{"id":752,"date":"2026-05-30T15:31:59","date_gmt":"2026-05-30T15:31:59","guid":{"rendered":"https:\/\/convly.ai\/alibaba-qwen-explained-2026\/"},"modified":"2026-05-31T14:46:22","modified_gmt":"2026-05-31T14:46:22","slug":"alibaba-qwen-explained-2026","status":"publish","type":"post","link":"https:\/\/convly.ai\/ar\/alibaba-qwen-explained-2026\/","title":{"rendered":"\u0639\u0644\u064a \u0628\u0627\u0628\u0627 \u0643\u0648\u064a\u0646 \u0641\u064a \u0639\u0627\u0645 2026: \u0639\u0627\u0626\u0644\u0629 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0627\u0644\u0623\u0643\u062b\u0631 \u0627\u0643\u062a\u0645\u0627\u0644\u0627\u064b \u0641\u064a \u0627\u0644\u0639\u0627\u0644\u0645"},"content":{"rendered":"<p>While DeepSeek grabs headlines, <strong>Alibaba&#8217;s Qwen<\/strong> has quietly built the most complete model family in artificial intelligence \u2014 from tiny on-device models to a flagship that, in May 2026, became the highest-ranked Chinese model ever on independent intelligence benchmarks. If DeepSeek is the disruptor, Qwen is the platform. Here&#8217;s what it is and why it matters.<\/p>\n<div class=\"convly-tldr\">\n<h3>\u0627\u0644\u0648\u062c\u0628\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629<\/h3>\n<ul>\n<li><strong>\u0643\u0648\u064a\u06463.7 \u0643\u062d\u062f \u0623\u0642\u0635\u0649<\/strong> (May 2026) scored 56.6 on the Artificial Analysis Intelligence Index \u2014 top 10 globally, the highest ever for a Chinese model.<\/li>\n<li><strong>The broadest model family in AI:<\/strong> from 0.5B on-device models to 1T-parameter flagships, open and proprietary.<\/li>\n<li><strong>1M-\u0633\u064a\u0627\u0642 \u0627\u0644\u0631\u0645\u0632 \u0627\u0644\u0645\u0645\u064a\u0632<\/strong> on the flagship, with extended thinking on by default.<\/li>\n<li><strong>Open-weight leader:<\/strong> Alibaba rivals Meta as the biggest contributor of permissively-licensed models.<\/li>\n<li><strong>Caveat:<\/strong> the top Max models are proprietary and API-only; data residency and moderation caveats apply to the hosted service.<\/li>\n<\/ul>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-flat ez-toc-counter ez-toc-container-direction\">\n<label for=\"ez-toc-cssicon-toggle-item-6a1c76220ef9e\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">\u062a\u0628\u062f\u064a\u0644<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #000000;color:#000000\" 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: #000000;color:#000000\" 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><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a1c76220ef9e\"  aria-label=\"\u062a\u0628\u062f\u064a\u0644\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/convly.ai\/ar\/alibaba-qwen-explained-2026\/#Who_is_Qwen\" >Who is Qwen<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/ar\/alibaba-qwen-explained-2026\/#The_flagship_Qwen37_Max\" >The flagship: Qwen3.7 Max<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/ar\/alibaba-qwen-explained-2026\/#The_real_story_the_open-weight_family\" >The real story: the open-weight family<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/ar\/alibaba-qwen-explained-2026\/#Where_Qwen_wins\" >Where Qwen wins<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/ar\/alibaba-qwen-explained-2026\/#Where_Qwen_loses_%E2%80%94_the_honest_caveats\" >Where Qwen loses \u2014 the honest caveats<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/ar\/alibaba-qwen-explained-2026\/#Qwen_vs_the_field\" >Qwen vs the field<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/convly.ai\/ar\/alibaba-qwen-explained-2026\/#Pros_and_cons\" >\u0627\u0644\u0625\u064a\u062c\u0627\u0628\u064a\u0627\u062a \u0648\u0627\u0644\u0633\u0644\u0628\u064a\u0627\u062a<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/convly.ai\/ar\/alibaba-qwen-explained-2026\/#How_to_access_Qwen\" >How to access Qwen<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/convly.ai\/ar\/alibaba-qwen-explained-2026\/#FAQ\" >\u0627\u0644\u0623\u0633\u0626\u0644\u0629 \u0627\u0644\u0634\u0627\u0626\u0639\u0629<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/convly.ai\/ar\/alibaba-qwen-explained-2026\/#Bottom_line\" >\u062e\u0644\u0627\u0635\u0629 \u0627\u0644\u0642\u0648\u0644<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Who_is_Qwen\"><\/span>Who is Qwen<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Qwen (\u77ed for &#8220;Tongyi Qianwen,&#8221; \u901a\u4e49\u5343\u95ee) is the large-language-model family from <strong>Alibaba Cloud<\/strong>, China&#8217;s largest cloud provider. Unlike DeepSeek (a focused lab) or Moonshot (a startup), Qwen has the full weight of a trillion-dollar conglomerate behind it: Alibaba Cloud&#8217;s infrastructure, e-commerce data scale, and a mandate to make Qwen the default AI layer across Alibaba&#8217;s empire and the open-source world.