{"id":6248,"date":"2025-12-10T21:35:13","date_gmt":"2025-12-11T01:35:13","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=6248"},"modified":"2026-09-25T03:24:05","modified_gmt":"2026-09-25T07:24:05","slug":"chatgpt-5-1-vs-grok-4-1-2025","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/hub\/chatgpt-5-1-vs-grok-4-1-2025","title":{"rendered":"ChatGPT 5.1 vs. Grok 4.1: Historical Benchmark, Current Alternatives, and Cost Context"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Current status, checked September 24, 2026:<\/strong> ChatGPT 5.1 and Grok 4.1 are historical comparison points, not the current default model choices. <a href=\"https:\/\/docs.x.ai\/docs\/models\" target=\"_blank\" rel=\"noopener\">xAI&#8217;s current model documentation<\/a> lists Grok 4.6 as its flagship general model with a 500,000-token context and $2 input \/ $6 output per 1M tokens. OpenAI&#8217;s <a href=\"https:\/\/platform.openai.com\/docs\/models\" target=\"_blank\" rel=\"noopener\">current model catalog<\/a> has moved beyond GPT-5.1, while <a href=\"https:\/\/www.glbgpt.com\/home\/gpt-6-astra?inviter=hub_content_gpt6astra&amp;login=1\">GlobalGPT currently lists GPT-6 Astra<\/a> and <a href=\"https:\/\/www.glbgpt.com\/home\/grok-4-6?inviter=hub_content_grok46&amp;login=1\">Grok 4.6<\/a>. The benchmark sections below retain their 2025 scope; do not reuse old scores, latency figures, or subscription prices as current product facts.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The choice between ChatGPT 5.1 and Grok 4.1 ultimately depends on whether you prioritize emotional resonance or technical precision. Grok 4.1 dominates in creative and personality-driven tasks with a record-breaking 1586 score on EQ-Bench and highly aggressive pricing . In contrast, ChatGPT 5.1 remains the gold standard for enterprise environments, leveraging specialized \u201cThinking\u201d models to achieve superior reliability in complex coding and logical reasoning benchmarks like SWE-bench Verified .<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The 2025 AI landscape creates a sharp divide between \u201ccreative agents\u201d and \u201ccorporate professionals,\u201d forcing users to choose between unfiltered personality and enterprise-grade safety. This fragmentation leaves many torn between raw authenticity and proven reliability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Luckily, <a href=\"https:\/\/www.glbgpt.com\/home?inviter=hub_content_home&amp;login=1\" data-wpel-link=\"exclude\">GlobalGPT enables access to both leading AI systems <\/a>simultaneously, eliminating the need to compromise between Grok\u2019s wit and ChatGPT\u2019s precision . By consolidating models like <a href=\"https:\/\/www.glbgpt.com\/home\/gpt-6-astra?inviter=hub_content_gpt6astra&amp;login=1\" data-wpel-link=\"exclude\">GPT-6 Astra,<\/a> Grok 4.1, Claude 4.5, <a href=\"https:\/\/www.glbgpt.com\/home\/sora-2?inviter=hub_content_sora&amp;login=1\" data-wpel-link=\"exclude\">Sora 2<\/a>, <a href=\"https:\/\/www.glbgpt.com\/video-generator?inviter=hub_content_gemini3&amp;login=1\" data-wpel-link=\"exclude\">Veo 3.1<\/a>, Unikorn, and Kling into a single platform, users can deploy the ideal tool for every specific task without managing multiple subscriptions.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img alt=\"\" fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"547\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-1024x547.png\" alt=\"gpt-6 astra on globalgpt\n\" class=\"wp-image-18874\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-1024x547.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-300x160.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-768x410.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-1536x820.png 1536w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-18x10.png 18w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2026\/09\/image-4-2048x1094.png 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-3e41869c wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-black-color has-text-color has-background has-link-color wp-element-button\" href=\"https:\/\/www.glbgpt.com\/home\/gpt-6-astra?inviter=hub_popup&amp;login=1\" style=\"background:linear-gradient(135deg,rgb(255,245,203) 0%,rgb(182,227,212) 24%,rgb(51,167,181) 100%)\"><strong>Try GPT Series on GlobalGPT<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">The Core Philosophy Shift: \u201cCorporate Safety\u201d vs. \u201cUnfiltered Personality\u201d<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The fundamental difference between these two models lies in their design philosophy: OpenAI prioritizes predictable enterprise-grade utility, while xAI optimizes for engagement and raw authenticity.