{"id":13612,"date":"2025-07-31T14:45:14","date_gmt":"2025-07-31T14:45:14","guid":{"rendered":"https:\/\/craighordlow.com\/index.php\/2025\/07\/31\/22-best-large-language-models-llms-in-2025\/"},"modified":"2025-07-31T14:45:14","modified_gmt":"2025-07-31T14:45:14","slug":"22-best-large-language-models-llms-in-2025","status":"publish","type":"post","link":"https:\/\/craighordlow.com\/index.php\/2025\/07\/31\/22-best-large-language-models-llms-in-2025\/","title":{"rendered":"22 Best Large Language Models (LLMs) in 2025"},"content":{"rendered":"<p>Large language models, also known as LLMs, are advanced AI systems that were pre-trained on large data sets designed to recognize human language and generate unique content based on user input.<\/p>\n<p>In fact, there are over 300 LLMs designed for a range of use cases from text generation to writing code. In this blog post, you\u2019ll find a list of 22 leading LLMs as of July 2025.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_81 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/craighordlow.com\/index.php\/2025\/07\/31\/22-best-large-language-models-llms-in-2025\/#Best_LLMs_in_July_2025\" >Best LLMs in July 2025<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/craighordlow.com\/index.php\/2025\/07\/31\/22-best-large-language-models-llms-in-2025\/#1_Grok_4\" >1. Grok 4<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/craighordlow.com\/index.php\/2025\/07\/31\/22-best-large-language-models-llms-in-2025\/#2_GPT-41\" >2. GPT-4.1<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/craighordlow.com\/index.php\/2025\/07\/31\/22-best-large-language-models-llms-in-2025\/#3_Gemini_25_Pro\" >3. Gemini 2.5 Pro<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/craighordlow.com\/index.php\/2025\/07\/31\/22-best-large-language-models-llms-in-2025\/#4_DeepSeek_R1_0528\" >4. DeepSeek R1 0528<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/craighordlow.com\/index.php\/2025\/07\/31\/22-best-large-language-models-llms-in-2025\/#5_Claude_Opus_4\" >5. Claude Opus 4<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/craighordlow.com\/index.php\/2025\/07\/31\/22-best-large-language-models-llms-in-2025\/#6_Qwen3-235B-A22B-Thinking-2507\" >6. Qwen3-235B-A22B-Thinking-2507<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/craighordlow.com\/index.php\/2025\/07\/31\/22-best-large-language-models-llms-in-2025\/#7_Claude_Sonnet_4\" >7. Claude Sonnet 4<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Best_LLMs_in_July_2025\"><\/span>Best LLMs in July 2025<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Here\u2019s a table with 22 key large language models (LLMS) in 2025:<\/p>\n<div class=\"table-responsive\">\n<table class=\"table table-primary table-striped table-hover\">\n<thead>\n<tr>\n<th scope=\"col\">LLM Name<\/th>\n<th scope=\"col\">Developer<\/th>\n<th scope=\"col\">Release Date<\/th>\n<th scope=\"col\">Context Length<\/th>\n<th scope=\"col\">License<\/th>\n<th scope=\"col\">Active Parameters<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Llama 4 Scout<\/td>\n<td data-before=\"Developer\">Meta AI<\/td>\n<td data-before=\"Release Date\">April 2025<\/td>\n<td data-before=\"Context Length\">10 million<\/td>\n<td data-before=\"License\">Open Source<\/td>\n<td data-before=\"Active Parameters\">17 billion<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Grok 4<\/td>\n<td data-before=\"Developer\">xAI<\/td>\n<td data-before=\"Release Date\">July 2025<\/td>\n<td data-before=\"Context Length\">256 thousand<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Gemini 2.5 Pro<\/td>\n<td data-before=\"Developer\">Google<\/td>\n<td data-before=\"Release