{"id":43160,"date":"2026-07-27T23:56:00","date_gmt":"2026-07-27T15:56:00","guid":{"rendered":"https:\/\/www.granitefirm.com\/blog\/us\/?p=43160"},"modified":"2026-08-12T11:22:33","modified_gmt":"2026-08-12T03:22:33","slug":"open-weights-models","status":"publish","type":"post","link":"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/","title":{"rendered":"Pros and cons of Open Weights, Open, and Closed AI models, and top vendors"},"content":{"rendered":"\n<p>Suggest you read &#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/08\/11\/chinese-ai-models-cost\/\">How cheap are Chinese AI models cost?<\/a>&#8221; and &#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2025\/02\/12\/chinese-ai-companies\/\">Chinese AI progress and top companies<\/a>&#8221; before move on this post.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_87_1 counter-hierarchy ez-toc-counter ez-toc-custom 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: #ffffff;color:#ffffff\" 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: #ffffff;color:#ffffff\" 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:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Definition_of_Open_Weights_Open_and_Closed\" >Definition of Open Weights, Open, and Closed<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Top_AI_Companies_Support_Matrix\" >Top AI Companies Support Matrix<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Industry_Trends\" >Industry Trends<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Advantages_of_Open_Weights\" >Advantages of Open Weights<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Technical_Advantages\" >Technical Advantages<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Three_heads_are_better_than_one\" >Three heads are better than one<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Reduced_Costs_Making_It_Easier_to_Use\" >Reduced Costs, Making It Easier to Use<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Promoting_Competition\" >Promoting Competition<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Opponents_Arguments\" >Opponents&#8217; Arguments<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#The_US_is_inclined_to_ban_open_weighted_models\" >The US is inclined to ban open weighted models<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Industry_push_back_US_give_up_to_ban\" >Industry push back, US give up to ban<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Protecting_Vested_Interests\" >Protecting Vested Interests<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#US_wants_to_keep_its_AI_hegemony\" >US wants to keep its AI hegemony<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#The_US_Fears_Loss_of_Control\" >The US Fears Loss of Control<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#China_Will_Soon_Overtake_US_with_Open_Weighted\" >China Will Soon Overtake US with Open Weighted<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/#Related_articles\" >Related articles<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Definition_of_Open_Weights_Open_and_Closed\"><\/span><strong>Definition<\/strong> of Open Weights, Open, and Closed<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Before reviewing the support matrix, it helps to distinguish how these three deployment models differ in practice:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Closed System (Proprietary):<\/strong> The model weights, code, and training data are private. Access is provided strictly via hosted APIs or platforms (e.g., ChatGPT, Claude API).<\/li>\n\n\n\n<li><strong>Open Weights:<\/strong> The trained parameters (weights) are released for download so you can run, host, or fine-tune the model locally. However, complete training datasets, data filtering pipelines, or full training code are generally withheld, and usage may be governed by custom community\/commercial licenses.<\/li>\n\n\n\n<li><strong>True Open Source:<\/strong> Complete transparency \u2014 model weights, source code, and training recipes\/data formats are fully released under OSI-approved permissive open-source licenses (e.g., Apache 2.0, MIT).<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Top_AI_Companies_Support_Matrix\"><\/span>Top AI Companies Support Matrix<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td><strong>Company<\/strong><\/td><td><strong>Closed System<\/strong><\/td><td><strong>Open Weights<\/strong><\/td><td><strong>Open Source (OSI Approved)<\/strong><\/td><td><strong>Notable Models \/ Key Notes<\/strong><\/td><\/tr><\/thead><tbody><tr><td><strong>Meta (Muse Spark, Llama )<\/strong><\/td><td><strong>No<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Partial<\/strong><\/td><td>Flagship <strong>Llama<\/strong> series released as open weights under Meta&#8217;s Community License (not strictly OSI due to commercial usage caps).