<\/p>\n<p>That backing shows up as <strong>breadth<\/strong>. Qwen isn&#8217;t one model \u2014 it&#8217;s a sprawling family covering text, vision, audio, code, math, and embeddings, at sizes from sub-billion-parameter models that run on a phone to trillion-parameter flagships. Alibaba has open-sourced an enormous share of it, making Qwen, alongside Meta&#8217;s Llama, one of the two pillars of the global open-weight ecosystem.<\/p>\n<div class=\"convly-specs\">\n<div><strong>\u0627\u0644\u0634\u0631\u0643\u0629<\/strong><span>Alibaba Cloud (China)<\/span><\/div>\n<div><strong>Flagship<\/strong><span>Qwen3.7 Max (May 19, 2026)<\/span><\/div>\n<div><strong>\u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u0645\u0639\u0645\u0627\u0631\u064a\u0629<\/strong><span>Sparse MoE, ~1T total parameters<\/span><\/div>\n<div><strong>\u0646\u0627\u0641\u0630\u0629 \u0627\u0644\u0633\u064a\u0627\u0642<\/strong><span>1,000,000 tokens (flagship)<\/span><\/div>\n<div><strong>Family range<\/strong><span>0.5B \u2192 1T params; text, vision, audio, code<\/span><\/div>\n<div><strong>\u0627\u0644\u062a\u0631\u062e\u064a\u0635<\/strong><span>Many models Apache 2.0; Max series proprietary<\/span><\/div>\n<div><strong>Flagship pricing<\/strong><span>~$2.50 in \/ $7.50 out per 1M tokens<\/span><\/div>\n<div><strong>\u0627\u0644\u0623\u0641\u0636\u0644 \u0644\u0640<\/strong><span>Teams wanting one family from edge to frontier<\/span><\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"The_flagship_Qwen37_Max\"><\/span>The flagship: Qwen3.7 Max<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Released on May 19, 2026, <strong>\u0643\u0648\u064a\u06463.7 \u0643\u062d\u062f \u0623\u0642\u0635\u0649<\/strong> is Alibaba&#8217;s most capable model and a genuine milestone for Chinese AI:<\/p>\n<ul>\n<li><strong>56.6 on the Artificial Analysis Intelligence Index<\/strong> \u2014 a top-10 global placement and the highest any Chinese model has achieved on that independent benchmark.<\/li>\n<li><strong>92.4 on GPQA Diamond<\/strong> (graduate-level science) and <strong>97.1 on HMMT February 2026<\/strong> (competition math) \u2014 the highest in its comparison group.<\/li>\n<li><strong>1M-\u0633\u064a\u0627\u0642 \u0627\u0644\u0631\u0645\u0632 \u0627\u0644\u0645\u0645\u064a\u0632<\/strong> with extended thinking enabled by default.<\/li>\n<li>Pricing of <strong>$2.50 input \/ $7.50 output<\/strong> per million tokens, with cached input at $0.25.<\/li>\n<\/ul>\n<p>The predecessor, Qwen3.6 Max (April 2026), remains available at lower cost (~$1.04\/$6.24). Both are proprietary and served through Alibaba Cloud Model Studio, OpenRouter, and Together AI.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_real_story_the_open-weight_family\"><\/span>The real story: the open-weight family<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The Max flagship grabs benchmark headlines, but Qwen&#8217;s strategic weapon is its <strong>open-weight catalogue<\/strong>. Alibaba has released dozens of Qwen models under permissive licenses (mostly Apache 2.0), spanning:<\/p>\n<ul>\n<li><strong>Dense and MoE text models<\/strong> from 0.5B to hundreds of billions of parameters.<\/li>\n<li><strong>Qwen-VL<\/strong> vision-language models.<\/li>\n<li><strong>Qwen-Coder<\/strong> models tuned for software engineering.<\/li>\n<li><strong>Qwen-Audio<\/strong> and embedding models.<\/li>\n<\/ul>\n<p>This matters because it makes Qwen the foundation for thousands of downstream products and fine-tunes worldwide. If you&#8217;ve used a Chinese-made open-weight model that wasn&#8217;t DeepSeek, it was very likely a Qwen derivative. For builders who want to own their stack \u2014 fine-tune, self-host, no API dependency \u2014 Qwen offers more size\/capability options than any competitor.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Where_Qwen_wins\"><\/span>Where Qwen wins<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>1. Family breadth \u2014 edge to frontier<\/h3>\n<p>No one else covers the full spectrum this well. You can prototype on the 1T Max API, then deploy a fine-tuned 7B open model on your own hardware, staying inside one model family with consistent behavior and tokenization. That coherence is genuinely valuable for production teams.