\" data-target=\"#Collapse-6c8790769f36543572eb\" aria-expanded=\"false\" aria-controls=\"Collapse-6c8790769f36543572eb\">\n                            \n                            <span class=\"ekit-accordion-title\">What applications is the White-tailed Eagle best suited for?<\/span>\n\n                            \n                                <div class=\"ekit_accordion_icon_group\">\n                                    <div class=\"ekit_accordion_normal_icon\">\n                                        <!-- Normal Icon -->\n\t\t\t\t\t\t\t\t\t\t<i class=\"icon icon-down-arrow1\"><\/i>                                    <\/div>\n\n                                    <div class=\"ekit_accordion_active_icon\">\n                                        <!-- Active Icon -->\n\t\t\t\t\t\t\t\t\t\t<i class=\"icon icon-up-arrow\"><\/i>                                    <\/div>\n                                <\/div>\n\n                            \n                                                    <\/a>\n                    <\/div>\n\n                    <div id=\"Collapse-6c8790769f36543572eb\" class=\"collapse\" aria-labelledby=\"primaryHeading-2-8f33f6b\" data-parent=\"#accordion-69f36543572eb\">\n\n                        <div class=\"elementskit-card-body ekit-accordion--content\">\n                            <p>Works best in:<\/p>\n<ul>\n<li>\n<p><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">\u2022\u00a0 <\/span>work on Polish documents (RAG),<\/p>\n<\/li>\n<li>\n<p><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">\u2022\u00a0 <\/span>analysis of legal texts, regulations, procedures,<\/p>\n<\/li>\n<li>\n<p><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">\u2022\u00a0 <\/span>internal company assistants,<\/p>\n<\/li>\n<li>\n<p><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">\u2022\u00a0 <\/span>projects requiring full control over data and costs.<\/p>\n<\/li>\n<\/ul>                        <\/div>\n\n                    <\/div>\n\n                <\/div><!-- .elementskit-card END -->\n\n                \n                <div class=\"elementskit-card\">\n                    <div class=\"elementskit-card-header\" id=\"primaryHeading-3-8f33f6b\">\n                        <a href=\"#collapse-cc1dd7a69f36543572eb\" class=\"ekit-accordion--toggler elementskit-btn-link collapsed\" data-ekit-toggle=\"collapse\" data-target=\"#Collapse-cc1dd7a69f36543572eb\" aria-expanded=\"false\" aria-controls=\"Collapse-cc1dd7a69f36543572eb\">\n                            \n                            <span class=\"ekit-accordion-title\">What are the main limitations of the Bald Eagle?<\/span>\n\n                            \n                                <div class=\"ekit_accordion_icon_group\">\n                                    <div class=\"ekit_accordion_normal_icon\">\n                                        <!-- Normal Icon -->\n\t\t\t\t\t\t\t\t\t\t<i class=\"icon icon-down-arrow1\"><\/i>                                    <\/div>\n\n                                    <div class=\"ekit_accordion_active_icon\">\n                                        <!-- Active Icon -->\n\t\t\t\t\t\t\t\t\t\t<i class=\"icon icon-up-arrow\"><\/i>                                    <\/div>\n                                <\/div>\n\n                            \n                                                    <\/a>\n                    <\/div>\n\n                    <div id=\"Collapse-cc1dd7a69f36543572eb\" class=\"collapse\" aria-labelledby=\"primaryHeading-3-8f33f6b\" data-parent=\"#accordion-69f36543572eb\">\n\n                        <div class=\"elementskit-card-body ekit-accordion--content\">\n                            <p>Bielik \u2013 like any LLM \u2013 can:<\/p>\n<ul>\n<li>\n<p><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">\u2022\u00a0 <\/span>make factual errors (hallucinations),<\/p>\n<\/li>\n<li>\n<p><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">\u2022\u00a0 <\/span>cannot cope with very specialized knowledge without additional data,<\/p>\n<\/li>\n<li>\n<p><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">\u2022\u00a0 <\/span>require an appropriate &quot;environment&quot; (RAG, validation) to operate safely in the company.<br \/>This is not a \u201eplug and play\u201d model in the sense of a ready-made chatbot with tools.<\/p>\n<\/li>\n<\/ul>                        <\/div>\n\n                    <\/div>\n\n                <\/div><!