{"id":4746,"date":"2025-09-24T14:01:10","date_gmt":"2025-09-24T14:01:10","guid":{"rendered":"https:\/\/palmer-consulting.com\/the-8-major-llm-models-dominating-artificial-intelligence\/"},"modified":"2025-09-24T14:01:10","modified_gmt":"2025-09-24T14:01:10","slug":"the-8-major-llm-models-dominating-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/palmer-consulting.com\/en\/the-8-major-llm-models-dominating-artificial-intelligence\/","title":{"rendered":"The 8 major LLM models dominating artificial intelligence"},"content":{"rendered":"<p data-start=\"420\" data-end=\"722\">The rise of<strong data-start=\"433\" data-end=\"473\">generative artificial intelligence<\/strong> is profoundly transforming our society. Behind this revolution are <strong data-start=\"556\" data-end=\"588\">LLMs (Large Language Models)<\/strong>, capable of understanding and generating text, programming and even multimodal content. <\/p>\n<p data-start=\"724\" data-end=\"1003\">By 2025, eight models will dominate the global landscape: <strong data-start=\"776\" data-end=\"792\">GPT (OpenAI)<\/strong>, <strong data-start=\"794\" data-end=\"816\">Claude (Anthropic)<\/strong>, <strong data-start=\"818\" data-end=\"846\">Gemini (Google DeepMind)<\/strong>, <strong data-start=\"848\" data-end=\"864\">LLaMA (Meta)<\/strong>, <a href=\"https:\/\/palmer-consulting.com\/en\/ia-mistral\/\"><strong data-start=\"866\" data-end=\"890\">Mistral (Mistral AI)<\/strong><\/a><strong data-start=\"892\" data-end=\"912\">DeepSeek (China)<\/strong>, <strong data-start=\"914\" data-end=\"928\">Perplexity<\/strong> and <strong data-start=\"932\" data-end=\"946\">Grok (xAI)<\/strong>. Each brings a unique vision of the future of AI. <\/p>\n<p data-start=\"724\" data-end=\"1003\"><a href=\"https:\/\/palmer-consulting.com\/contact-palmer-ia\/\" class=\"btn-big\" target=\"_blank\" rel=\"noopener noreferrer\"><span>Questions about AI? Contact us now!<\/span><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" fill=\"none\" width=\"15\" height=\"15\" viewBox=\"0 0 22 22\"><path fill=\"#192B39\" fill-rule=\"evenodd\" d=\"m16.346 5.458.001 10.45a.44.44 0 0 1-.44.44l-10.45-.001v-.88h9.388l-9.57-9.57.622-.622 9.57 9.57V5.458h.88Z\" clip-rule=\"evenodd\"\/><\/svg><\/a><\/p>\n<p data-start=\"724\" data-end=\"1003\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2494 aligncenter\" src=\"https:\/\/palmer-consulting.com\/wp-content\/uploads\/2025\/09\/LLM_positionnement_users_round_dark-1024x814.png\" alt=\"\" width=\"820\" height=\"652\" srcset=\"https:\/\/palmer-consulting.com\/wp-content\/uploads\/2025\/09\/LLM_positionnement_users_round_dark-1024x814.png 1024w, https:\/\/palmer-consulting.com\/wp-content\/uploads\/2025\/09\/LLM_positionnement_users_round_dark-300x238.png 300w, https:\/\/palmer-consulting.com\/wp-content\/uploads\/2025\/09\/LLM_positionnement_users_round_dark-768x610.png 768w, https:\/\/palmer-consulting.com\/wp-content\/uploads\/2025\/09\/LLM_positionnement_users_round_dark-1536x1221.png 1536w, https:\/\/palmer-consulting.com\/wp-content\/uploads\/2025\/09\/LLM_positionnement_users_round_dark-2048x1627.png 2048w\" sizes=\"auto, (max-width: 820px) 100vw, 820px\" \/><\/p>\n<hr data-start=\"1005\" data-end=\"1008\">\n<h2 data-start=\"1010\" data-end=\"1060\">1. GPT (OpenAI): the pioneer and world leader<\/h2>\n<h3 data-start=\"1062\" data-end=\"1080\">Presentation<\/h3>\n<p data-start=\"1081\" data-end=\"1238\">Developed by <strong data-start=\"1095\" data-end=\"1105\">OpenAI<\/strong>, GPT is the model that popularized generative AI. From GPT-3 (2020) to <strong data-start=\"1187\" data-end=\"1204\">GPT-5 in 2025<\/strong>, it remains the benchmark for LLM. <\/p>\n<h3 data-start=\"1240\" data-end=\"1252\">Forces<\/h3>\n<ul data-start=\"1253\" data-end=\"1377\">\n<li data-start=\"1253\" data-end=\"1281\">\n<p data-start=\"1255\" data-end=\"1281\">Fluid, natural text.<\/p>\n<\/li>\n<li data-start=\"1282\" data-end=\"1324\">\n<p data-start=\"1284\" data-end=\"1324\">Versatility (writing, coding, analysis).<\/p>\n<\/li>\n<li data-start=\"1325\" data-end=\"1377\">\n<p data-start=\"1327\" data-end=\"1377\">Robust ecosystem (ChatGPT, Microsoft Copilot).