
{"id":133180,"date":"2026-01-21T11:15:59","date_gmt":"2026-01-21T03:15:59","guid":{"rendered":"https:\/\/vertu.com\/?p=133180"},"modified":"2026-01-22T17:11:00","modified_gmt":"2026-01-22T09:11:00","slug":"gemini-3-vs-grok-4-1-the-definitive-ai-comparison-of-2025","status":"publish","type":"post","link":"https:\/\/legacy.vertu.com\/ar\/%d9%86%d9%85%d8%b7-%d8%a7%d9%84%d8%ad%d9%8a%d8%a7%d8%a9\/gemini-3-vs-grok-4-1-the-definitive-ai-comparison-of-2025\/","title":{"rendered":"Gemini 3 vs. Grok 4.1: The Definitive AI Comparison of 2025"},"content":{"rendered":"<h1 data-path-to-node=\"0\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-133686\" src=\"https:\/\/vertu-website-oss.vertu.com\/2026\/01\/Gemini-3-vs.-Grok-4.1.png\" alt=\"\" width=\"574\" height=\"394\" srcset=\"https:\/\/vertu-website-oss.vertu.com\/2026\/01\/Gemini-3-vs.-Grok-4.1.png 574w, https:\/\/vertu-website-oss.vertu.com\/2026\/01\/Gemini-3-vs.-Grok-4.1-300x206.png 300w, https:\/\/vertu-website-oss.vertu.com\/2026\/01\/Gemini-3-vs.-Grok-4.1-18x12.png 18w, https:\/\/vertu-website-oss.vertu.com\/2026\/01\/Gemini-3-vs.-Grok-4.1-64x44.png 64w\" sizes=\"(max-width: 574px) 100vw, 574px\" \/><\/h1>\n<p data-path-to-node=\"1\"><b data-path-to-node=\"1\" data-index-in-node=\"0\">The Clear Answer:<\/b> Choosing between Gemini 3 and Grok 4.1 depends entirely on your specific needs. Gemini 3 (Google) is the superior choice for high-end visual production, cinematic image generation, and scientific or technical accuracy. Conversely, Grok 4.1 (xAI) leads in creative storytelling, emotional intelligence, and capturing human-centric nuances in text. While Gemini 3 holds a razor-thin lead in technical benchmarks (1501 vs. 1483 Elo), both models represent the pinnacle of 2025's AI innovation.<\/p>\n<hr data-path-to-node=\"2\" \/>\n<h3 data-path-to-node=\"3\">The Evolution of the AI Landscape in 2025<\/h3>\n<p data-path-to-node=\"4\">The year 2025 has been a watershed moment for artificial intelligence, marked by the simultaneous release of Google's Gemini 3 and xAI\u2019s Grok 4.1. This &#8220;battle of the titans&#8221; has moved beyond simple chatbots toward highly capable agents that can reason, see, and create with unprecedented precision. As both Google and xAI claim the title of &#8220;the best AI yet,&#8221; users are left to navigate a complex landscape of benchmarks, multimodal features, and ecosystem integrations. This article breaks down every aspect of this rivalry to help you decide which model belongs in your workflow.<\/p>\n<h3 data-path-to-node=\"5\">Gemini 3: The Multimodal Powerhouse from Mountain View<\/h3>\n<p data-path-to-node=\"6\">Google\u2019s Gemini 3 arrives as the most sophisticated model ever produced by the tech giant. It is designed with a deep focus on multimodality, meaning it doesn't just process text but &#8220;understands&#8221; video, audio, and images at a native level. With its integration into Google Workspace, Chrome, and Android, Gemini 3 is positioned as a productivity-first model. It excels at long-horizon planning and complex reasoning, making it an essential tool for professionals who need to manage massive amounts of data across different formats.<\/p>\n<ul data-path-to-node=\"7\">\n<li>\n<p data-path-to-node=\"7,0,0\"><b data-path-to-node=\"7,0,0\" data-index-in-node=\"0\">Ecosystem Integration:<\/b> Seamlessly works within Docs, Gmail, and Sheets.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"7,1,0\"><b data-path-to-node=\"7,1,0\" data-index-in-node=\"0\">Scientific Prowess:<\/b> Achieves industry-leading scores in scientific reasoning (GPQA).<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"7,2,0\"><b data-path-to-node=\"7,2,0\" data-index-in-node=\"0\">Agentic Capabilities:<\/b> High performance in &#8220;Vending-Bench 2,&#8221; indicating strong skills in long-term task planning.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"7,3,0\"><b data-path-to-node=\"7,3,0\" data-index-in-node=\"0\">Visual Fidelity:<\/b> Capable of generating cinematic-quality images suitable for professional marketing and design.