-- .elementskit-card END -->\n\n                \n                <div class=\"elementskit-card\">\n                    <div class=\"elementskit-card-header\" id=\"primaryHeading-4-8f33f6b\">\n                        <a href=\"#collapse-27531e769f36543572eb\" class=\"ekit-accordion--toggler elementskit-btn-link collapsed\" data-ekit-toggle=\"collapse\" data-target=\"#Collapse-27531e769f36543572eb\" aria-expanded=\"false\" aria-controls=\"Collapse-27531e769f36543572eb\">\n                            \n                            <span class=\"ekit-accordion-title\">Is Bielik suitable for legal or critical applications?<\/span>\n\n                            \n                                <div class=\"ekit_accordion_icon_group\">\n                                    <div class=\"ekit_accordion_normal_icon\">\n                                        <!-- Normal Icon -->\n\t\t\t\t\t\t\t\t\t\t<i class=\"icon icon-down-arrow1\"><\/i>                                    <\/div>\n\n                                    <div class=\"ekit_accordion_active_icon\">\n                                        <!-- Active Icon -->\n\t\t\t\t\t\t\t\t\t\t<i class=\"icon icon-up-arrow\"><\/i>                                    <\/div>\n                                <\/div>\n\n                            \n                                                    <\/a>\n                    <\/div>\n\n                    <div id=\"Collapse-27531e769f36543572eb\" class=\"collapse\" aria-labelledby=\"primaryHeading-4-8f33f6b\" data-parent=\"#accordion-69f36543572eb\">\n\n                        <div class=\"elementskit-card-body ekit-accordion--content\">\n                            <p>May be <strong>support<\/strong>, but it should not act as the sole source of decisions. Research shows that <strong>No AI model \u2013 including commercial ones \u2013 can handle high-risk tasks flawlessly<\/strong>. In such applications, Bielik should work in conjunction with source documents and human supervision.<\/p>                        <\/div>\n\n                    <\/div>\n\n                <\/div><!-- .elementskit-card END -->\n\n                                                        <script type=\"application\/ld+json\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"FAQPage\",\n    \"mainEntity\": [\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Czy Bielik AI jest darmowy i czy mo\\u017cna go u\\u017cywa\\u0107 komercyjnie?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Tak. Bielik jest modelem open-source udost\\u0119pnianym na licencjach pozwalaj\\u0105cych na <strong>u\\u017cycie komercyjne<\\\/strong>, r\\u00f3wnie\\u017c w firmach. Kluczowe jest jednak sprawdzenie licencji <strong>konkretnej wersji modelu<\\\/strong> (np. v2, v3, Instruct), poniewa\\u017c szczeg\\u00f3\\u0142y mog\\u0105 si\\u0119 r\\u00f3\\u017cni\\u0107.<\\\/p>\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Czy Bielika mo\\u017cna uruchomi\\u0107 lokalnie, bez wysy\\u0142ania danych do chmury?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Tak. To jedna z jego najwi\\u0119kszych zalet. Bielik mo\\u017ce dzia\\u0142a\\u0107 <strong>lokalnie (self-hosted)<\\\/strong> \\u2013 na serwerze firmowym lub dedykowanej infrastrukturze \\u2013 bez wysy\\u0142ania danych do zewn\\u0119trznych API. Dzi\\u0119ki temu \\u0142atwiej spe\\u0142ni\\u0107 wymagania RODO i polityki bezpiecze\\u0144stwa.<\\\/p>\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Do jakich zastosowa\\u0144 Bielik nadaje si\\u0119 najlepiej?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Najlepiej sprawdza si\\u0119 w:<\\\/p>\\n<ul>\\n<li>\\n<p><span class=\\\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\\\">\\u2022\\u00a0 <\\\/span>pracy na polskich dokumentach (RAG),<\\\/p>\\n<\\\/li>\\n<li>\\n<p><span class=\\\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\\\">\\u2022\\u00a0 <\\\/span>analizie tekst\\u00f3w prawniczych, regulamin\\u00f3w, procedur,<\\\/p>\\n<\\\/li>\\n<li>\\n<p><span class=\\\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\\\">\\u2022\\u00a0 <\\\/span>wewn\\u0119trznych asystentach firmowych,<\\\/p>\\n<\\\/li>\\n<li>\\n<p><span class=\\\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\\\">\\u2022\\u00a0 <\\\/span>projektach wymagaj\\u0105cych pe\\u0142nej kontroli nad danymi i kosztami.<\\\/p>\\n<\\\/li>\\n<\\\/ul>\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Jakie s\\u0105 g\\u0142\\u00f3wne ograniczenia Bielika?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Bielik \\u2013 jak ka\\u017cdy LLM \\u2013 mo\\u017ce:<\\\/p>\\n<ul>\\n<li>\\n<p><span class=\\\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\\\">\\u2022\\u00a0 <\\\/span>pope\\u0142nia\\u0107 b\\u0142\\u0119dy faktograficzne (halucynacje),<\\\/p>\\n<\\\/li>\\n<li>\\n<p><span class=\\\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\\\">\\u2022\\u00a0 <\\\/span>nie radzi\\u0107 sobie z bardzo specjalistyczn\\u0105 wiedz\\u0105 bez dodatkowych danych,<\\\/p>\\n<\\\/li>\\n<li>\\n<p><span class=\\\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\\\">\\u2022\\u00a0 <\\\/span>wymaga\\u0107 odpowiedniego \\u201eotoczenia\\u201d (RAG, walidacja), by dzia\\u0142a\\u0107 bezpiecznie w firmie.