<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"1379\" data-end=\"1397\">Applications<\/h3>\n<ul data-start=\"1398\" data-end=\"1504\">\n<li data-start=\"1398\" data-end=\"1428\">\n<p data-start=\"1400\" data-end=\"1428\">Conversational chatbots.<\/p>\n<\/li>\n<li data-start=\"1429\" data-end=\"1461\">\n<p data-start=\"1431\" data-end=\"1461\">Document automation.<\/p>\n<\/li>\n<li data-start=\"1462\" data-end=\"1504\">\n<p data-start=\"1464\" data-end=\"1504\">Code generation via GitHub Copilot.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1506\" data-end=\"1509\">\n<h2 data-start=\"1511\" data-end=\"1569\">2. Claude (Anthropic): safety and the long view<\/h2>\n<h3 data-start=\"1571\" data-end=\"1589\">Presentation<\/h3>\n<p data-start=\"1590\" data-end=\"1710\">Launched by <strong data-start=\"1600\" data-end=\"1613\">Anthropic<\/strong>, <strong data-start=\"1615\" data-end=\"1625\">Claude<\/strong> stands out for its focus on <strong data-start=\"1667\" data-end=\"1679\">safety<\/strong> and<strong data-start=\"1685\" data-end=\"1707\">ethical alignment<\/strong>.<\/p>\n<h3 data-start=\"1712\" data-end=\"1724\">Forces<\/h3>\n<ul data-start=\"1725\" data-end=\"1851\">\n<li data-start=\"1725\" data-end=\"1783\">\n<p data-start=\"1727\" data-end=\"1783\">Analysis of very long contexts (up to 200k tokens).<\/p>\n<\/li>\n<li data-start=\"1784\" data-end=\"1808\">\n<p data-start=\"1786\" data-end=\"1808\">Reliable reasoning.<\/p>\n<\/li>\n<li data-start=\"1809\" data-end=\"1851\">\n<p data-start=\"1811\" data-end=\"1851\">Less risk of biased answers.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"1853\" data-end=\"1871\">Applications<\/h3>\n<ul data-start=\"1872\" data-end=\"1968\">\n<li data-start=\"1872\" data-end=\"1891\">\n<p data-start=\"1874\" data-end=\"1891\">Customer support.<\/p>\n<\/li>\n<li data-start=\"1892\" data-end=\"1928\">\n<p data-start=\"1894\" data-end=\"1928\">Legal and financial analysis.<\/p>\n<\/li>\n<li data-start=\"1929\" data-end=\"1968\">\n<p data-start=\"1931\" data-end=\"1968\">Extensive documentary research.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1970\" data-end=\"1973\">\n<h2 data-start=\"1975\" data-end=\"2031\">3. Gemini (Google DeepMind): native multimodality<\/h2>\n<h3 data-start=\"2033\" data-end=\"2051\">Overview<br \/>\n<strong data-start=\"2052\" data-end=\"2062\">Gemini<\/strong> is Google DeepMind&#8217;s flagship model, the successor to PaLM 2.<\/h3>\n<h3 data-start=\"2128\" data-end=\"2140\">Forces<\/h3>\n<ul data-start=\"2141\" data-end=\"2275\">\n<li data-start=\"2141\" data-end=\"2196\">\n<p data-start=\"2143\" data-end=\"2196\">Integrated multimodality (text, image, audio, code).<\/p>\n<\/li>\n<li data-start=\"2197\" data-end=\"2241\">\n<p data-start=\"2199\" data-end=\"2241\">Google ecosystem (Docs, Gmail, Search).<\/p>\n<\/li>\n<li data-start=\"2242\" data-end=\"2275\">\n<p data-start=\"2244\" data-end=\"2275\">High search power.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"2277\" data-end=\"2295\">Applications<\/h3>\n<ul data-start=\"2296\" data-end=\"2376\">\n<li data-start=\"2296\" data-end=\"2327\">\n<p data-start=\"2298\" data-end=\"2327\">Productivity assistants.<\/p>\n<\/li>\n<li data-start=\"2328\" data-end=\"2354\">\n<p data-start=\"2330\" data-end=\"2354\">Multimodal research.<\/p>\n<\/li>\n<li data-start=\"2355\" data-end=\"2376\">\n<p data-start=\"2357\" data-end=\"2376\">Educational tools.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"2378\" data-end=\"2381\">\n<h2 data-start=\"2383\" data-end=\"2434\">4. LLaMA (Meta): open-source on a grand scale<\/h2>\n<h3 data-start=\"2436\" data-end=\"2454\">Presentation<\/h3>\n<p data-start=\"2455\" data-end=\"2528\">Meta launched <strong data-start=\"2468\" data-end=\"2477\">LLaMA<\/strong> to democratize LLMs via<strong data-start=\"2510\" data-end=\"2525\">open-source<\/strong>.<\/p>\n<h3 data-start=\"2530\" data-end=\"2542\">Forces<\/h3>\n<ul data-start=\"2543\" data-end=\"2645\">\n<li data-start=\"2543\" data-end=\"2569\">\n<p data-start=\"2545\" data-end=\"2569\">Free and accessible.