Date\">March 2025<\/td>\n<td data-before=\"Context Length\">1 million<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">MiniMax-Text-01<\/td>\n<td data-before=\"Developer\">MiniMax<\/td>\n<td data-before=\"Release Date\">January 2025<\/td>\n<td data-before=\"Context Length\">4 million<\/td>\n<td data-before=\"License\">Open Source<\/td>\n<td data-before=\"Active Parameters\">45.9 billion<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">o3-pro<\/td>\n<td data-before=\"Developer\">OpenAI<\/td>\n<td data-before=\"Release Date\">April 2025<\/td>\n<td data-before=\"Context Length\">200 thousand<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">DeepSeek-R1-0528<\/td>\n<td data-before=\"Developer\">DeepSeek<\/td>\n<td data-before=\"Release Date\">May 2025<\/td>\n<td data-before=\"Context Length\">128 thousand<\/td>\n<td data-before=\"License\">Open Source<\/td>\n<td data-before=\"Active Parameters\">37 billion<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">GPT-4.1<\/td>\n<td data-before=\"Developer\">xAI<\/td>\n<td data-before=\"Release Date\">April 2025<\/td>\n<td data-before=\"Context Length\">1 million<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Nova Premier<\/td>\n<td data-before=\"Developer\">Amazon Web Services<\/td>\n<td data-before=\"Release Date\">April 2025<\/td>\n<td data-before=\"Context Length\">1 million<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">o4-mini<\/td>\n<td data-before=\"Developer\">OpenAI<\/td>\n<td data-before=\"Release Date\">April 2025<\/td>\n<td data-before=\"Context Length\">200 thousand<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">o3-mini<\/td>\n<td data-before=\"Developer\">OpenAI<\/td>\n<td data-before=\"Release Date\">January 2025<\/td>\n<td data-before=\"Context Length\">200 thousand<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Gemini 2.5 Flash<\/td>\n<td data-before=\"Developer\">Google<\/td>\n<td data-before=\"Release Date\">April 2025<\/td>\n<td data-before=\"Context Length\">1 million<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Claude Opus 4<\/td>\n<td data-before=\"Developer\">Anthropic<\/td>\n<td data-before=\"Release Date\">May 2025<\/td>\n<td data-before=\"Context Length\">200 thousand<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Claude Sonnet 4<\/td>\n<td data-before=\"Developer\">Anthropic<\/td>\n<td data-before=\"Release Date\">May 2025<\/td>\n<td data-before=\"Context Length\">200 thousand<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Qwen3-235B-A22B-Thinking-2507<\/td>\n<td data-before=\"Developer\">Alibaba<\/td>\n<td data-before=\"Release Date\">July 2025<\/td>\n<td data-before=\"Context Length\">262 thousand<\/td>\n<td data-before=\"License\">Open Source<\/td>\n<td data-before=\"Active Parameters\">22 billion<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Llama Nemotron Ultra<\/td>\n<td data-before=\"Developer\">NVIDIA<\/td>\n<td data-before=\"Release Date\">April 2025<\/td>\n<td data-before=\"Context Length\">128 thousand<\/td>\n<td data-before=\"License\">Open Source<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Mistral Medium 3<\/td>\n<td data-before=\"Developer\">Mistral AI<\/td>\n<td data-before=\"Release Date\">May 2025<\/td>\n<td data-before=\"Context Length\">128 thousand<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">DeepSeek-R1<\/td>\n<td data-before=\"Developer\">DeepSeek<\/td>\n<td data-before=\"Release Date\">January 2025<\/td>\n<td data-before=\"Context Length\">128 thousand<\/td>\n<td data-before=\"License\">Open Source<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Solar Pro 2<\/td>\n<td data-before=\"Developer\">Upstage AI<\/td>\n<td