<\/p>\n<\/li>\n<\/ul>\n<h3 data-path-to-node=\"8\">Grok 4.1: The Emotionally Intelligent Maverick<\/h3>\n<p data-path-to-node=\"9\">xAI has taken a different approach with Grok 4.1, emphasizing speed, factual reliability, and a unique &#8220;Thinking Mode.&#8221; Unlike its predecessors, Grok 4.1 has significantly reduced its hallucination rate, making it a serious contender for research and real-time news analysis through its integration with the X (formerly Twitter) platform. Its standout feature is its high &#8220;EQ-Bench&#8221; score, which reflects a superior ability to understand and replicate human emotions, wit, and creative flair.<\/p>\n<ul data-path-to-node=\"10\">\n<li>\n<p data-path-to-node=\"10,0,0\"><b data-path-to-node=\"10,0,0\" data-index-in-node=\"0\">Thinking Mode:<\/b> A specialized high-reasoning variant designed for complex problem-solving.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"10,1,0\"><b data-path-to-node=\"10,1,0\" data-index-in-node=\"0\">Reduced Hallucinations:<\/b> A major drop in errors, with hallucination rates falling from over 12% to roughly 4.22%.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"10,2,0\"><b data-path-to-node=\"10,2,0\" data-index-in-node=\"0\">Real-Time Data:<\/b> Leveraging the X platform for up-to-the-second information.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"10,3,0\"><b data-path-to-node=\"10,3,0\" data-index-in-node=\"0\">Creative Writing:<\/b> Currently holds some of the highest scores in Creative Writing benchmarks (1721.9 Elo).<\/p>\n<\/li>\n<\/ul>\n<h3 data-path-to-node=\"11\">Technical Benchmark Showdown<\/h3>\n<p data-path-to-node=\"12\">When comparing AI models, benchmarks provide a standardized way to measure &#8220;intelligence.&#8221; The LMArena Elo score is the most cited metric in the industry, reflecting how models perform in blind tests against one another. While Gemini 3 Pro holds the current lead, the gap is incredibly small, suggesting that for most daily tasks, the difference in &#8220;raw&#8221; intelligence may be imperceptible to the average user.<\/p>\n<ul data-path-to-node=\"13\">\n<li>\n<p data-path-to-node=\"13,0,0\"><b data-path-to-node=\"13,0,0\" data-index-in-node=\"0\">LMArena Reasoning Elo:<\/b><\/p>\n<ul data-path-to-node=\"13,0,1\">\n<li>\n<p data-path-to-node=\"13,0,1,0,0\"><b data-path-to-node=\"13,0,1,0,0\" data-index-in-node=\"0\">Gemini 3 Pro:<\/b> 1501 Elo (The current leaderboard champion).<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"13,0,1,1,0\"><b data-path-to-node=\"13,0,1,1,0\" data-index-in-node=\"0\">Grok 4.1 (Thinking):<\/b> 1483 Elo (Ranked #1 prior to Gemini 3\u2019s launch).<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"13,0,1,2,0\"><b data-path-to-node=\"13,0,1,2,0\" data-index-in-node=\"0\">Grok 4.1 (Standard):<\/b> 1465 Elo.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p data-path-to-node=\"13,1,0\"><b data-path-to-node=\"13,1,0\" data-index-in-node=\"0\">Factual Reliability:<\/b><\/p>\n<ul data-path-to-node=\"13,1,1\">\n<li>\n<p data-path-to-node=\"13,1,1,0,0\"><b data-path-to-node=\"13,1,1,0,0\" data-index-in-node=\"0\">Gemini 3 Pro (SimpleQA):<\/b> 72.1% (Indicates high accuracy on factual queries).<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"13,1,1,1,0\"><b data-path-to-node=\"13,1,1,1,0\" data-index-in-node=\"0\">Grok 4.1 (FactScore):<\/b> 2.97% error rate (A significant improvement in reliability).<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li>\n<p data-path-to-node=\"13,2,0\"><b data-path-to-node=\"13,2,0\" data-index-in-node=\"0\">Scientific and Math Mastery:<\/b><\/p>\n<ul data-path-to-node=\"13,2,1\">\n<li>\n<p data-path-to-node=\"13,2,1,0,0\"><b data-path-to-node=\"13,2,1,0,0\" data-index-in-node=\"0\">GPQA Diamond (Science):<\/b> Gemini 3 leads with 91.9%.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"13,2,1,1,0\"><b data-path-to-node=\"13,2,1,1,0\" data-index-in-node=\"0\">Humanity\u2019s Last Exam:<\/b> Gemini 3 Deep Think reaches 41.0%, showing elite-level academic performance.