<\/p>\n<\/li>\n<li data-start=\"2570\" data-end=\"2608\">\n<p data-start=\"2572\" data-end=\"2608\">Works on limited hardware.<\/p>\n<\/li>\n<li data-start=\"2609\" data-end=\"2645\">\n<p data-start=\"2611\" data-end=\"2645\">Support from an active community.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"2647\" data-end=\"2665\">Applications<\/h3>\n<ul data-start=\"2666\" data-end=\"2760\">\n<li data-start=\"2666\" data-end=\"2708\">\n<p data-start=\"2668\" data-end=\"2708\">Fine-tuning for specialized sectors.<\/p>\n<\/li>\n<li data-start=\"2709\" data-end=\"2734\">\n<p data-start=\"2711\" data-end=\"2734\">Academic research.<\/p>\n<\/li>\n<li data-start=\"2735\" data-end=\"2760\">\n<p data-start=\"2737\" data-end=\"2760\">On-board deployment.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"2762\" data-end=\"2765\">\n<h2 data-start=\"309\" data-end=\"362\">5. Mistral (Mistral AI): the European alternative<\/h2>\n<h3 data-start=\"364\" data-end=\"382\">Presentation<\/h3>\n<p data-start=\"383\" data-end=\"842\">Founded in 2023 by former researchers from <strong data-start=\"426\" data-end=\"438\">DeepMind<\/strong>, <strong data-start=\"440\" data-end=\"448\">Meta<\/strong> and <strong data-start=\"452\" data-end=\"468\">Hugging Face<\/strong>, <strong data-start=\"470\" data-end=\"484\">Mistral AI<\/strong> is a French start-up that in just a few months has become one of the world leaders in generative artificial intelligence. What sets it apart is the development of <strong data-start=\"655\" data-end=\"678\">open-weight models<\/strong>, with a focus on <strong data-start=\"759\" data-end=\"775\">transparency<\/strong>, <strong data-start=\"780\" data-end=\"805\">technical performance<\/strong> and <strong data-start=\"812\" data-end=\"839\">European sovereignty<\/strong>. <\/p>\n<p data-start=\"844\" data-end=\"1195\">Right from the start, Mistral AI made its mark with <strong data-start=\"897\" data-end=\"911\">Mistral 7B<\/strong>, a compact yet powerful model, followed by <strong data-start=\"957\" data-end=\"973\">Mixtral 8x7B<\/strong>, which introduced the <strong data-start=\"1002\" data-end=\"1030\">Mixture of Experts (MoE)<\/strong> approach to the open-source landscape. In 2024, the company launched <strong data-start=\"1090\" data-end=\"1107\">Mistral Large<\/strong>, capable of competing with the best proprietary models such as GPT-4 and Claude. <\/p>\n<p data-start=\"1197\" data-end=\"1446\">Mistral&#8217;s ambition goes beyond mere technological competition: the start-up wants to offer Europe a <strong data-start=\"1303\" data-end=\"1329\">world-class player<\/strong> in AI, capable of competing with the American (OpenAI, Anthropic, Google) and Chinese (DeepSeek, Baidu) giants.<\/p>\n<hr data-start=\"1448\" data-end=\"1451\">\n<h3 data-start=\"1453\" data-end=\"1465\">Forces<\/h3>\n<ol data-start=\"1467\" data-end=\"3757\">\n<li data-start=\"1467\" data-end=\"2069\">\n<p data-start=\"1470\" data-end=\"1688\"><strong data-start=\"1470\" data-end=\"1518\">High performance despite reduced size<\/strong><br data-start=\"1518\" data-end=\"1521\">Contrary to the prevailing logic of increasingly massive models, Mistral takes a different approach: designing <strong data-start=\"1659\" data-end=\"1685\">optimized, efficient<\/strong> models.<\/p>\n<ul data-start=\"1692\" data-end=\"2069\">\n<li data-start=\"1692\" data-end=\"1879\">\n<p data-start=\"1694\" data-end=\"1879\"><strong data-start=\"1694\" data-end=\"1708\">Mistral 7B<\/strong> quickly demonstrated that a model with 7 billion parameters could rival much larger models in terms of generation quality and reasoning.<\/p>\n<\/li>\n<li data-start=\"1883\" data-end=\"2069\">\n<p data-start=\"1885\" data-end=\"2069\">This optimization reduces energy consumption and facilitates deployment, even on less powerful infrastructures than those required for GPT-4.