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" width=\"785\" height=\"732\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7d98e0f4-5d96-43c5-8285-94e575fe3d91.png\" alt=\"ChatGPT 5.1 vs Grok 4.1: Capability &amp; Personality Radar\" class=\"wp-image-6256\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7d98e0f4-5d96-43c5-8285-94e575fe3d91.png 785w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7d98e0f4-5d96-43c5-8285-94e575fe3d91-300x280.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7d98e0f4-5d96-43c5-8285-94e575fe3d91-768x716.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7d98e0f4-5d96-43c5-8285-94e575fe3d91-13x12.png 13w\" sizes=\"(max-width: 785px) 100vw, 785px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>ChatGPT<\/strong><strong> 5.1 \u2013 The \u201cAdaptive Professional\u201d<\/strong>: Built for stability, this model utilizes a dynamic routing system that automatically switches between \u201cInstant\u201d pathways for simple tasks and deep <a data-wpel-link=\"exclude\" href=\"https:\/\/www.glbgpt.com\/hub\/gpt5-1-thinking-explained\/\">\u201cThinking\u201d models for complex logic<\/a>. It is designed to minimize liability, adhering to strict safety guidelines that prevent it from engaging <a data-wpel-link=\"exclude\" href=\"https:\/\/www.glbgpt.com\/hub\/is-chatgpt-safe-exploring-risks-privacy-and-best-practices\/\">with sensitive or \u201cunsafe\u201d topics,<\/a> making it the preferred choice for corporate environments.<\/li>\n\n\n\n<li><strong>Grok 4.1 \u2013 The \u201cRebel Agent\u201d<\/strong>: xAI has engineered Grok to act as a \u201cmaximum curiosity\u201d agent that actively pushes back against \u201cwoke\u201d censorship or sanitized responses. It leverages a massive parallel swarm architecture to debate hypotheses internally, resulting in responses that feel more human, witty, and occasionally controversial, specifically targeting users who feel restricted by standard AI guardrails.<\/li>\n\n\n\n<li><strong>The End of the \u201cOne Model Fits All\u201d Era<\/strong>: In 2025, the market has splintered; users no longer look for a single \u201csmartest\u201d AI but rather choose based on the \u201cvibe\u201d and specific utility required for the task at hand. You effectively have to decide between a polite, highly competent employee (ChatGPT) and a brilliant but unhinged creative partner (Grok).<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Technical Architecture Breakdown: Under the Hood<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Comparing the technical specifications reveals how different the engineering priorities are for OpenAI and xAI.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>Feature<\/td><td>ChatGPT 5.1 (OpenAI)<\/td><td>Grok 4.1 (xAI)<\/td><\/tr><tr><td>Context Window Strategy<\/td><td>128k <a href=\"https:\/\/www.glbgpt.com\/hub\/how-to-generate-image-and-video-in-grok\/\" data-wpel-link=\"exclude\">Active + Deep Memory<\/a><br>(Prioritizes accurate retrieval over raw length)<\/td><td>2 Million Tokens (Tiered)<br>(128k &#8220;Hot&#8221; Reasoning + &#8220;Warm&#8221; Retrieval)<\/td><\/tr><tr><td>Core Architecture<\/td><td>Dynamic Routing<br>(Switches between &#8220;Instant&#8221; and &#8220;Thinking&#8221; paths)<\/td><td>Parallel Agentic Swarms<br>(Spawns multiple internal agents to debate answers)<\/td><\/tr><tr><td>Voice\/Response Latency<\/td><td>~550ms<br>(Optimized for conversational speed)<\/td><td>~1200ms+<br>(Higher latency due to swarm processing)<\/td><\/tr><tr><td>Knowledge Source<\/td><td>Pre-trained + Web Search<br>(Uses search to verify facts)<\/td><td>Real-time X (Twitter) Stream<br>(Native access to live social data)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Context Window Wars<\/strong>: Grok 4.1 boasts a massive 2 million <a data-wpel-link=\"exclude\" href=\"https:\/\/www.glbgpt.com\/hub\/gemini-3-pro-token-limit\/\">token context window,<\/a> employing a tiered system where the first 128k tokens are \u201chot\u201d (active reasoning) and the rest serve as \u201cwarm\u201d retrieval memory. In contrast, ChatGPT 5.1 typically relies on a Deep Memory RAG layer with a stricter active context limit (often around 128k-196k), prioritizing retrieval accuracy over raw context length.<\/li>\n\n\n\n<li><strong>Reasoning Architecture<\/strong>: OpenAI uses a \u201cSystem 2\u201d thinking process where the model pauses to chain thoughts together before answering, significantly reducing hallucination rates on <a data-wpel-link=\"exclude\" href=\"https:\/\/www.glbgpt.com\/hub\/deepseek-vs-chatgpt-which-ai-tool-generates-better-python-code\/\">math and coding tasks.