{"id":48113,"date":"2025-01-11T04:17:39","date_gmt":"2025-01-11T04:17:39","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=48113"},"modified":"2026-02-21T07:24:48","modified_gmt":"2026-02-21T07:24:48","slug":"what-are-the-list-of-large-language-model-llm-available-by-2025","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/what-are-the-list-of-large-language-model-llm-available-by-2025\/","title":{"rendered":"What are the list of large language model (LLM) available by 2026"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Large Language Models (LLMs) as of January 2026<\/h3>\n\n\n\n

By early 2026, numerous advanced Large Language Models (LLMs) have been developed, each with unique features tailored to specific applications. Below is a comprehensive overview of some of the most notable LLMs:<\/p>\n\n\n\n

\n\n\n\n

1. GPT-4<\/strong><\/h4>\n\n\n\n
    \n
  • Developer<\/strong>: OpenAI<\/li>\n\n\n\n
  • Key Features<\/strong>: A multimodal model capable of processing both text and images, with rumored parameters exceeding 170 trillion.<\/li>\n<\/ul>\n\n\n\n
    \n\n\n\n

    2. Claude<\/strong><\/h4>\n\n\n\n
      \n
    • Developer<\/strong>: Anthropic<\/li>\n\n\n\n
    • Key Features<\/strong>: Known for its advanced conversational abilities and safety features, making it suitable for tasks ranging from dialogue systems to coding.<\/li>\n<\/ul>\n\n\n\n
      \n\n\n\n

      3. Gemini<\/strong><\/h4>\n\n\n\n
        \n
      • Developer<\/strong>: Google AI<\/li>\n\n\n\n
      • Key Features<\/strong>: Previously known as Bard, this multimodal model excels at real-time data access, text generation, language translation, and coding tasks.<\/li>\n<\/ul>\n\n\n\n
        \n\n\n\n

        4. LLaMA (Large Language Model Meta AI)<\/strong><\/h4>\n\n\n\n
          \n
        • Developer<\/strong>: Meta<\/li>\n\n\n\n
        • Key Features<\/strong>: Open-source with versions scaling up to 405 billion parameters, designed for a variety of applications including text and image processing.<\/li>\n<\/ul>\n\n\n\n
          \n\n\n\n

          5. Mistral Large 2<\/strong><\/h4>\n\n\n\n
            \n
          • Developer<\/strong>: Mistral<\/li>\n\n\n\n
          • Key Features<\/strong>: Offers 123 billion parameters with an extended context window of 128,000 tokens, optimized for computational efficiency and document processing.<\/li>\n<\/ul>\n\n\n\n
            \n\n\n\n

            6. Vicuna<\/strong><\/h4>\n\n\n\n
              \n
            • Developer<\/strong>: LMSYS<\/li>\n\n\n\n
            • Key Features<\/strong>: Built on LLaMA, this model is fine-tuned with conversational data, improving its performance in real-world applications.<\/li>\n<\/ul>\n\n\n\n
              \n\n\n\n

              7. OLMo 2<\/strong><\/h4>\n\n\n\n
                \n
              • Developer<\/strong>: Allen Institute for AI (Ai2)<\/li>\n\n\n\n
              • Key Features<\/strong>: Available in 7B and 13B parameter versions, particularly strong in question answering and summarization tasks.<\/li>\n<\/ul>\n\n\n\n
                \n\n\n\n

                8. StableLM<\/strong><\/h4>\n\n\n\n
                  \n
                • Developer<\/strong>: Stability AI<\/li>\n\n\n\n
                • Key Features<\/strong>: Open-source with parameter sizes ranging from 3B to 175B, recognized for its flexibility and broad applicability.<\/li>\n<\/ul>\n\n\n\n
                  \n\n\n\n

                  9. Cohere<\/strong><\/h4>\n\n\n\n
                    \n
                  • Developer<\/strong>: Cohere Inc.<\/li>\n\n\n\n
                  • Key Features<\/strong>: An open-source model trained on a diverse dataset, excelling in handling multiple languages and accents.<\/li>\n<\/ul>\n\n\n\n
                    \n\n\n\n

                    10. GLM-130B<\/strong><\/h4>\n\n\n\n
                      \n
                    • Developer<\/strong>: Tsinghua University<\/li>\n\n\n\n
                    • Key Features<\/strong>: A powerful model designed for various natural language processing tasks.<\/li>\n<\/ul>\n\n\n\n
                      \n\n\n\n

                      11. DeepSeek<\/strong><\/h4>\n\n\n\n
                        \n
                      • Developer<\/strong>: Unknown<\/li>\n\n\n\n
                      • Key Features<\/strong>: Gained recognition for its innovative approach to language understanding.<\/li>\n<\/ul>\n\n\n\n
                        \n\n\n\n

                        12. Qwen<\/strong><\/h4>\n\n\n\n
                          \n
                        • Developer<\/strong>: Unknown<\/li>\n\n\n\n
                        • Key Features<\/strong>: Delivers strong performance across a wide range of NLP tasks.<\/li>\n<\/ul>\n\n\n\n
                          \n\n\n\n

                          13. Phi-1<\/strong><\/h4>\n\n\n\n
                            \n
                          • Developer<\/strong>: Microsoft<\/li>\n\n\n\n
                          • Key Features<\/strong>: A compact model with 1.3 billion parameters, highly effective in Python coding tasks.<\/li>\n<\/ul>\n\n\n\n
                            \n\n\n\n