<\/td><\/tr><tr><td><strong>DeepSeek<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td>Offers hosted APIs (<strong>DeepSeek-V3\/R1<\/strong>), but releases weights, architecture, and code under permissive <strong>MIT licenses<\/strong>.<\/td><\/tr><tr><td><strong>Zhipu AI (GLM)<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td>Operates hosted platforms while releasing open-weight models (<strong>GLM-4 \/ GLM-5 series<\/strong>) under permissive <strong>MIT licenses<\/strong>.<\/td><\/tr><tr><td><strong>MiniMax<\/strong> <\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td>Operates commercial APIs while publishing open-weight architecture releases (<strong>MiniMax-M1 \/ M3 series<\/strong>) under permissive open licenses.<\/td><\/tr><tr><td><strong>ByteDance(TikTok)<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td>The overall strategy is to primarily use closed APIs, supplemented by some open-source APIs.<\/td><\/tr><tr><td><strong>Mistral AI<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td>Hybrid strategy: proprietary APIs (<strong>Mistral Medium<\/strong>) alongside permissive <strong>Apache 2.0 \/ MIT<\/strong> models (<strong>Mistral 7B, Mixtral<\/strong>).<\/td><\/tr><tr><td><strong>Moonshot AI<\/strong> <strong>(Kimi)<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td>Provides API platforms (<strong>Kimi<\/strong>) while releasing open-weight architectures (<strong>Kimi K-series<\/strong>) under permissive open licenses.<\/td><\/tr><tr><td><strong>SpaceX.AI (Grok)<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Partial<\/strong><\/td><td>Hosted frontier models (<strong>Grok-3\/4<\/strong>), but released open weights for <strong>Grok-1<\/strong> and open-sourced developer tools like <strong>Grok Build<\/strong>.<\/td><\/tr><tr><td><strong>OpenAI<\/strong> (<strong>ChatGPT)<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>No<\/strong><\/td><td>Primary focus on closed systems (<strong>GPT-4o, o1<\/strong>), with selective open-weight releases (<strong>GPT-OSS-120B\/20B<\/strong>, Whisper).<\/td><\/tr><tr><td><strong>Anthropic (Claude Fable,Mythos,Opus,Sonnet)<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>No<\/strong><\/td><td><strong>No<\/strong><\/td><td>Strictly closed-system API offerings (<strong>Claude 3.5 \/ Opus<\/strong>). Rejects open-weights releases due to safety concerns.<\/td><\/tr><tr><td><strong>Google<\/strong> <strong>(Gemini)<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Partial<\/strong><\/td><td>Closed frontier models (<strong>Gemini<\/strong>) alongside an open-weight model family (<strong>Gemma<\/strong>) under custom terms.<\/td><\/tr><tr><td><strong>Alibaba (Qwen)<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td><strong>Yes<\/strong><\/td><td>Offers API services while releasing the <strong>Qwen<\/strong> series as open weights\/open source under Apache 2.0.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Industry_Trends\"><\/span><strong>Industry Trends<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Hybrid Approach:<\/strong> Most companies maintain closed, commercial API platforms for their absolute flagship models while offering smaller or specialized open-weight variants for developer ecosystem growth.<\/li>\n\n\n\n<li><strong>Strictly Closed:<\/strong> <strong>Anthropic<\/strong> remains one of the few top-tier frontier developers maintaining an exclusively closed system model.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Advantages_of_Open_Weights\"><\/span>Advantages of Open Weights<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Technical_Advantages\"><\/span>Technical Advantages<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Unlike closed AI systems, open weights models allow developers and enterprises to download pre-trained parameters (called weights) and run them on their infrastructure. Essentially, this concept is similar to the open-source software movement that revolutionized computing decades ago.<\/p>\n\n\n\n<p>Unlike fully open-source AI, open weights models typically provide pre-trained model weights but don&#8217;t necessarily release the underlying training data or source code.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Three_heads_are_better_than_one\"><\/span>Three heads are better than one<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Cybersecurity defenders need advanced AI to combat increasingly sophisticated attacks. Open weights models allow more researchers to identify vulnerabilities, improve security measures, and independently test systems, rather than relying solely on the original developers.