<\/p>\n<h3>2. Open-weight depth<\/h3>\n<p>Alibaba&#8217;s commitment to open weights rivals Meta&#8217;s. For anyone building on self-hosted models, Qwen&#8217;s catalogue is the deepest menu available \u2014 and the licenses are commercial-friendly.<\/p>\n<h3>3. Multilingual and multimodal strength<\/h3>\n<p>Trained on Alibaba&#8217;s vast multilingual and e-commerce data, Qwen is exceptionally strong across Chinese, English, and dozens of other languages, plus vision and audio. For non-English and multimodal workloads, it&#8217;s often the best open option.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Where_Qwen_loses_%E2%80%94_the_honest_caveats\"><\/span>Where Qwen loses \u2014 the honest caveats<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>1. The best models are closed<\/h3>\n<p>The headline-grabbing Qwen3.7 Max is proprietary and API-only. If your reason for choosing Chinese AI is openness, the top of the Qwen range doesn&#8217;t deliver it \u2014 you drop to the (still excellent) open models a tier down.<\/p>\n<h3>2. Hosted-API data and moderation caveats<\/h3>\n<p>The Model Studio API runs on Alibaba Cloud infrastructure in China, with the same data-residency and content-moderation considerations as other China-hosted services. Self-hosting the open weights avoids this.<\/p>\n<h3>3. Fragmentation<\/h3>\n<p>The family&#8217;s breadth is also a weakness: with so many models and versions, picking the right Qwen for a task takes research. There&#8217;s no single &#8220;just use this one&#8221; answer the way there is with a one-model lab.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Qwen_vs_the_field\"><\/span>Qwen vs the field<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>\u0627\u0644\u0628\u064f\u0639\u062f<\/th>\n<th>\u0643\u0648\u064a\u0646<\/th>\n<th>DeepSeek V4<\/th>\n<th>Llama (Meta)<\/th>\n<th>GPT-5.5.5<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Model family breadth<\/td>\n<td class=\"convly-vs-winner\">Widest (edge\u2192frontier)<\/td>\n<td>Narrow<\/td>\n<td>Wide<\/td>\n<td>Narrow<\/td>\n<\/tr>\n<tr>\n<td>Open-weight depth<\/td>\n<td class=\"convly-vs-winner\">Deepest<\/td>\n<td>Strong (MIT)<\/td>\n<td class=\"convly-vs-winner\">Deep<\/td>\n<td>None<\/td>\n<\/tr>\n<tr>\n<td>Top-end intelligence<\/td>\n<td class=\"convly-vs-winner\">Top-10 global<\/td>\n<td>\u0642\u0648\u064a<\/td>\n<td>Behind frontier<\/td>\n<td class=\"convly-vs-winner\">Frontier<\/td>\n<\/tr>\n<tr>\n<td>Multilingual\/multimodal<\/td>\n<td class=\"convly-vs-winner\">Excellent<\/td>\n<td>\u062c\u064a\u062f<\/td>\n<td>\u062c\u064a\u062f<\/td>\n<td>Excellent<\/td>\n<\/tr>\n<tr>\n<td>Best model open?<\/td>\n<td>No (Max closed)<\/td>\n<td class=\"convly-vs-winner\">\u0646\u0639\u0645<\/td>\n<td class=\"convly-vs-winner\">\u0646\u0639\u0645<\/td>\n<td>\u0644\u0627 \u064a\u0648\u062c\u062f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"Pros_and_cons\"><\/span>\u0627\u0644\u0625\u064a\u062c\u0627\u0628\u064a\u0627\u062a \u0648\u0627\u0644\u0633\u0644\u0628\u064a\u0627\u062a<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"convly-procons\">\n<div class=\"pros\">\n<h4>Qwen pros<\/h4>\n<ul>\n<li>Broadest model family in AI \u2014 edge to frontier<\/li>\n<li>Deepest open-weight catalogue (Apache 2.0)<\/li>\n<li>Flagship cracked the global top 10 on intelligence<\/li>\n<li>Outstanding multilingual and multimodal coverage<\/li>\n<li>Backed by Alibaba Cloud&#8217;s scale and reliability<\/li>\n<\/ul>\n<\/div>\n<div class=\"cons\">\n<h4>Qwen cons<\/h4>\n<ul>\n<li>The best (Max) models are proprietary, API-only<\/li>\n<li>Hosted API carries China data-residency caveats<\/li>\n<li>Family fragmentation \u2014 hard to pick the right model<\/li>\n<li>Content moderation on the hosted service<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"How_to_access_Qwen\"><\/span>How to access Qwen<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>Flagship (Max):<\/strong> Alibaba Cloud Model Studio, OpenRouter, Together AI \u2014 API only.<\/li>\n<li><strong>Open models:<\/strong> download Qwen3, Qwen-Coder, Qwen-VL, etc. from Hugging Face \/ ModelScope and self-host or fine-tune.<\/li>\n<li><strong>Chat:<\/strong> the Qwen Chat web app for casual use.