                            14. Gemma<\/strong><\/h4>\n\n\n\n
                              \n
                            • Developer<\/strong>: Google (Open Source)<\/li>\n\n\n\n
                            • Key Features<\/strong>: Offered in 2B and 7B parameter variants, providing efficient performance for local applications.<\/li>\n<\/ul>\n\n\n\n
                              \n\n\n\n

                              Conclusion<\/h3>\n\n\n\n

                              The LLM landscape by January 2026 highlights rapid innovation, showcasing models with varied capabilities from multimodal processing to domain-specific optimizations. These advancements reflect the growing diversity in AI technologies, offering solutions for a wide range of industries and applications.<\/p>\n\n\n\n

                              Comparison of Large Language Models (LLMs) as of January 2026<\/h2>\n\n\n\n

                              Comparison of Large Language Models (LLMs) as of January 2026<\/h3>\n\n\n\n

                              Here is an updated comparison of notable LLMs available by January 2026:<\/p>\n\n\n\n

                              Here\u2019s a comparative table of notable large language models (LLMs) available by January 2026, highlighting their key features, parameters, and capabilities:<\/p>\n\n\n\n

                              Model Name<\/strong><\/th>Developer<\/strong><\/th>Parameters<\/strong><\/th>Multimodal Capabilities<\/strong><\/th>Key Features<\/strong><\/th>Use Cases<\/strong><\/th><\/tr><\/thead>
                              GPT-4<\/strong><\/td>OpenAI<\/td>1.5 Trillion<\/td>Yes<\/td>Advanced reasoning, strong performance across benchmarks<\/td>General AI applications, coding<\/td><\/tr>
                              Claude<\/strong><\/td>Anthropic<\/td>52 Billion<\/td>No<\/td>Strong conversational abilities, safety-focused<\/td>Customer support, content generation<\/td><\/tr>
                              Gemini<\/strong><\/td>Google AI<\/td>1.6 Trillion<\/td>Yes<\/td>Real-time data access, strong reasoning capabilities<\/td>Research, content creation<\/td><\/tr>
                              LLaMA 3.2<\/strong><\/td>Meta<\/td>Up to 405 Billion<\/td>Yes<\/td>Open-source, versatile for various applications<\/td>Education, marketing<\/td><\/tr>
                              Mistral Large 2<\/strong><\/td>Mistral<\/td>123 Billion<\/td>No<\/td>High efficiency, excels in coding tasks<\/td>Software development<\/td><\/tr>
                              Vicuna<\/strong><\/td>LMSYS<\/td>Up to 13 Billion<\/td>No<\/td>Fine-tuned for conversational context<\/td>Chatbots, personal assistants<\/td><\/tr>
                              OLMo 2<\/strong><\/td>Allen Institute<\/td>7B \/ 13B<\/td>No<\/td>Strong in question answering and summarization<\/td>Educational tools<\/td><\/tr>
                              StableLM<\/strong><\/td>Stability AI<\/td>3B – 175B<\/td>No<\/td>Open-source and versatile<\/td>Various NLP tasks<\/td><\/tr>
                              GLM-130B<\/strong><\/td>Tsinghua University<\/td>130 Billion<\/td>No<\/td>Strong natural language processing capabilities<\/td>Research and development<\/td><\/tr>
                              DeepSeek<\/strong><\/td>Unknown<\/td>Undisclosed<\/td>No<\/td>Innovative language understanding<\/td>General AI applications<\/td><\/tr>
                              Qwen<\/strong><\/td>Unknown<\/td>Undisclosed<\/td>No<\/td>Competitive performance in NLP tasks<\/td>Various applications<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

                              This table summarizes the key aspects of each model, providing a clear overview of their capabilities and potential applications in various fields.<\/p>\n\n\n\n

                              \n\n\n\n

                              Insights:<\/h3>\n\n\n\n
                                \n
                              1. Multimodal Capabilities<\/strong>: Models like GPT-4 and Gemini excel with text and image processing, making them versatile for creative and analytical tasks.<\/li>\n\n\n\n
                              2. Open-Source Advantages<\/strong>: LLaMA, StableLM, and Gemma offer accessibility for developers to build custom applications.<\/li>\n\n\n\n
                              3. Coding Specialization<\/strong>: Phi-1 (Microsoft) and Claude (Anthropic) stand out in programming-related tasks.<\/li>\n\n\n\n
                              4. Efficiency Models<\/strong>: Mistral Large 2 and StableLM provide options for computational efficiency and long-context tasks.<\/li>\n\n\n\n
                              5. Multilingual Excellence<\/strong>: Cohere and StableLM are strong contenders for multilingual NLP tasks.<\/li>\n<\/ol>\n\n\n\n

                                This table reflects the diversity and rapid advancements in LLMs, catering to a broad spectrum of industries and applications by January 2026.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                Large Language Models (LLMs) as of January 2026 By early 2026, numerous advanced Large Language Models (LLMs) have been developed, each with unique features tailored to specific applications. Below is a comprehensive overview of some of the most notable LLMs: 1. GPT-4 2. Claude 3. Gemini 4. LLaMA (Large Language Model Meta AI) 5. Mistral…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","_joinchat":[],"footnotes":""},"categories":[2],"tags":[],"class_list":["post-48113","post","type-post","status-publish","format-standard","hentry","category-uncategorised"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/48113","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=48113"}],"version-history":[{"count":4,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/48113\/revisions"}],"predecessor-version":[{"id":58862,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/48113\/revisions\/58862"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=48113"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=48113"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=48113"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}