<\/a> Grok 4.1 utilizes \u201cParallel Agentic Swarms,\u201d spawning multiple internal agents to critique and refine answers in real-time, which is particularly effective for complex, multi-step agentic workflows.<\/li>\n\n\n\n<li><strong>Latency &amp; Speed<\/strong>: For rapid interactions, ChatGPT 5.1\u2019s \u201cInstant\u201d mode is optimized for sub-second responses, making it ideal for quick queries. Grok 4.1 Fast is designed to balance speed with tool usage, but its reliance on real-time X (Twitter) data lookup can introduce variable latency compared to ChatGPT\u2019s pre-trained knowledge base.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" width=\"1356\" height=\"766\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/b523387a-ce2c-47c5-9c42-b51465de1fea.png\" alt=\"token of ChatGPT 5.1\" class=\"wp-image-6253\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/b523387a-ce2c-47c5-9c42-b51465de1fea.png 1356w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/b523387a-ce2c-47c5-9c42-b51465de1fea-300x169.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/b523387a-ce2c-47c5-9c42-b51465de1fea-1024x578.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/b523387a-ce2c-47c5-9c42-b51465de1fea-768x434.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/b523387a-ce2c-47c5-9c42-b51465de1fea-18x10.png 18w\" sizes=\"(max-width: 1356px) 100vw, 1356px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Head-to-Head Benchmarks: What Official Data Says<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">While marketing hype is loud, the official benchmark scores paint a clear picture of where each model actually dominates.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Emotional Intelligence<\/strong><strong> (EQ)<\/strong>: Grok 4.1 achieved a record-breaking score of 1586 on the EQ-Bench leaderboard, significantly outperforming competitors by understanding nuance, sarcasm, and subtext(). This high EQ makes it superior for tasks requiring empathy, such as drafting difficult emails or creative storytelling, where robotic responses feel alienating.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"1724\" height=\"920\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50172c6a-145b-4f2f-945c-a9bcd3df226b.png\" alt=\"Emotional Intelligence (EQ) of Grok 4.1\" class=\"wp-image-6255\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50172c6a-145b-4f2f-945c-a9bcd3df226b.png 1724w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50172c6a-145b-4f2f-945c-a9bcd3df226b-300x160.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50172c6a-145b-4f2f-945c-a9bcd3df226b-1024x546.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50172c6a-145b-4f2f-945c-a9bcd3df226b-768x410.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50172c6a-145b-4f2f-945c-a9bcd3df226b-1536x820.png 1536w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50172c6a-145b-4f2f-945c-a9bcd3df226b-18x10.png 18w\" sizes=\"auto, (max-width: 1724px) 100vw, 1724px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Scientific Reasoning<\/strong>: On the GPQA Diamond benchmark (PhD-level science questions), In the 2025 snapshot, Gemini 3 was presented as a leading option, but GPT-5.1 (Pro\/Thinking) follows closely with scores around 81-87%, demonstrating extreme reliability for academic research. Grok 4.1 performs admirably but generally trails slightly behind the dedicated \u201creasoning\u201d models in pure scientific accuracy.\n<ul class=\"wp-block-list\">\n<li><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Factuality &amp; Hallucinations<\/strong>: Grok 4.1 has reduced its hallucination rate to approximately 4.22% by leveraging real-time search verification tools. ChatGPT 5.1 utilizes its<a data-wpel-link=\"exclude\" href=\"https:\/\/www.glbgpt.com\/hub\/gemini-3-deep-think\/\"> \u201cThinking\u201d mode to cross-check facts<\/a>, aiming for similar reductions in error rates, particularly in \u201cHigh\u201d capability domains like biology and chemistry.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"1736\" height=\"1132\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/3947c517-165e-4153-99e1-0b9a5bfbd379.png\" alt=\"Factuality &amp; Hallucinations: of Grok 4.1 \" class=\"wp-image-6259\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/3947c517-165e-4153-99e1-0b9a5bfbd379.png 1736w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/3947c517-165e-4153-99e1-0b9a5bfbd379-300x196.