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 data-path-to-node=\"14\">Text Generation: Creativity vs. Professionalism<\/h3>\n<p data-path-to-node=\"15\">In direct head-to-head tests for text generation, both models show exceptional skill, but their &#8220;personalities&#8221; differ. In creative writing tasks, such as micro-stories or narrative scripts, Grok 4.1 often wins by a narrow margin because it captures visceral human emotions more effectively. For example, when prompted about an AI outage, Grok's imagery\u2014like &#8220;hover cars plummeting into the sea&#8221;\u2014was noted for its dramatic impact. Gemini 3, while equally competent, tends to produce slightly more grounded and polished narratives that are well-suited for professional storytelling.<\/p>\n<ul data-path-to-node=\"16\">\n<li>\n<p data-path-to-node=\"16,0,0\"><b data-path-to-node=\"16,0,0\" data-index-in-node=\"0\">Grok 4.1 Advantage:<\/b> Better at wit, sarcasm, and emotional &#8220;grip.&#8221;<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"16,1,0\"><b data-path-to-node=\"16,1,0\" data-index-in-node=\"0\">Gemini 3 Advantage:<\/b> Better at structured, clear, and highly versatile professional writing.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"16,2,0\"><b data-path-to-node=\"16,2,0\" data-index-in-node=\"0\">Constraint Following:<\/b> Both models are excellent at following complex rules (word counts, metaphors, and specific phrasing).<\/p>\n<\/li>\n<\/ul>\n<h3 data-path-to-node=\"17\">Image Generation: High Production vs. Emotional Nuance<\/h3>\n<p data-path-to-node=\"18\">The battle in image generation is one of the most visible differences between the two. Gemini 3 is the clear winner for users who need &#8220;Hollywood poster&#8221; quality. Its outputs are characterized by high resolution, intricate detailing, and cinematic lighting. Grok 4.1, while producing images that are emotionally resonant and realistic, often lacks the sheer technical &#8220;punch&#8221; and pixel-density found in Google\u2019s flagship model.<\/p>\n<ul data-path-to-node=\"19\">\n<li>\n<p data-path-to-node=\"19,0,0\"><b data-path-to-node=\"19,0,0\" data-index-in-node=\"0\">Gemini 3 Visuals:<\/b> High-production value, crisp details, and professional-grade resolution.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"19,1,0\"><b data-path-to-node=\"19,1,0\" data-index-in-node=\"0\">Grok 4.1 Visuals:<\/b> More focused on the &#8220;feel&#8221; of the scene; better at depicting raw human emotion but lower in overall image quality.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"19,2,0\"><b data-path-to-node=\"19,2,0\" data-index-in-node=\"0\">Use Cases:<\/b> Use Gemini for marketing assets; use Grok for quick, expressive social media content.<\/p>\n<\/li>\n<\/ul>\n<h3 data-path-to-node=\"20\">Math and Logical Reasoning<\/h3>\n<p data-path-to-node=\"21\">For students, engineers, and data scientists, both Gemini 3 and Grok 4.1 are nearly flawless in solving multi-step mathematical problems. Whether calculating pipe flow rates or solving complex calculus, both models provide step-by-step logic that is easy to follow. In this category, the competition results in a tie. Both models have reached a level where they can act as reliable tutors or logical auditors for technical work.<\/p>\n<ul data-path-to-node=\"22\">\n<li>\n<p data-path-to-node=\"22,0,0\"><b data-path-to-node=\"22,0,0\" data-index-in-node=\"0\">Step-by-Step Logic:<\/b> Both models excel at explaining the &#8220;why&#8221; behind an answer.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"22,1,0\"><b data-path-to-node=\"22,1,0\" data-index-in-node=\"0\">Speed:<\/b> Both provide near-instant results for complex word problems.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"22,2,0\"><b data-path-to-node=\"22,2,0\" data-index-in-node=\"0\">Accuracy:<\/b> 10\/10 performance for standard high-level math and logic prompts.