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li data-start=\"2071\" data-end=\"2696\">\n<p data-start=\"2074\" data-end=\"2238\"><strong data-start=\"2074\" data-end=\"2127\">Innovative architecture: Mixture of Experts (MoE)<\/strong><br data-start=\"2127\" data-end=\"2130\">With <strong data-start=\"2138\" data-end=\"2154\">Mixtral 8x7B<\/strong>, Mistral has popularized the use of <strong data-start=\"2194\" data-end=\"2216\">Mixture of Experts<\/strong> in open-source.<\/p>\n<ul data-start=\"2242\" data-end=\"2696\">\n<li data-start=\"2242\" data-end=\"2374\">\n<p data-start=\"2244\" data-end=\"2374\">Rather than activating all of the model&#8217;s parameters, only a <strong data-start=\"2310\" data-end=\"2338\">specialized subset<\/strong> is mobilized for each query.<\/p>\n<\/li>\n<li data-start=\"2378\" data-end=\"2535\">\n<p data-start=\"2380\" data-end=\"2535\">The result: <strong data-start=\"2391\" data-end=\"2415\">greater efficiency<\/strong> (fewer unnecessary calculations) and greater <strong data-start=\"2447\" data-end=\"2463\">adaptability<\/strong> (each &#8220;expert&#8221; specializes in certain types of task).<\/p>\n<\/li>\n<li data-start=\"2539\" data-end=\"2696\">\n<p data-start=\"2541\" data-end=\"2696\">This approach enables Mixtral to achieve performance close to that of much heavier models, while being faster and less costly to operate.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li data-start=\"2698\" data-end=\"3331\">\n<p data-start=\"2701\" data-end=\"2837\"><strong data-start=\"2701\" data-end=\"2734\">Strong European sovereignty<\/strong><br data-start=\"2734\" data-end=\"2737\">Mistral is asserting itself as a <strong data-start=\"2764\" data-end=\"2801\">credible European alternative<\/strong> to the American and Chinese giants.<\/p>\n<ul data-start=\"2841\" data-end=\"3331\">\n<li data-start=\"2841\" data-end=\"2960\">\n<p data-start=\"2843\" data-end=\"2960\">By offering <strong data-start=\"2868\" data-end=\"2883\">open-weight<\/strong> models, it sets itself apart from OpenAI and Anthropic, who keep their models closed.<\/p>\n<\/li>\n<li data-start=\"2964\" data-end=\"3115\">\n<p data-start=\"2966\" data-end=\"3115\">This strategy responds to a strategic challenge: guaranteeing Europe&#8217;s <strong data-start=\"3038\" data-end=\"3068\">technological independence<\/strong> in the critical field of generative AI.<\/p>\n<\/li>\n<li data-start=\"3119\" data-end=\"3331\">\n<p data-start=\"3121\" data-end=\"3331\">Backed by public and private investors, Mistral has become a symbol of <strong data-start=\"3208\" data-end=\"3245\">European digital sovereignty<\/strong>, attracting strong interest from institutions and major corporations alike.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li data-start=\"3333\" data-end=\"3757\">\n<p data-start=\"3336\" data-end=\"3390\"><strong data-start=\"3336\" data-end=\"3388\">Rapid adoption and international recognition<\/strong><\/p>\n<ul data-start=\"3394\" data-end=\"3757\">\n<li data-start=\"3394\" data-end=\"3497\">\n<p data-start=\"3396\" data-end=\"3497\">Mistral&#8217;s models are already being used in industrial, academic and open-source projects.<\/p>\n<\/li>\n<li data-start=\"3501\" data-end=\"3607\">\n<p data-start=\"3503\" data-end=\"3607\">They appear in numerous benchmarks and publications as <strong data-start=\"3570\" data-end=\"3604\">essential references<\/strong>.<\/p>\n<\/li>\n<li data-start=\"3611\" data-end=\"3757\">\n<p data-start=\"3613\" data-end=\"3757\">Mistral benefits from <strong data-start=\"3637\" data-end=\"3668\">high media visibility<\/strong>, embodying the idea that a European start-up can compete with American leaders.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<hr data-start=\"3759\" data-end=\"3762\">\n<h3 data-start=\"3764\" data-end=\"3782\">Applications<\/h3>\n<ol data-start=\"3784\" data-end=\"5441\">\n<li data-start=\"3784\" data-end=\"4096\">\n<p data-start=\"3787\" data-end=\"4096\"><strong data-start=\"3787\" data-end=\"3826\">High-performance multilingual assistants<\/strong><br data-start=\"3826\" data-end=\"3829\">Mistral&#8217;s models are <strong data-start=\"3860\" data-end=\"3900\">naturally multilingual<\/strong>, with a particular focus on European languages. This makes them useful IA assistants not only for English, but also for French, German, Spanish, Italian, etc. <\/p>\n<\/li>\n<li data-start=\"4098\" data-end=\"4595\">\n<p data-start=\"4101\" data-end=\"4322\"><strong data-start=\"4101\" data-end=\"4164\">Sovereign AI solutions for companies and governments<\/strong><br data-start=\"4164\" data-end=\"4167\">In a context where the issue of <strong data-start=\"4208\" data-end=\"4234\">data protection<\/strong> is crucial, Mistral offers an alternative to American or Chinese solutions.