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/3947c517-165e-4153-99e1-0b9a5bfbd379-1024x668.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/3947c517-165e-4153-99e1-0b9a5bfbd379-768x501.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/3947c517-165e-4153-99e1-0b9a5bfbd379-1536x1002.png 1536w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/3947c517-165e-4153-99e1-0b9a5bfbd379-18x12.png 18w\" sizes=\"auto, (max-width: 1736px) 100vw, 1736px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Coding &amp; Development: Precision vs. Agentic Workflow<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">For developers, the choice depends on whether you need surgical code edits or a full-stack autonomous agent.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>For Developers \u2013 GPT-5.1<\/strong>: ChatGPT 5.1 excels at maintaining repository integrity using the <code>apply_patch<\/code> tool, which allows it to make surgical edits to existing codebases without rewriting entire files. It achieves a high score on SWE-bench Verified (approx. 74.9%), making it the safer choice for integrating into established enterprise pipelines where breaking changes are unacceptable.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"1280\" height=\"1067\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/8da96127-a2dd-4b05-842b-bf433b634551.png\" alt=\"SWE-bench Verified of ChatGPT 5.1 \" class=\"wp-image-6257\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/8da96127-a2dd-4b05-842b-bf433b634551.png 1280w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/8da96127-a2dd-4b05-842b-bf433b634551-300x250.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/8da96127-a2dd-4b05-842b-bf433b634551-1024x854.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/8da96127-a2dd-4b05-842b-bf433b634551-768x640.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/8da96127-a2dd-4b05-842b-bf433b634551-14x12.png 14w\" sizes=\"auto, (max-width: 1280px) 100vw, 1280px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>For Full-Stack Agents \u2013 Grok 4.1<\/strong>: Grok shines in agentic workflows via its \u201cAgent Tools API,\u201d which allows it to chain multiple actions\u2014like searching documentation, writing code, and executing it\u2014in a loop. It is optimized for \u201cvibe coding,\u201d where a developer describes a high-level goal, and Grok rapidly prototypes a functional solution using its massive context window to understand the whole project scope.<\/li>\n\n\n\n<li><strong>SWE-bench Verified Results<\/strong>: While GPT-5.1 holds a verified score of ~74.9%, Grok 4.1 claims competitive performance in the same tier (79% according to some comparisons), driven by its ability to self-correct using parallel agent swarms.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"697\" height=\"530\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/f6b6c6be-f982-45cf-82e8-e3f8bd976895.png\" alt=\"SWE-bench Verified Results\" class=\"wp-image-6252\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/f6b6c6be-f982-45cf-82e8-e3f8bd976895.png 697w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/f6b6c6be-f982-45cf-82e8-e3f8bd976895-300x228.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/f6b6c6be-f982-45cf-82e8-e3f8bd976895-16x12.png 16w\" sizes=\"auto, (max-width: 697px) 100vw, 697px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">if you want to compare these coding capabilities side-by-side on your own codebase, GlobalGPT provides a unified environment to run both models against the same prompt.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">9-Round Real-World \u201cVibe Check\u201d: Usability Tests<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Beyond benchmarks, how do these models feel in daily usage? Tests reveal distinct personalities.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"794\" height=\"328\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/08af5933-3f2c-4bda-99ad-574f5c1f39c1.png\" alt=\"9-Round Real-World &quot;Vibe Check&quot;: Usability Tests 1\" class=\"wp-image-6251\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/08af5933-3f2c-4bda-99ad-574f5c1f39c1.png 794w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/08af5933-3f2c-4bda-99ad-574f5c1f39c1-300x124.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/08af5933-3f2c-4bda-99ad-574f5c1f39c1-768x317.