<\/p>\n<\/li>\n<\/ul>\n<h3 data-path-to-node=\"23\">Coding and Web Development<\/h3>\n<p data-path-to-node=\"24\">In the realm of coding, Gemini 3 edges ahead with a &#8220;razor-thin&#8221; margin. While both models can generate complete, functional code for websites and applications, Gemini 3 tends to produce designs with better visual spacing, cleaner CSS, and a more modern &#8220;look and feel.&#8221; Grok 4.1 is equally capable of writing functional code and often populates the resulting pages with more interesting or relevant content, but Gemini\u2019s attention to UI\/UX design gives it the win for developers.<\/p>\n<ul data-path-to-node=\"25\">\n<li>\n<p data-path-to-node=\"25,0,0\"><b data-path-to-node=\"25,0,0\" data-index-in-node=\"0\">Gemini 3 Coding:<\/b> Superior visual design, better spacing, and &#8220;cleaner&#8221; feel for front-end tasks.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"25,1,0\"><b data-path-to-node=\"25,1,0\" data-index-in-node=\"0\">Grok 4.1 Coding:<\/b> Excellent functional logic and strong content generation within the code.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"25,2,0\"><b data-path-to-node=\"25,2,0\" data-index-in-node=\"0\">Efficiency:<\/b> Both models can generate a full single-page application in seconds without external libraries.<\/p>\n<\/li>\n<\/ul>\n<h3 data-path-to-node=\"26\">Agentic Capabilities: The Future of AI<\/h3>\n<p data-path-to-node=\"27\">One of the most exciting developments in 2025 is the rise of &#8220;Agentic AI.&#8221; This refers to an AI's ability to not just answer questions, but to take actions. Gemini 3 leads in this area with its &#8220;Vending-Bench&#8221; scores, showing it can handle &#8220;long-horizon planning.&#8221; This means Gemini 3 can look at a complex project\u2014like planning a multi-city business trip or managing a software deployment\u2014and execute the steps across different apps.<\/p>\n<ul data-path-to-node=\"28\">\n<li>\n<p data-path-to-node=\"28,0,0\"><b data-path-to-node=\"28,0,0\" data-index-in-node=\"0\">Long-Horizon Planning:<\/b> Gemini 3 can maintain focus on a goal over many steps.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"28,1,0\"><b data-path-to-node=\"28,1,0\" data-index-in-node=\"0\">Tool Use:<\/b> Both models are becoming better at using external tools like terminal consoles and web browsers.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"28,2,0\"><b data-path-to-node=\"28,2,0\" data-index-in-node=\"0\">Productivity:<\/b> These agentic features turn the AI from a &#8220;chat assistant&#8221; into a &#8220;digital employee.&#8221;<\/p>\n<\/li>\n<\/ul>\n<h3 data-path-to-node=\"29\">Comparison Summary Table<\/h3>\n<table data-path-to-node=\"30\">\n<thead>\n<tr>\n<td><strong>\u0627\u0644\u0641\u0626\u0629<\/strong><\/td>\n<td><strong>Gemini 3 Observation<\/strong><\/td>\n<td><strong>Grok 4.1 Observation<\/strong><\/td>\n<td><strong>Winner<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><span data-path-to-node=\"30,1,0,0\"><b data-path-to-node=\"30,1,0,0\" data-index-in-node=\"0\">Reasoning (Elo)<\/b><\/span><\/td>\n<td><span data-path-to-node=\"30,1,1,0\">1501 (Current Leader)<\/span><\/td>\n<td><span data-path-to-node=\"30,1,2,0\">1483 (High Reasoning)<\/span><\/td>\n<td><span data-path-to-node=\"30,1,3,0\">Gemini 3<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"30,2,0,0\"><b data-path-to-node=\"30,2,0,0\" data-index-in-node=\"0\">Text Generation<\/b><\/span><\/td>\n<td><span data-path-to-node=\"30,2,1,0\">Professional & Grounded<\/span><\/td>\n<td><span data-path-to-node=\"30,2,2,0\">Emotional & Creative<\/span><\/td>\n<td><span data-path-to-node=\"30,2,3,0\">Grok 4.1<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"30,3,0,0\"><b data-path-to-node=\"30,3,0,0\" data-index-in-node=\"0\">Image Quality<\/b><\/span><\/td>\n<td><span data-path-to-node=\"30,3,1,0\">Cinematic \/ High-Res<\/span><\/td>\n<td><span data-path-to-node=\"30,3,2,0\">Emotional \/ Realistic<\/span><\/td>\n<td><span