<\/p>\n<ul data-start=\"4326\" data-end=\"4595\">\n<li data-start=\"4326\" data-end=\"4446\">\n<p data-start=\"4328\" data-end=\"4446\">European companies can deploy their own Mistral models, without having to rely on a foreign supplier.<\/p>\n<\/li>\n<li data-start=\"4450\" data-end=\"4595\">\n<p data-start=\"4452\" data-end=\"4595\">Governments see it as a response to the challenges of digital sovereignty, particularly in sensitive sectors such as defense, healthcare and finance.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li data-start=\"4597\" data-end=\"5070\">\n<p data-start=\"4600\" data-end=\"4742\"><strong data-start=\"4600\" data-end=\"4639\">Open-source research and innovation<\/strong><br data-start=\"4639\" data-end=\"4642\">True to its philosophy, Mistral regularly publishes its models on an open-weight basis.<\/p>\n<ul data-start=\"4746\" data-end=\"5070\">\n<li data-start=\"4746\" data-end=\"4809\">\n<p data-start=\"4748\" data-end=\"4809\">This encourages academic research and experimentation.<\/p>\n<\/li>\n<li data-start=\"4813\" data-end=\"4925\">\n<p data-start=\"4815\" data-end=\"4925\">The community is developing an ecosystem of tools, fine-tuning and derivative applications around Mistral.<\/p>\n<\/li>\n<li data-start=\"4929\" data-end=\"5070\">\n<p data-start=\"4931\" data-end=\"5070\">This openness positions Mistral as an engine for collaborative innovation, in contrast to the closed approaches of OpenAI or Anthropic.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li data-start=\"5072\" data-end=\"5441\">\n<p data-start=\"5075\" data-end=\"5220\"><strong data-start=\"5075\" data-end=\"5111\">Industrial adoption and edge AI<\/strong><br data-start=\"5111\" data-end=\"5114\">Thanks to its optimized models, Mistral can be deployed on <strong data-start=\"5198\" data-end=\"5217\">less expensive<\/strong> infrastructures.<\/p>\n<ul data-start=\"5224\" data-end=\"5441\">\n<li data-start=\"5224\" data-end=\"5299\">\n<p data-start=\"5226\" data-end=\"5299\">This opens the way to embedded applications (IoT, edge computing).<\/p>\n<\/li>\n<li data-start=\"5303\" data-end=\"5441\">\n<p data-start=\"5305\" data-end=\"5441\">This enables companies to integrate advanced NLP capabilities without having to invest heavily in high-end servers.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<hr data-start=\"3253\" data-end=\"3256\">\n<h2 data-start=\"3258\" data-end=\"3310\">6. DeepSeek (China): the champion of efficiency<\/h2>\n<h3 data-start=\"3312\" data-end=\"3330\">Presentation<\/h3>\n<p data-start=\"3331\" data-end=\"3480\"><strong data-start=\"3331\" data-end=\"3343\">DeepSeek<\/strong> made its mark in 2024-2025 with <strong data-start=\"3368\" data-end=\"3383\">DeepSeek V3<\/strong> and <strong data-start=\"3387\" data-end=\"3393\">R1<\/strong>, proving that it&#8217;s possible to train a high-performance model on a shoestring budget.<\/p>\n<h3 data-start=\"3482\" data-end=\"3494\">Forces<\/h3>\n<ul data-start=\"3495\" data-end=\"3588\">\n<li data-start=\"3495\" data-end=\"3529\">\n<p data-start=\"3497\" data-end=\"3529\">Record energy efficiency.<\/p>\n<\/li>\n<li data-start=\"3530\" data-end=\"3563\">\n<p data-start=\"3532\" data-end=\"3563\">Very low training costs.<\/p>\n<\/li>\n<li data-start=\"3564\" data-end=\"3588\">\n<p data-start=\"3566\" data-end=\"3588\">Partially open-source.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"3590\" data-end=\"3608\">Applications<\/h3>\n<ul data-start=\"3609\" data-end=\"3717\">\n<li data-start=\"3609\" data-end=\"3652\">\n<p data-start=\"3611\" data-end=\"3652\">Economic alternatives to US giants.