data-before=\"Release Date\">July 2025<\/td>\n<td data-before=\"Context Length\">66 thousand<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Kimi K2<\/td>\n<td data-before=\"Developer\">Moonshot AI<\/td>\n<td data-before=\"Release Date\">July 2025<\/td>\n<td data-before=\"Context Length\">128 thousand<\/td>\n<td data-before=\"License\">Open Source<\/td>\n<td data-before=\"Active Parameters\">32 billion<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">o3<\/td>\n<td data-before=\"Developer\">OpenAI<\/td>\n<td data-before=\"Release Date\">April 2025<\/td>\n<td data-before=\"Context Length\">200 thousand<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">Grok 3 Mini<\/td>\n<td data-before=\"Developer\">xAI<\/td>\n<td data-before=\"Release Date\">February 2025<\/td>\n<td data-before=\"Context Length\">1 million<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<tr>\n<td scope=\"row\" data-before=\"LLM Name\">GPT-4o<\/td>\n<td data-before=\"Developer\">OpenAI<\/td>\n<td data-before=\"Release Date\">March 2025<\/td>\n<td data-before=\"Context Length\">128 thousand<\/td>\n<td data-before=\"License\">Proprietary<\/td>\n<td data-before=\"Active Parameters\">Unknown<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>Let\u2019s take a closer look at some of the most popular models recently introduced to the market.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"1_Grok_4\"><\/span>1. Grok 4<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<figure class=\"backlinko-image__screenshot backlinko-image backlinko-has-border\">\n<div class=\"backlinko-img-placeholder\"><\/div>\n<p><img decoding=\"async\" title=\"Grok 4 \u2013 Homepage\" alt=\"Grok 4 \u2013 Homepage\" data-aspect-ratio=\"0.82571428571429\" src=\"https:\/\/backlinko.com\/app\/uploads\/2025\/07\/grok-4-homepage.png\" loading=\"lazy\" \/><\/p><\/figure>\n<p><strong>Developer:<\/strong> xAI<\/p>\n<p><strong>Release Date:<\/strong> July 9, 2025<\/p>\n<p><strong>Context Length:<\/strong> 256 thousand tokens<\/p>\n<p><strong>Image Input Support:<\/strong> Available<\/p>\n<p><strong>License:<\/strong> Proprietary<\/p>\n<p><strong>What is it?<\/strong> Grok 4 is the latest AI model developed by xAI, Elon Musk\u2019s startup.<\/p>\n<p>The model utilized a large and varied dataset for training, leveraging <a title=\"What Is Grok 4? Elon Musk\u2019s Newest AI Model, Explained | Built In\" href=\"https:\/\/builtin.com\/artificial-intelligence\/grok-4\" target=\"_blank\" rel=\"noopener\">xAI\u2019s internal supercomputer<\/a>, Colossus, which is equipped with 200,000 GPUs.<\/p>\n<p>Grok 4 can utilize external tools such as search engines and code interpreters. When addressing complex programming challenges or looking for current information on a topic, the model can generate its own search queries and retrieve real-time data from the internet to enhance its responses.<\/p>\n<p>The model is also capable of analyzing various media types, including images and videos, which helps to increase the relevance and accuracy of its answers.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"2_GPT-41\"><\/span>2. GPT-4.1<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<figure class=\"backlinko-image__screenshot backlinko-image backlinko-has-border\">\n<div class=\"backlinko-img-placeholder\"><\/div>\n<p><img decoding=\"async\" title=\"OpenAI \u2013 GPT-4.1\" alt=\"OpenAI \u2013 GPT-4.1\" data-aspect-ratio=\"0.65571428571429\" src=\"https:\/\/backlinko.com\/app\/uploads\/2025\/07\/openai-gpt-4-1.png\" loading=\"lazy\" \/><\/p><\/figure>\n<p><strong>Developer:<\/strong> xAI<\/p>\n<p><strong>Release Date:<\/strong> April 14, 2025<\/p>\n<p><strong>Context Length:<\/strong> 1 million tokens<\/p>\n<p><strong>Image Input Support:<\/strong> Available<\/p>\n<p><strong>License:<\/strong> Proprietary<\/p>\n<p><strong>What is it?