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/08af5933-3f2c-4bda-99ad-574f5c1f39c1-18x7.png 18w\" sizes=\"auto, (max-width: 794px) 100vw, 794px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Creative Writing<\/strong>: In blind tests, users preferred Grok 4.1\u2019s creative output 64% of the time because it creates tension, uses sensory details, and avoids the clich\u00e9 \u201cAI voice\u201d common in ChatGPT. Grok is willing to take narrative risks, whereas ChatGPT 5.1 often defaults to safe, \u201cDisney-fied\u201d resolutions.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"1806\" height=\"1574\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50ff87a3-5151-4347-ab38-b57768a4d727.png\" alt=\"9-Round Real-World &quot;Vibe Check&quot;: Usability Tests 2\" class=\"wp-image-6261\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50ff87a3-5151-4347-ab38-b57768a4d727.png 1806w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50ff87a3-5151-4347-ab38-b57768a4d727-300x261.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50ff87a3-5151-4347-ab38-b57768a4d727-1024x892.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50ff87a3-5151-4347-ab38-b57768a4d727-768x669.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50ff87a3-5151-4347-ab38-b57768a4d727-1536x1339.png 1536w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/50ff87a3-5151-4347-ab38-b57768a4d727-14x12.png 14w\" sizes=\"auto, (max-width: 1806px) 100vw, 1806px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Logic &amp; Traps<\/strong>: When presented with linguistic trick questions (e.g., \u201c17 sheep, all but 9 die\u201d), Grok 4.1 correctly identifies the linguistic trap and explains <em>why<\/em> it\u2019s a trick. ChatGPT 5.1 solves the math correctly but often misses the conversational nuance, treating it as a pure logic problem.<\/li>\n\n\n\n<li><strong>Humor &amp; Tone<\/strong>: Grok 4.1 excels at \u201croast\u201d style humor and dark comedy, generating stand-up bits that feel edgy and human. ChatGPT 5.1 struggles here, often producing \u201csafe jokes\u201d or dad jokes that lack the bite required for genuine comedy, due to its strict safety alignment.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Multimodal Capabilities: Vision, Voice &amp; Video<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The ability to see, hear, and generate media is a key battleground.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"708\" height=\"530\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/876cfeac-3b5c-40df-a884-f321c1735dcb.png\" alt=\"Voice Mode Latency comparison\" class=\"wp-image-6258\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/876cfeac-3b5c-40df-a884-f321c1735dcb.png 708w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/876cfeac-3b5c-40df-a884-f321c1735dcb-300x225.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/876cfeac-3b5c-40df-a884-f321c1735dcb-16x12.png 16w\" sizes=\"auto, (max-width: 708px) 100vw, 708px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Video Generation<\/strong>: ChatGPT 5.1 integrates natively with <strong>Sora 2<\/strong>, allowing users to <a data-wpel-link=\"exclude\" href=\"https:\/\/www.glbgpt.com\/hub\/can-chatgpt-make-videos\/\">generate physically accurate video <\/a>clips (up to 25s) directly within the chat interface. In the 2025 comparison, Grok 4.1 lacked a native video generation model of this caliber, relying instead on image generation models like Aurora or Flux, putting it behind in video workflows.<\/li>\n\n\n\n<li><strong>Voice Mode Latency<\/strong>: For real-time voice interaction, latency is critical. GPT-5.1\u2019s voice mode clocks in at around 550ms, providing a snappy, conversational feel. Grok 4.1\u2019s audio processing is slower, with latencies often exceeding 1200ms, making it feel more like a walkie-talkie exchange than a natural conversation.<\/li>\n\n\n\n<li><strong>Image Analysis<\/strong>: GPT-5.1 (especially with Thinking enabled) excels at analyzing scientific figures and charts, scoring highly on the CharXiv benchmark. Grok 4.1 leverages its vision capabilities primarily for analyzing social media images and memes from X, giving it a cultural edge but a scientific disadvantage.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Safety, Censorship &amp; Refusal Rates<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The \u201cWoke\u201d debate is central to the marketing of these models.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"549\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6be4b7a5-4e59-4f64-a2f5-2b15432707d6.png\" alt=\"Safety, Censorship &amp; Refusal Rates\" class=\"wp-image-6265\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6be4b7a5-4e59-4f64-a2f5-2b15432707d6.png 640w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6be4b7a5-4e59-4f64-a2f5-2b15432707d6-300x257.