<\/p>\n<\/li>\n<li data-start=\"3653\" data-end=\"3682\">\n<p data-start=\"3655\" data-end=\"3682\">Mass adoption in Asia.<\/p>\n<\/li>\n<li data-start=\"3683\" data-end=\"3717\">\n<p data-start=\"3685\" data-end=\"3717\">Education and public services.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"3719\" data-end=\"3722\">\n<h2 data-start=\"3724\" data-end=\"3774\">7. Perplexity: real-time search AI<\/h2>\n<h3 data-start=\"3776\" data-end=\"3794\">Presentation<\/h3>\n<p data-start=\"3795\" data-end=\"3974\"><strong data-start=\"3795\" data-end=\"3812\">Perplexity AI<\/strong> is not just a model, but a <strong data-start=\"3852\" data-end=\"3878\">search assistant<\/strong> based on LLM, with an approach focused on <strong data-start=\"3926\" data-end=\"3971\">navigation and source verification<\/strong>.<\/p>\n<h3 data-start=\"3976\" data-end=\"3988\">Forces<\/h3>\n<ul data-start=\"3989\" data-end=\"4197\">\n<li data-start=\"3989\" data-end=\"4045\">\n<p data-start=\"3991\" data-end=\"4045\"><strong data-start=\"3991\" data-end=\"4019\">Direct web connection<\/strong>: up-to-date answers.<\/p>\n<\/li>\n<li data-start=\"4046\" data-end=\"4135\">\n<p data-start=\"4048\" data-end=\"4135\"><strong data-start=\"4048\" data-end=\"4069\">References cited<\/strong> systematically (unlike classic hallucinations).<\/p>\n<\/li>\n<li data-start=\"4136\" data-end=\"4197\">\n<p data-start=\"4138\" data-end=\"4197\">Optimized interface for searching and learning.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"4199\" data-end=\"4217\">Applications<\/h3>\n<ul data-start=\"4218\" data-end=\"4355\">\n<li data-start=\"4218\" data-end=\"4259\">\n<p data-start=\"4220\" data-end=\"4259\">University documentary research.<\/p>\n<\/li>\n<li data-start=\"4260\" data-end=\"4298\">\n<p data-start=\"4262\" data-end=\"4298\">Journalism and business intelligence.<\/p>\n<\/li>\n<li data-start=\"4299\" data-end=\"4355\">\n<p data-start=\"4301\" data-end=\"4355\">Productivity tool for knowledge professionals.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4357\" data-end=\"4479\">\ud83d\udc49 Perplexity sets itself apart by combining <strong data-start=\"4397\" data-end=\"4426\">LLM + search engine<\/strong>, offering a credible alternative to Google Search.<\/p>\n<hr data-start=\"4481\" data-end=\"4484\">\n<h2 data-start=\"4486\" data-end=\"4531\">8. Grok (xAI &#8211; Elon Musk): the &#8220;rebel&#8221; AI<\/h2>\n<h3 data-start=\"4533\" data-end=\"4551\">Presentation<\/h3>\n<p data-start=\"4552\" data-end=\"4656\">Developed by <strong data-start=\"4566\" data-end=\"4573\">xAI<\/strong> (Elon Musk&#8217;s start-up), <strong data-start=\"4598\" data-end=\"4606\">Grok<\/strong> is integrated into the X platform (formerly Twitter).<\/p>\n<h3 data-start=\"4658\" data-end=\"4670\">Forces<\/h3>\n<ul data-start=\"4671\" data-end=\"4854\">\n<li data-start=\"4671\" data-end=\"4731\">\n<p data-start=\"4673\" data-end=\"4731\">Direct access to <strong data-start=\"4698\" data-end=\"4728\">real-time X\/Twitter<\/strong> data.<\/p>\n<\/li>\n<li data-start=\"4732\" data-end=\"4807\">\n<p data-start=\"4734\" data-end=\"4807\">A more &#8220;rebellious&#8221; and humorous tone, designed to stand out from ChatGPT.<\/p>\n<\/li>\n<li data-start=\"4808\" data-end=\"4854\">\n<p data-start=\"4810\" data-end=\"4854\">Fast, social conversational context.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"4856\" data-end=\"4874\">Applications<\/h3>\n<ul data-start=\"4875\" data-end=\"4993\">\n<li data-start=\"4875\" data-end=\"4899\">\n<p data-start=\"4877\" data-end=\"4899\">Chatbot integrated into X.<\/p>\n<\/li>\n<li data-start=\"4900\" data-end=\"4959\">\n<p data-start=\"4902\" data-end=\"4959\">Social interaction and live content generation.<\/p>\n<\/li>\n<li data-start=\"4960\" data-end=\"4993\">\n<p data-start=\"4962\" data-end=\"4993\">Experimentation for the general public.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4995\" data-end=\"5101\">\ud83d\udc49 Grok relies on a <strong data-start=\"5025\" data-end=\"5059\">differentiated, casual<\/strong> approach, attracting users from the X network.