<\/strong> GPT-4.1 is a flagship <a title=\"GPT-4.1 explained: Everything you need to know\" href=\"https:\/\/www.techtarget.com\/whatis\/feature\/GPT-41-explained-Everything-you-need-to-know\" target=\"_blank\" rel=\"noopener\">general-purpose model<\/a> from OpenAI designed for \u201c<a title=\"Model - OpenAI API\" href=\"https:\/\/platform.openai.com\/docs\/models\/gpt-4.1\" target=\"_blank\" rel=\"noopener\">problem solving<\/a> across domains\u201d, as the company describes itself.<\/p>\n<p>The model supports a context window of up to 1 million tokens, allowing for the analysis of larger datasets. GPT-4.1 is a versatile model capable of analyzing both text and images.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"3_Gemini_25_Pro\"><\/span>3. Gemini 2.5 Pro<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<figure class=\"backlinko-image__screenshot backlinko-image backlinko-has-border\">\n<div class=\"backlinko-img-placeholder\"><\/div>\n<p><img decoding=\"async\" title=\"Gemini 2.5 Pro\" alt=\"Gemini 2.5 Pro\" data-aspect-ratio=\"0.64142857142857\" src=\"https:\/\/backlinko.com\/app\/uploads\/2025\/07\/gemini-2-5-pro.png\" loading=\"lazy\" \/><\/p><\/figure>\n<p>\n<strong>Developer:<\/strong> Google<\/p>\n<p><strong>Release Date:<\/strong> June 17, 2025<\/p>\n<p><strong>Context Length:<\/strong> 1 million tokens<\/p>\n<p><strong>Image Input Support:<\/strong> Available<\/p>\n<p><strong>License:<\/strong> Proprietary<\/p>\n<p><strong>What is it?<\/strong> Gemini 2.5 Pro is Google\u2019s <a title=\"Gemini 2.5 Pro | Generative AI on Vertex AI | Google Cloud\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/models\/gemini\/2-5-pro\" target=\"_blank\" rel=\"noopener\">most advanced<\/a> AI model within the Gemini series, designed to address complex problems.<\/p>\n<p>Recently released in June 2025, it stands out as a multimodal large language model (LLM), capable of processing and analyzing diverse data types, including text, audio, images, video, and entire code repositories. This versatility allows Gemini 2.5 Pro to extract insights and<br \/>\ngenerate solutions from a wide array of information sources.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"4_DeepSeek_R1_0528\"><\/span>4. DeepSeek R1 0528<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<figure class=\"backlinko-image__screenshot backlinko-image backlinko-has-border\">\n<div class=\"backlinko-img-placeholder\"><\/div>\n<p><img decoding=\"async\" title=\"Chat \u2013 DeepSeek\" alt=\"Chat \u2013 DeepSeek\" data-aspect-ratio=\"0.42285714285714\" src=\"https:\/\/backlinko.com\/app\/uploads\/2025\/07\/chat-deepseek.png\" loading=\"lazy\" \/><\/p><\/figure>\n<p><strong>Developer:<\/strong> DeepSeek<\/p>\n<p><strong>Release Date:<\/strong> May 28, 2025<\/p>\n<p><strong>Context Length:<\/strong> 128 thousand tokens<\/p>\n<p><strong>Image Input Support:<\/strong> Not available<\/p>\n<p><strong>License:<\/strong> Open Source<\/p>\n<p><strong>What is it?<\/strong> DeepSeek R1 0528 is the <a title=\"DeepSeek-R1-0528 Release\" href=\"https:\/\/api-docs.deepseek.com\/news\/news250528\" target=\"_blank\" rel=\"noopener\">latest<\/a> iteration of DeepSeek\u2019s R1 AI model, released on May 28, 2025.<\/p>\n<p>The model\u2019s advanced reasoning features enable it to tackle complex problems more effectively, making it suitable for applications that require deep analytical skills.<\/p>\n<p>DeepSeek R1 0528 continues to be an <a title=\"DeepSeek\u2019s New R1\u20130528: Performance Analysis and Benchmar...