<br \\\/>Nie jest to model \\u201eplug and play\\u201d w sensie gotowego chatbota z narz\\u0119dziami.<\\\/p>\\n<\\\/li>\\n<\\\/ul>\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Czy Bielik nadaje si\\u0119 do zastosowa\\u0144 prawnych lub krytycznych?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Mo\\u017ce by\\u0107 <strong>wsparciem<\\\/strong>, ale nie powinien dzia\\u0142a\\u0107 jako jedyne \\u017ar\\u00f3d\\u0142o decyzji. Badania pokazuj\\u0105, \\u017ce <strong>\\u017caden model AI \\u2013 tak\\u017ce komercyjny \\u2013 nie radzi sobie bezb\\u0142\\u0119dnie w zadaniach wysokiego ryzyka<\\\/strong>. W takich zastosowaniach Bielik powinien dzia\\u0142a\\u0107 w po\\u0142\\u0105czeniu z dokumentami \\u017ar\\u00f3d\\u0142owymi i nadzorem cz\\u0142owieka.<\\\/p>\"\n            }\n        }\n    ]\n}<\/script>\n                                <\/div>\n    <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb1f4e0 elementor-widget elementor-widget-text-editor\" data-id=\"cb1f4e0\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;ekit_we_effect_on&quot;:&quot;none&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-start=\"17\" data-end=\"365\">The Bald Eagle in 2026 is no longer an experiment or a curiosity from the &quot;Polish AI&quot; category. <strong data-start=\"108\" data-end=\"135\">mature family of models<\/strong>, which has clearly defined strengths: very good work in Polish, reasonable results in benchmarks, the ability to run locally and real usability in corporate scenarios based on documents and internal knowledge.<\/p>\n<p data-start=\"367\" data-end=\"721\">Comparisons with ChatGPT, Claude or Gemini show one important thing: <strong data-start=\"435\" data-end=\"474\">the biggest model doesn&#039;t always win<\/strong>, and increasingly, the one best suited to a specific language and task. Bielik doesn&#039;t compete in the field of multimodal assistants &quot;for everything,&quot; but where precision, control, and Polish context matter, it can be a very strong choice.<\/p>\n<p data-start=\"723\" data-end=\"1164\" data-is-last-node=\"\" data-is-only-node=\"\">Looking ahead, Bielik&#039;s development direction seems promising. The project consistently improves quality, opens up to standardized evaluations, and responds to real market needs, not just to a competition of parameters. If this trend continues, <strong data-start=\"977\" data-end=\"1163\">Polish language models have a chance not only to catch up with the world leaders in their niches, but also to become a reference point for AI designed &quot;locally, but at a global level&quot;\u201e<\/strong>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>The Polish Bielik AI project is increasingly appearing in conversations about large language models\u2014not just as a curiosity &quot;made in Poland,&quot; but as a viable alternative for specific applications. By 2026, Bielik already has several mature versions, its own benchmarks, and a growing number of implementations, which naturally raises the question: how does it compare to global giants like [\u2026]<\/p>","protected":false},"author":4,"featured_media":11571,"template":"","categories":[],"tags":[],"class_list":["post-11539","aktualnosci","type-aktualnosci","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/prosteit.pl\/en\/wp-json\/wp\/v2\/aktualnosci\/11539","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prosteit.pl\/en\/wp-json\/wp\/v2\/aktualnosci"}],"about":[{"href":"https:\/\/prosteit.pl\/en\/wp-json\/wp\/v2\/types\/aktualnosci"}],"author":[{"embeddable":true,"href":"https:\/\/prosteit.pl\/en\/wp-json\/wp\/v2\/users\/4"}],"version-history":[{"count":5,"href":"https:\/\/prosteit.pl\/en\/wp-json\/wp\/v2\/aktualnosci\/11539\/revisions"}],"predecessor-version":[{"id":11572,"href":"https:\/\/prosteit.pl\/en\/wp-json\/wp\/v2\/aktualnosci\/11539\/revisions\/11572"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prosteit.pl\/en\/wp-json\/wp\/v2\/media\/11571"}],"wp:attachment":[{"href":"https:\/\/prosteit.pl\/en\/wp-json\/wp\/v2\/media?parent=11539"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prosteit.pl\/en\/wp-json\/wp\/v2\/categories?post=11539"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prosteit.pl\/en\/wp-json\/wp\/v2\/tags?post=11539"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}