data-path-to-node=\"30,3,3,0\">Gemini 3<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"30,4,0,0\"><b data-path-to-node=\"30,4,0,0\" data-index-in-node=\"0\">Math & Logic<\/b><\/span><\/td>\n<td><span data-path-to-node=\"30,4,1,0\">Flawless Execution<\/span><\/td>\n<td><span data-path-to-node=\"30,4,2,0\">Flawless Execution<\/span><\/td>\n<td><span data-path-to-node=\"30,4,3,0\"><b data-path-to-node=\"30,4,3,0\" data-index-in-node=\"0\">Tie<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"30,5,0,0\"><b data-path-to-node=\"30,5,0,0\" data-index-in-node=\"0\">Coding<\/b><\/span><\/td>\n<td><span data-path-to-node=\"30,5,1,0\">Better UI\/UX Design<\/span><\/td>\n<td><span data-path-to-node=\"30,5,2,0\">Stronger Page Content<\/span><\/td>\n<td><span data-path-to-node=\"30,5,3,0\">Gemini 3<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"30,6,0,0\"><b data-path-to-node=\"30,6,0,0\" data-index-in-node=\"0\">Factuality<\/b><\/span><\/td>\n<td><span data-path-to-node=\"30,6,1,0\">72.1% SimpleQA score<\/span><\/td>\n<td><span data-path-to-node=\"30,6,2,0\">~3% FactScore error<\/span><\/td>\n<td><span data-path-to-node=\"30,6,3,0\"><b data-path-to-node=\"30,6,3,0\" data-index-in-node=\"0\">Tie<\/b><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 data-path-to-node=\"31\">Conclusion: Which AI Should You Use?<\/h3>\n<p data-path-to-node=\"32\">The conclusion of the Gemini 3 vs. Grok 4.1 debate is that we are no longer in an era of &#8220;winners and losers,&#8221; but rather an era of specialized champions. Gemini 3 is the ultimate tool for the professional ecosystem\u2014perfect for those who live in Google Workspace and require the highest level of technical accuracy and visual polish. It is the &#8220;heavyweight champion&#8221; of productivity.<\/p>\n<p data-path-to-node=\"33\">Meanwhile, Grok 4.1 is the ideal choice for creatives, writers, and those who value real-time information and emotional depth. Its &#8220;Thinking Mode&#8221; and integration with X make it a uniquely capable model for navigating the complexities of human culture and current events. Regardless of which you choose, both models represent a massive leap forward in making AI a truly indispensable part of daily life.<\/p>","protected":false},"excerpt":{"rendered":"<p>The Clear Answer: Choosing between Gemini 3 and Grok 4.1 depends entirely on your specific needs. Gemini 3 (Google) is [&hellip;]<\/p>","protected":false},"author":11214,"featured_media":133686,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","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":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-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":"","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-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":"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":""},"mobile":{"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":""}},"footnotes":""},"categories":[468],"tags":[],"class_list":["post-133180","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-best-post"],"acf":[],"_links":{"self":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/posts\/133180","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/users\/11214"}],"replies":[{"embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/comments?post=133180"}],"version-history":[{"count":2,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/posts\/133180\/revisions"}],"predecessor-version":[{"id":133687,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/posts\/133180\/revisions\/133687"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/media\/133686"}],"wp:attachment":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/media?parent=133180"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/categories?post=133180"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/tags?post=133180"}],"curies":[{"name":"\u0648\u0648\u0631\u062f\u0628\u0631\u064a\u0633","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}