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6be4b7a5-4e59-4f64-a2f5-2b15432707d6-14x12.png 14w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The \u201cWoke\u201d Debate<\/strong>: Grok 4.1 promotes a \u201cMaximum Curiosity\u201d stance with a refusal rate of less than 1% for sensitive topics, making it willing to discuss controversial political or social issues that other models avoid.<\/li>\n\n\n\n<li><strong>Enterprise Compliance<\/strong>: ChatGPT 5.1 maintains a refusal rate of around 4.5% for general users but offers \u201cTrust Tiers\u201d for enterprise clients, ensuring that corporate outputs remain safe for work (NSFW filters, legal compliance)()()()(). This makes it the only viable choice for Fortune 500 companies that cannot risk PR disasters.<\/li>\n\n\n\n<li><strong>Handling Medical\/Legal Advice<\/strong>: Despite its \u201crebel\u201d image, Grok 4.1 is surprisingly conservative with medical advice, often deferring strictly to professionals to avoid liability. ChatGPT 5.1, improved by the HealthBench evaluation, attempts to be a helpful \u201cthought partner\u201d while still flagging risks, providing more detailed medical context than Grok()()()().<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">The Token Economy: 2025 Pricing Snapshot (Historical)<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Pricing is where Grok 4.1 lands its biggest blow against the competition.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"695\" height=\"530\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/9b1d09fb-ce4e-417d-949b-58291fc48acf.png\" alt=\"API Pricing Shock\" class=\"wp-image-6254\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/9b1d09fb-ce4e-417d-949b-58291fc48acf.png 695w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/9b1d09fb-ce4e-417d-949b-58291fc48acf-300x229.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/9b1d09fb-ce4e-417d-949b-58291fc48acf-16x12.png 16w\" sizes=\"auto, (max-width: 695px) 100vw, 695px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>API<\/strong><strong> Pricing Shock<\/strong>: xAI has aggressively priced Grok 4.1 Fast at <strong>$0.20 per million input tokens<\/strong>, which is approximately <strong>84% cheaper<\/strong> than ChatGPT 5.1\u2019s $1.25 per million input tokens. For developers building high-volume applications, this price difference is a decisive factor.\n<ul class=\"wp-block-list\">\n<li><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>The \u201cSubscription Trap\u201d<\/strong>: To access the best version of Grok (non-API), users must subscribe to <strong>X Premium+<\/strong> ($16\/month). To get the best of ChatGPT, you need <strong>ChatGPT Plus<\/strong> ($20\/month). Maintaining both subscriptions costs over $400\/year, creating significant \u201csubscription fatigue.\u201d<\/li>\n\n\n\n<li><strong>Developer Savings<\/strong>: For an app processing 100 million tokens monthly, using Grok 4.1 instead of GPT-5.1 could save a startup over $1,000 per month in raw API costs ($20 vs $125+).<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">The \u201cHybrid Workflow\u201d: Maximizing Efficiency<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Instead of choosing one, the most effective power users in 2025 are combining both models to leverage their unique strengths.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"987\" height=\"365\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/18a1ccbe-0d48-45e0-8304-b91f36e10ccb.png\" alt=\"The &quot;Hybrid Workflow&quot;: Maximizing Efficiency\" class=\"wp-image-6260\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/18a1ccbe-0d48-45e0-8304-b91f36e10ccb.png 987w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/18a1ccbe-0d48-45e0-8304-b91f36e10ccb-300x111.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/18a1ccbe-0d48-45e0-8304-b91f36e10ccb-768x284.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/18a1ccbe-0d48-45e0-8304-b91f36e10ccb-18x7.png 18w\" sizes=\"auto, (max-width: 987px) 100vw, 987px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Phase 1: Ideation &amp; Research (Grok 4.1)<\/strong>: Start with Grok 4.1 to brainstorm ideas, draft creative content, or research real-time news events using its X integration. Its high EQ and low refusal rate make it perfect for generating raw, unfiltered concepts.<\/li>\n\n\n\n<li><strong>Phase 2: Structure &amp; Coding (<\/strong><strong>ChatGPT<\/strong><strong> 5.1)<\/strong>: Take the raw draft or concept to ChatGPT 5.1 for structural refinement, logical fact-checking, or converting the idea into production-ready code using the <code>apply_patch<\/code> tool.