\" href=\"https:\/\/medium.com\/@leucopsis\/deepseeks-new-r1-0528-performance-analysis-and-benchmark-comparisons-6440eac858d6\" target=\"_blank\" rel=\"noopener\">open-weight<\/a> model, boasting an impressive architecture with 685 billion parameters. Of these, approximately 37 billion are active at inference time.<\/p>\n<p>This improvement solidifies DeepSeek\u2019s position as a comprehensive open-source alternative to leading proprietary models from OpenAI and Google, all while preserving the cost-effectiveness and accessibility inherent in open-source development.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"5_Claude_Opus_4\"><\/span>5. Claude Opus 4<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<figure class=\"backlinko-image__screenshot backlinko-image backlinko-has-border\">\n<div class=\"backlinko-img-placeholder\"><\/div>\n<p><img decoding=\"async\" title=\"Anthropic \u2013 Claude Opus 4\" alt=\"Anthropic \u2013 Claude Opus 4\" data-aspect-ratio=\"0.86\" src=\"https:\/\/backlinko.com\/app\/uploads\/2025\/07\/anthropic-claude-opus-4.png\" loading=\"lazy\" \/><\/p><\/figure>\n<p><strong>Developer:<\/strong> Anthropic<\/p>\n<p><strong>Release Date:<\/strong> May 22, 2025<\/p>\n<p><strong>Context Length:<\/strong> 200 thousand tokens<\/p>\n<p><strong>Image Input Support:<\/strong> Available<\/p>\n<p><strong>License:<\/strong> Proprietary<\/p>\n<p><strong>What is it?<\/strong> Claude 4 Opus is the <a title=\"Claude Opus 4 Anthropic\" href=\"https:\/\/www.anthropic.com\/claude\/opus\" target=\"_blank\" rel=\"noopener\">most advanced AI model<\/a> from Anthropic, the company states.<\/p>\n<p>Recently released in May 2025, it excels in handling complex, long-running tasks, making it ideal for coding, deep research, and writing.<\/p>\n<p>The model supports a context length of 200 thousand tokens, which is typical for AI models within the Claude 4 family.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"6_Qwen3-235B-A22B-Thinking-2507\"><\/span>6. Qwen3-235B-A22B-Thinking-2507<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<figure class=\"backlinko-image__screenshot backlinko-image backlinko-has-border\">\n<div class=\"backlinko-img-placeholder\"><\/div>\n<p><img decoding=\"async\" title=\"Hugging Face \u2013 Qwen3-235B-A22B-Thinking-2507\" alt=\"Hugging Face \u2013 Qwen3-235B-A22B-Thinking-2507\" data-aspect-ratio=\"0.81857142857143\" src=\"https:\/\/backlinko.com\/app\/uploads\/2025\/07\/huggingface-qwen3-235b-a22b-thinking-2507.png\" loading=\"lazy\" \/><\/p><\/figure>\n<p><strong>Developer:<\/strong> Alibaba<\/p>\n<p><strong>Release Date:<\/strong> July, 2025<\/p>\n<p><strong>Context Length:<\/strong> 262 thousand tokens<\/p>\n<p><strong>Image Input Support:<\/strong> Not available<\/p>\n<p><strong>License:<\/strong> Open Source<\/p>\n<p><strong>What is it?<\/strong> Qwen3-235B-A22B-Thinking-2507 is an advanced, open-source language learning model developed by Alibaba Cloud, designed for reasoning tasks.<\/p>\n<p>Supports a native context length of <a title=\"Qwen\/Qwen3-235B-A22B-Thinking-2507 \u00b7 Hugging Face\" href=\"https:\/\/huggingface.co\/Qwen\/Qwen3-235B-A22B-Thinking-2507\" target=\"_blank\" rel=\"noopener\">262,144<\/a> tokens, which is crucial for complex reasoning tasks and can be used in various applications, including code generation tasks and solving math problems.