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"FAQ\"><\/span>\u0627\u0644\u0623\u0633\u0626\u0644\u0629 \u0627\u0644\u0634\u0627\u0626\u0639\u0629<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>Is Qwen open source?<\/h3>\n<p>Partly. Most of the Qwen family \u2014 including very capable models \u2014 is released under Apache 2.0 open weights. The top-tier Qwen-Max flagship models are proprietary and API-only. So &#8220;Qwen is open source&#8221; is true for the family but not for the absolute best model.<\/p>\n<h3>Is Qwen better than DeepSeek?<\/h3>\n<p>Different strengths. DeepSeek wins on price-performance and ships its very best model as open weights. Qwen wins on family breadth, multimodal\/multilingual coverage, and top-end benchmark intelligence (Qwen3.7 Max ranks higher globally). For self-hosting flexibility, Qwen&#8217;s catalogue is deeper; for one cheap excellent open model, DeepSeek is simpler.<\/p>\n<h3>What does &#8220;Qwen&#8221; mean?<\/h3>\n<p>It&#8217;s short for Tongyi Qianwen (\u901a\u4e49\u5343\u95ee), roughly &#8220;truth from a thousand questions&#8221; \u2014 Alibaba&#8217;s brand for its LLM family.<\/p>\n<h3>Can I use Qwen commercially?<\/h3>\n<p>Yes \u2014 the open models are mostly Apache 2.0, which permits commercial use. The Max API has standard commercial terms. Always check the specific model&#8217;s license card on Hugging Face.<\/p>\n<h3>Does Qwen run on a phone?<\/h3>\n<p>The smallest Qwen models (sub-billion parameters) are designed for on-device use, including phones and edge hardware. That&#8217;s part of what makes the family unusually complete.<\/p>\n<h3>Is Qwen safe to use?<\/h3>\n<p>For non-sensitive work, yes. The open-weight Qwen models can be self-hosted, keeping your data entirely under your control \u2014 the safest option. The hosted Qwen API runs on Alibaba Cloud in China, with the usual data-residency and content-moderation considerations, so for sensitive or regulated data, self-host the open weights or use a Western provider instead.<\/p>\n<h3>Is Qwen free to use?<\/h3>\n<p>Mostly, yes \u2014 the large open-weight Qwen models are free to download and run under permissive (mostly Apache 2.0) licenses; you pay only for your own compute. The top-tier Qwen-Max flagship is a paid API. There&#8217;s also a free Qwen Chat web app for casual use.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>\u062e\u0644\u0627\u0635\u0629 \u0627\u0644\u0642\u0648\u0644<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Qwen is the most underrated force in Chinese AI. It lacks DeepSeek&#8217;s disruptive pricing narrative, but it offers something arguably more valuable: the broadest, deepest, most production-ready model family in existence, anchored by a flagship that now competes with the global frontier and a long tail of open models that power thousands of products worldwide.<\/p>\n<p>If you want one AI vendor that can take you from a phone-sized model to a top-10 frontier flagship \u2014 open where it counts, multimodal, multilingual, and backed by Alibaba Cloud&#8217;s reliability \u2014 Qwen is the most complete answer available in 2026. Just know that the very best Qwen is closed, and the hosted API carries the standard China-jurisdiction caveats. For most of what most teams build, the open Qwen models are more than enough.<\/p>","protected":false},"excerpt":{"rendered":"<p>Alibaba&#8217;s Qwen is the quiet giant of Chinese AI \u2014 the broadest model family in existence, an open-weight ecosystem rivaling Meta&#8217;s, and a flagship that just cracked the global top 10.<\/p>","protected":false},"author":1,"featured_media":757,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[604],"tags":[607,609,606,605,608],"class_list":["post-752","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-chinese-ai","tag-alibaba-ai","tag-chinese-ai","tag-qwen-3","tag-qwen-ai","tag-qwen3-max"],"_links":{"self":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/752","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/comments?post=752"}],"version-history":[{"count":1,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/752\/revisions"}],"predecessor-version":[{"id":777,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/posts\/752\/revisions\/777"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media\/757"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media?parent=752"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/categories?post=752"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/tags?post=752"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}