<\/li>\n\n\n\n<li><strong>Phase 3: Visual Verification (Gemini 3)<\/strong>: If the project involves complex visual data or scientific charts, use Gemini 3 to verify the visual elements, as it currently leads in visual reasoning benchmarks().<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">The Unified Solution: Accessing All Models via GlobalGPT<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Managing three separate subscriptions and API keys is inefficient and costly.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"1280\" height=\"496\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6caedade-3da9-4a17-914a-5224693bfa6c.png\" alt=\"price of ChatGPT\" class=\"wp-image-6263\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6caedade-3da9-4a17-914a-5224693bfa6c.png 1280w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6caedade-3da9-4a17-914a-5224693bfa6c-300x116.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6caedade-3da9-4a17-914a-5224693bfa6c-1024x397.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6caedade-3da9-4a17-914a-5224693bfa6c-768x298.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6caedade-3da9-4a17-914a-5224693bfa6c-18x7.png 18w\" sizes=\"auto, (max-width: 1280px) 100vw, 1280px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"1684\" height=\"772\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7b3d53d8-b913-432b-a920-48ef3515de12.png\" alt=\"price of Grok\" class=\"wp-image-6262\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7b3d53d8-b913-432b-a920-48ef3515de12.png 1684w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7b3d53d8-b913-432b-a920-48ef3515de12-300x138.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7b3d53d8-b913-432b-a920-48ef3515de12-1024x469.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7b3d53d8-b913-432b-a920-48ef3515de12-768x352.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7b3d53d8-b913-432b-a920-48ef3515de12-1536x704.png 1536w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/7b3d53d8-b913-432b-a920-48ef3515de12-18x8.png 18w\" sizes=\"auto, (max-width: 1684px) 100vw, 1684px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Solving Subscription Fatigue<\/strong>: GlobalGPT integrates <strong><a data-wpel-link=\"exclude\" href=\"https:\/\/www.glbgpt.com\/home\/gpt-6-astra?inviter=hub_content_gpt6astra&amp;login=1\">GPT-6 Astra<\/a><\/strong><strong>, Grok 4.6, and <\/strong><strong><a data-wpel-link=\"exclude\" href=\"https:\/\/www.glbgpt.com\/home\/gemini-3-pro?inviter=hub_content_gemini3&amp;login=1\">Gemini 3<\/a><\/strong> into a single interface, allowing users <a data-wpel-link=\"exclude\" href=\"https:\/\/www.glbgpt.com\/home?inviter=hub_content_home&amp;login=1\">to access 100+ top-tier models starting <\/a>at $10.8\/month when billed annually. This eliminates the need to pay $50+ monthly for separate X Premium+, ChatGPT Plus, and Google One subscriptions.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" width=\"1584\" height=\"1046\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6a32d5b4-7100-43a9-a36d-8455fc527469.png\" alt=\"Price of GlobalGPT\" class=\"wp-image-6264\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6a32d5b4-7100-43a9-a36d-8455fc527469.png 1584w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6a32d5b4-7100-43a9-a36d-8455fc527469-300x198.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6a32d5b4-7100-43a9-a36d-8455fc527469-1024x676.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6a32d5b4-7100-43a9-a36d-8455fc527469-768x507.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6a32d5b4-7100-43a9-a36d-8455fc527469-1536x1014.png 1536w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/12\/6a32d5b4-7100-43a9-a36d-8455fc527469-18x12.png 18w\" sizes=\"auto, (max-width: 1584px) 100vw, 1584px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Comparing Outputs Side-by-Side<\/strong>: The platform allows for seamless model switching, enabling users to run the same prompt against Grok and GPT-5.1 instantly to compare results without switching tabs or logging into different accounts.<\/li>\n\n\n\n<li><strong>Breaking Region Locks<\/strong>: GlobalGPT provides access to region-restricted models (like Claude 4.5 or Grok in the EU) without requiring complex VPN setups or foreign phone number verifications.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Final Verdict: Which Model Should You Choose?