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Reduced_Costs_Making_It_Easier_to_Use\"><\/span>Reduced Costs, Making It Easier to Use<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Training advanced AI models can cost billions of dollars. Open weights models address this challenge by allowing developers to build on existing AI models instead of creating them from scratch. This lowers the barrier to entry for smaller companies in the AI \u200b\u200bfield.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Promoting_Competition\"><\/span>Promoting Competition<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Open weighted models not only encourage competition among AI developers, but also among cloud service providers, chip manufacturers, software companies, and AI application developers.<\/p>\n\n\n\n<p>&#8220;This competition stimulates innovation, reduces costs, and broadly extends the benefits of AI to our economy,&#8221; because open-source AI lowers the cost of building AI products.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Opponents_Arguments\"><\/span>Opponents&#8217; Arguments<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_US_is_inclined_to_ban_open_weighted_models\"><\/span>The US is inclined to ban open weighted models<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>OpenAI and Anthropic have recently been actively lobbying the US government, warning of the potential risks posed by Chinese open-source AI models. According to five sources familiar with the matter, they specifically mentioned the potential threat posed by Chinese open-source AI models to the US. US Treasury Secretary Scott Bessent and President Trump&#8217;s science and technology advisor, Michael Kratsios, have also participated in discussions about protecting US AI technology.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Industry_push_back_US_give_up_to_ban\"><\/span>Industry push back, US give up to ban<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>On August 6, 2026, Bloomberg, citing sources familiar with the matter, reported that the <a href=\"https:\/\/www.facebook.com\/washingtonpost\/posts\/the-white-house-told-top-tech-companies-that-it-would-exempt-certain-ai-systems-\/1418616333463571\/\" target=\"_blank\" rel=\"noopener\">White House had informed major US artificial intelligence (AI) companies that the new AI security framework being developed by the Trump administration would not subject &#8220;open weights&#8221; models to government security testing, and that related models developed by mainland Chinese companies would also be applicable<\/a>. This decision was communicated to industry representatives at a closed-door meeting held by the White House on Thursday.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Protecting_Vested_Interests\"><\/span>Protecting Vested Interests<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Creators of closed AI models like OpenAI, Anthropic, and Alphabet face clear economic incentives to maintain exclusive control over their top technologies.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"US_wants_to_keep_its_AI_hegemony\"><\/span>US wants to keep its AI hegemony<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_US_Fears_Loss_of_Control\"><\/span>The US Fears Loss of Control<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Former Google CEO Eric Schmidt admitted that China&#8217;s open-source AI is no longer under US control, and the gap has narrowed from the previously estimated one to two years to only about six months. He acknowledged that US control over Chinese chip hardware is &#8220;beginning to fail,&#8221; and the gap between Chinese AI models and top US technology has narrowed from the previously estimated one to two years to only about six months, which is almost negligible in the development of AI. What worries him even more is that China&#8217;s full embrace of the open-source path in AI means it is &#8220;no longer under US control.&#8221;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"China_Will_Soon_Overtake_US_with_Open_Weighted\"><\/span>China Will Soon Overtake US with Open Weighted <span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Cl\u00e9ment Delangue, co-founder and CEO of Hugging Face, the world&#8217;s largest open AI platform, said on August 3, 2026, that <a href=\"https:\/\/www.cnbc.com\/2026\/08\/03\/hugging-face-china-ai-race-open-models.html\" target=\"_blank\" rel=\"noopener\">China has taken the lead in the AI \u200b\u200brace, especially in the field of &#8220;open weighted&#8221; models<\/a>, and at the current pace, it may overtake the US in advanced models by the end of this year or next year.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"123\" height=\"80\" src=\"https:\/\/www.granitefirm.com\/blog\/us\/wp-content\/uploads\/sites\/2\/2026\/07\/Open_Weights-Custom.jpg\" alt=\"Open Weight\" class=\"wp-image-43173\"\/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Related_articles\"><\/span>Related articles<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/27\/open-weights-models\/\">Pros and cons of Open Weights, Open, and Closed AI models, and top vendors&#8221;<\/a><\/li>\n\n\n\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/08\/11\/chinese-ai-models-cost\/\">How cheap are Chinese AI models cost?