<\/p>\n<hr data-start=\"5103\" data-end=\"5106\">\n<h2 data-start=\"5108\" data-end=\"5153\">Comparative table of the 8 major LLMs (2025)<\/h2>\n<div class=\"_tableContainer_1rjym_1\">\n<div class=\"group _tableWrapper_1rjym_13 flex w-fit flex-col-reverse\" tabindex=\"-1\">\n<table class=\"w-fit min-w-(--thread-content-width)\" style=\"height: 384px;\" width=\"993\" data-start=\"5155\" data-end=\"5904\">\n<thead data-start=\"5155\" data-end=\"5224\">\n<tr data-start=\"5155\" data-end=\"5224\">\n<th data-start=\"5155\" data-end=\"5170\" data-col-size=\"sm\">Model<\/th>\n<th data-start=\"5170\" data-end=\"5187\" data-col-size=\"sm\">Organization<\/th>\n<th data-start=\"5187\" data-end=\"5201\" data-col-size=\"sm\">Key strengths<\/th>\n<th data-start=\"5201\" data-end=\"5224\" data-col-size=\"sm\">Flagship applications<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"5296\" data-end=\"5904\">\n<tr data-start=\"5296\" data-end=\"5371\">\n<td data-start=\"5296\" data-end=\"5311\" data-col-size=\"sm\"><strong data-start=\"5298\" data-end=\"5305\">GPT<\/strong><\/td>\n<td data-start=\"5311\" data-end=\"5328\" data-col-size=\"sm\">OpenAI<\/td>\n<td data-start=\"5328\" data-end=\"5349\" data-col-size=\"sm\">Versatile, fluid<\/td>\n<td data-start=\"5349\" data-end=\"5371\" data-col-size=\"sm\">ChatGPT, co-pilots<\/td>\n<\/tr>\n<tr data-start=\"5372\" data-end=\"5450\">\n<td data-start=\"5372\" data-end=\"5387\" data-col-size=\"sm\"><strong data-start=\"5374\" data-end=\"5384\">Claude<\/strong><\/td>\n<td data-start=\"5387\" data-end=\"5404\" data-col-size=\"sm\">Anthropic<\/td>\n<td data-start=\"5404\" data-end=\"5430\" data-col-size=\"sm\">Safety, long context<\/td>\n<td data-start=\"5430\" data-end=\"5450\" data-col-size=\"sm\">Analysis, support<\/td>\n<\/tr>\n<tr data-start=\"5451\" data-end=\"5523\">\n<td data-start=\"5451\" data-end=\"5466\" data-col-size=\"sm\"><strong data-start=\"5453\" data-end=\"5463\">Gemini<\/strong><\/td>\n<td data-start=\"5466\" data-end=\"5483\" data-col-size=\"sm\">Google DeepMind<\/td>\n<td data-start=\"5483\" data-end=\"5499\" data-col-size=\"sm\">Multimodality<\/td>\n<td data-start=\"5499\" data-end=\"5523\" data-col-size=\"sm\">Search, productivity<\/td>\n<\/tr>\n<tr data-start=\"5524\" data-end=\"5592\">\n<td data-start=\"5524\" data-end=\"5539\" data-col-size=\"sm\"><strong data-start=\"5526\" data-end=\"5535\">LLaMA<\/strong><\/td>\n<td data-start=\"5539\" data-end=\"5556\" data-col-size=\"sm\">Meta<\/td>\n<td data-start=\"5556\" data-end=\"5570\" data-col-size=\"sm\">Open-source<\/td>\n<td data-start=\"5570\" data-end=\"5592\" data-col-size=\"sm\">Research, edge AI<\/td>\n<\/tr>\n<tr data-start=\"5593\" data-end=\"5667\">\n<td data-start=\"5593\" data-end=\"5608\" data-col-size=\"sm\"><strong data-start=\"5595\" data-end=\"5606\">Mistral<\/strong><\/td>\n<td data-start=\"5608\" data-end=\"5625\" data-col-size=\"sm\">Mistral AI<\/td>\n<td data-start=\"5625\" data-end=\"5645\" data-col-size=\"sm\">MoE, sovereignty<\/td>\n<td data-start=\"5645\" data-end=\"5667\" data-col-size=\"sm\">Assistants, Europe<\/td>\n<\/tr>\n<tr data-start=\"5668\" data-end=\"5740\">\n<td data-start=\"5668\" data-end=\"5683\" data-col-size=\"sm\"><strong data-start=\"5670\" data-end=\"5682\">DeepSeek<\/strong><\/td>\n<td data-start=\"5683\" data-end=\"5700\" data-col-size=\"sm\">DeepSeek AI<\/td>\n<td data-start=\"5700\" data-end=\"5723\" data-col-size=\"sm\">Efficiency, low-cost<\/td>\n<td data-start=\"5723\" data-end=\"5740\" data-col-size=\"sm\">Adoption Asia<\/td>\n<\/tr>\n<tr data-start=\"5741\" data-end=\"5820\">\n<td data-start=\"5741\" data-end=\"5757\" data-col-size=\"sm\"><strong data-start=\"5743\" data-end=\"5757\">Perplexity<\/strong><\/td>\n<td data-start=\"5757\" data-end=\"5773\" data-col-size=\"sm\">Perplexity AI<\/td>\n<td data-start=\"5773\" data-end=\"5795\" data-col-size=\"sm\">Connected search<\/td>\n<td data-start=\"5795\" data-end=\"5820\" data-col-size=\"sm\">Monitoring, documentation<\/td>\n<\/tr>\n<tr data-start=\"5821\" data-end=\"5904\">\n<td data-start=\"5821\" data-end=\"5836\" data-col-size=\"sm\"><strong