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"7_Claude_Sonnet_4\"><\/span>7. Claude Sonnet 4<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<figure class=\"backlinko-image__screenshot backlinko-image backlinko-has-border\">\n<div class=\"backlinko-img-placeholder\"><\/div>\n<p><img decoding=\"async\" title=\"Anthropic \u2013 Claude Sonnet 4\" alt=\"Anthropic \u2013 Claude Sonnet 4\" data-aspect-ratio=\"0.83285714285714\" src=\"https:\/\/backlinko.com\/app\/uploads\/2025\/07\/anthropic-claude-sonnet-4.png\" loading=\"lazy\" \/><\/p><\/figure>\n<p><strong>Developer:<\/strong> Anthropic<\/p>\n<p><strong>Release Date:<\/strong> May 22, 2025<\/p>\n<p><strong>Context Length:<\/strong> 200 thousand tokens<\/p>\n<p><strong>Image Input Support:<\/strong> Available<\/p>\n<p><strong>License:<\/strong> Proprietary<\/p>\n<p><strong>What is it?<\/strong> Claude Sonnet 4 is a mid-sized model developed by Anthropic, designed for high-volume applications.<\/p>\n<p>According to the company, the model strikes a balance between <a title=\"Introducing Claude 4 Anthropic\" href=\"https:\/\/www.anthropic.com\/news\/claude-4\" target=\"_blank\" rel=\"noopener\">performance and efficiency<\/a>. Notably, Sonnet 4 excels in managing specific workflows such as <a title=\"Anthropic&#039;s Claude in Amazon Bedrock\" href=\"https:\/\/aws.amazon.com\/bedrock\/anthropic\/\" target=\"_blank\" rel=\"noopener\">code generation, data analysis, and search<\/a>.<\/p>\n<p>The post <a href=\"https:\/\/backlinko.com\/list-of-llms\" target=\"_blank\" rel=\"noopener\">22 Best Large Language Models (LLMs) in 2025<\/a> appeared first on <a href=\"https:\/\/backlinko.com\/\" target=\"_blank\" rel=\"noopener\">Backlinko<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Large language models, also known as LLMs, are advanced AI systems that were pre-trained on large data sets designed to recognize human language and generate unique content based on user input. In fact, there are over 300 LLMs designed for a range of use cases from text generation to writing code. In this blog post, you\u2019ll find a list of 22 leading LLMs as of July 2025. Best LLMs in July 2025 Here\u2019s a table with 22 key large language models (LLMS) in 2025: LLM Name [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":13613,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"h5ap_radio_sources":[],"cybocfi_hide_featured_image":"","footnotes":""},"categories":[8],"tags":[],"class_list":["post-13612","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-backlinko"],"featured_image_src":"https:\/\/craighordlow.com\/wp-content\/uploads\/2025\/07\/grok-4-homepage-sw3LFY-600x400.png","featured_image_src_square":"https:\/\/craighordlow.com\/wp-content\/uploads\/2025\/07\/grok-4-homepage-sw3LFY-600x600.png","author_info":{"display_name":false,"author_link":"https:\/\/craighordlow.com\/author\/craig\/"},"_links":{"self":[{"href":"https:\/\/craighordlow.com\/index.php\/wp-json\/wp\/v2\/posts\/13612","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/craighordlow.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/craighordlow.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/craighordlow.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/craighordlow.com\/index.php\/wp-json\/wp\/v2\/comments?post=13612"}],"version-history":[{"count":0,"href":"https:\/\/craighordlow.com\/index.php\/wp-json\/wp\/v2\/posts\/13612\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/craighordlow.com\/index.php\/wp-json\/wp\/v2\/media\/13613"}],"wp:attachment":[{"href":"https:\/\/craighordlow.com\/index.php\/wp-json\/wp\/v2\/media?parent=13612"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/craighordlow.com\/index.php\/wp-json\/wp\/v2\/categories?post=13612"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/craighordlow.com\/index.php\/wp-json\/wp\/v2\/tags?post=13612"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}