<\/a>&#8220;<\/li>\n\n\n\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2023\/04\/03\/openai-and-chatgpt\/\">OpenAI, the Generative Artificial Intelligence rising star and ChatGPT<\/a>&#8220;<\/li>\n\n\n\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2026\/07\/20\/king-of-ai-alphabet-google\/\">The king of AI Alphabet (Google) <\/a>&#8220;<\/li>\n\n\n\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2025\/10\/22\/investing-in-alphabet\/\">The pros and cons of investing in Alphabet amid AI evolution<\/a>&#8220;<\/li>\n\n\n\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2025\/02\/08\/deepseek-rout\/\">DeepSeek routed the global AI and stock<\/a>&#8220;<\/li>\n\n\n\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2025\/02\/12\/chinese-ai-companies\/\">Chinese AI progress and top companies<\/a>&#8220;<\/li>\n\n\n\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2025\/05\/31\/chinese-tech-singularity\/\">Chinese tech singularity or just a flash in the pan? From DeepSeek, Huawei, TikTok, to Game Science<\/a>&#8220;<\/li>\n\n\n\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2024\/06\/14\/small-language-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">The Importance of Small Language Models (SLM) in AI, how is Apple AI different from others?<\/a>&#8220;<\/li>\n\n\n\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2025\/08\/30\/china-ditch-us-ai-chip\/\">China ditch US AI chips and decides to go its own way<\/a>&#8220;<\/li>\n\n\n\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2025\/08\/24\/ai-inference-chips\/\">AI inference chips vs. training chips<\/a>&#8220;<\/li>\n\n\n\n<li>&#8220;<a href=\"https:\/\/www.granitefirm.com\/blog\/us\/2024\/12\/22\/comparison-gpu-and-asic\/\">Comparison of AI chips GPU and ASIC<\/a>&#8220;<\/li>\n<\/ul>\n\n\n\n<p><em><strong>Disclaimer<\/strong><\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>The content of this site is the author\u2019s personal opinions and is for reference only. I am not responsible for the correctness, opinions, and immediacy of the content and information of the article. Readers must make their own judgments.<\/em><\/li>\n\n\n\n<li><em>I shall not be liable for any damages or other legal liabilities for the direct or indirect losses caused by the readers&#8217; direct or indirect reliance on and reference to the information on this site, or all the responsibilities arising therefrom, as a result of any investment behavior.<\/em><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>China&#8217;s open weighted model is not only 60-90% cheaper, but its functionality is also very close to that of top-tier American models. Western AI companies have distilled Chinese models including Mistral distilling DeepSeek; Meta Muse Spark used Qwen from Alibaba, Thinking Machines Inkling uses DeepSeek-V3; and Cursor&#8217;s Composer 2 was built directly on Moonshot.<\/p>\n","protected":false},"author":1,"featured_media":43173,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[104],"tags":[1300,158,1635,97,95,1634,721,1438,1636,1433,971,1625,1436],"class_list":["post-43160","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-anthropic","tag-baba","tag-deekseek","tag-goog","tag-googl","tag-grok","tag-meta","tag-minimax","tag-mistral","tag-moonshot","tag-openai","tag-spcx","tag-zhipu"],"_links":{"self":[{"href":"https:\/\/www.granitefirm.com\/blog\/us\/wp-json\/wp\/v2\/posts\/43160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.granitefirm.com\/blog\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.granitefirm.com\/blog\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.granitefirm.com\/blog\/us\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.granitefirm.com\/blog\/us\/wp-json\/wp\/v2\/comments?post=43160"}],"version-history":[{"count":53,"href":"https:\/\/www.granitefirm.com\/blog\/us\/wp-json\/wp\/v2\/posts\/43160\/revisions"}],"predecessor-version":[{"id":43382,"href":"https:\/\/www.granitefirm.com\/blog\/us\/wp-json\/wp\/v2\/posts\/43160\/revisions\/43382"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.granitefirm.com\/blog\/us\/wp-json\/wp\/v2\/media\/43173"}],"wp:attachment":[{"href":"https:\/\/www.granitefirm.com\/blog\/us\/wp-json\/wp\/v2\/media?parent=43160"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.granitefirm.com\/blog\/us\/wp-json\/wp\/v2\/categories?post=43160"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.granitefirm.com\/blog\/us\/wp-json\/wp\/v2\/tags?post=43160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}