data-start=\"5823\" data-end=\"5831\">Grok<\/strong><\/td>\n<td data-start=\"5836\" data-end=\"5853\" data-col-size=\"sm\">xAI (Elon Musk)<\/td>\n<td data-start=\"5853\" data-end=\"5885\" data-col-size=\"sm\">Real time on X, your rebel<\/td>\n<td data-start=\"5885\" data-end=\"5904\" data-col-size=\"sm\">Social media IA<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<\/div>\n<\/div>\n<hr data-start=\"5906\" data-end=\"5909\">\n<h2 data-start=\"5911\" data-end=\"5966\">Conclusion: a diversified and competitive LLM landscape<\/h2>\n<p data-start=\"5968\" data-end=\"6048\">In 2025, the market for <strong data-start=\"5991\" data-end=\"6013\">language models<\/strong> is more diverse than ever:<\/p>\n<ul data-start=\"6049\" data-end=\"6473\">\n<li data-start=\"6049\" data-end=\"6090\">\n<p data-start=\"6051\" data-end=\"6090\"><strong data-start=\"6051\" data-end=\"6061\">OpenAI<\/strong> remains the market leader.<\/p>\n<\/li>\n<li data-start=\"6091\" data-end=\"6136\">\n<p data-start=\"6093\" data-end=\"6136\"><strong data-start=\"6093\" data-end=\"6106\">Anthropic<\/strong> makes AI safe and reliable.<\/p>\n<\/li>\n<li data-start=\"6137\" data-end=\"6176\">\n<p data-start=\"6139\" data-end=\"6176\"><strong data-start=\"6139\" data-end=\"6149\">Google<\/strong> pushes multimodality.<\/p>\n<\/li>\n<li data-start=\"6177\" data-end=\"6220\">\n<p data-start=\"6179\" data-end=\"6220\"><strong data-start=\"6179\" data-end=\"6187\">Meta<\/strong> paves the way for open-source.<\/p>\n<\/li>\n<li data-start=\"6221\" data-end=\"6269\">\n<p data-start=\"6223\" data-end=\"6269\"><a href=\"https:\/\/mistral.ai\"><strong data-start=\"6223\" data-end=\"6234\">Mistral<\/strong> <\/a>embodies European innovation.<\/p>\n<\/li>\n<li data-start=\"6270\" data-end=\"6338\">\n<p data-start=\"6272\" data-end=\"6338\"><strong data-start=\"6272\" data-end=\"6284\">DeepSeek<\/strong> proves that efficiency and low cost are possible.<\/p>\n<\/li>\n<li data-start=\"6339\" data-end=\"6410\">\n<p data-start=\"6341\" data-end=\"6410\"><strong data-start=\"6341\" data-end=\"6355\">Perplexity<\/strong> combines LLM + research for reliable information.<\/p>\n<\/li>\n<li data-start=\"6411\" data-end=\"6473\">\n<p data-start=\"6413\" data-end=\"6473\"><strong data-start=\"6413\" data-end=\"6421\">Grok<\/strong> offers social, offbeat AI in real time.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"6475\" data-end=\"6633\">\ud83d\udc49 The future of LLM will not be dominated by a single model, but by a <strong data-start=\"6546\" data-end=\"6584\">rich, complementary ecosystem<\/strong>, where each player occupies a specific niche.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The rise ofgenerative artificial intelligence is profoundly transforming our society. Behind this revolution are LLMs (Large Language Models), capable of understanding and generating text, programming and even multimodal content. By 2025, eight models will dominate the global landscape: GPT (OpenAI), Claude (Anthropic), Gemini (Google DeepMind), LLaMA (Meta), Mistral (Mistral AI)DeepSeek (China), Perplexity and Grok (xAI). [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[78],"tags":[],"class_list":["post-4746","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The 8 major LLM models dominating artificial intelligence | Palmer<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/palmer-consulting.com\/en\/the-8-major-llm-models-dominating-artificial-intelligence\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The 8 major LLM models dominating artificial intelligence | Palmer\" \/>\n<meta property=\"og:description\" content=\"The rise ofgenerative artificial intelligence is profoundly transforming our society. Behind this revolution are LLMs (Large Language Models), capable of understanding and generating text, programming and even multimodal content. By 2025, eight models will dominate the global landscape: GPT (OpenAI), Claude (Anthropic), Gemini (Google DeepMind), LLaMA (Meta), Mistral (Mistral AI)DeepSeek (China), Perplexity and Grok (xAI). 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