<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The Developer\u2019s Choice (historical GPT-5.1 baseline)<\/strong>: If you need reliable, structured code generation and enterprise-grade security, ChatGPT 5.1 is non-negotiable. Its <code>apply_patch<\/code> tool and high SWE-bench scores make it the industry standard.<\/li>\n\n\n\n<li><strong>The Creator\u2019s Choice (historical Grok 4.1 baseline)<\/strong>: If you need a writing partner with personality, humor, and a lack of moralizing filters, Grok 4.1 is superior. Its low cost and high EQ make it the best tool for content generation().<\/li>\n\n\n\n<li><strong>The Researcher\u2019s Choice (Gemini 3)<\/strong>: For pure scientific discovery and analyzing complex visual data, Gemini 3 remains the specialist king, outperforming generalist models in deep reasoning tasks.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>For a new project in 2026:<\/strong> use GPT-6 Astra or another current OpenAI route for structured work, and Grok 4.6 when you need xAI&#8217;s current general model and optional search tools. Use the older benchmark below to understand the original tradeoff, not as a live price or availability table.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Frequently Asked Questions (FAQ)<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Can Grok 4.1 analyze PDF files as well as ChatGPT?<\/strong>\n<ul class=\"wp-block-list\">\n<li>Yes, Grok 4.1 now supports file uploads and can retrieve information from documents via the Agent Tools API, similar to ChatGPT\u2019s analysis features.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Does GlobalGPT support the \u201cPro\u201d versions of these models?<\/strong>\n<ul class=\"wp-block-list\">\n<li>Yes, GlobalGPT provides access to high-end models like <strong>Sora 2 Pro<\/strong> and <strong>GPT-5.1<\/strong>, which are typically locked behind expensive tiers on official platforms.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Is ChatGPT 5.1 faster than Grok 4.1 for simple queries?<\/strong>\n<ul class=\"wp-block-list\">\n<li>Yes, thanks to its \u201cInstant\u201d mode, ChatGPT 5.1 typically responds to simple queries in under a second (approx. 550ms), whereas Grok 4.1 can take longer due to its swarm processing overhead.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h3 id=\"current-models-2026\" class=\"wp-block-heading\">What should I use for a new project in 2026?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Start by testing GPT-6 Astra and Grok 4.6 against the same prompts, files, tools, and acceptance criteria. GPT-6 Astra is the current GlobalGPT planning route listed for structured work; Grok 4.6 is xAI&#8217;s current flagship general model.<\/p>\n\n\n\n<h3 id=\"current-grok-price\" class=\"wp-block-heading\">What is the current Grok 4.6 API price?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">xAI&#8217;s current documentation lists Grok 4.6 at $2 per 1M input tokens and $6 per 1M output tokens, with a 500,000-token context. This is separate from any consumer subscription price.<\/p>\n\n\n\n<h3 id=\"old-benchmark-status\" class=\"wp-block-heading\">Are the ChatGPT 5.1 and Grok 4.1 benchmark figures still current?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">No. The scores, latency estimates, model limits, and subscription prices in the original comparison belong to its 2025 test frame. Treat them as historical context and rerun tests with the current model IDs before making a purchase or integration decision.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Current status, checked September 24, 2026: ChatGPT 5.1 and Grok 4.1 are historical comparison points, not the current default model choices. xAI&#8217;s current model documentation lists Grok 4.6 as its flagship general model with a 500,000-token context and $2 input \/ $6 output per 1M tokens. OpenAI&#8217;s current model catalog has moved beyond GPT-5.1, while [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":6249,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"ChatGPT 5.1 vs. Grok 4.1 (2025): The Ultimate Benchmark & Cost Review - Global GPT","_seopress_titles_desc":"Compare the original ChatGPT 5.1 vs Grok 4.1 benchmark, then see current Grok 4.6, GPT-6 Astra, pricing context, limits, and practical use cases.","_seopress_robots_index":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-6248","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-chat"],"acf":[],"_links":{"self":[{"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/posts\/6248","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/comments?post=6248"}],"version-history":[{"count":5,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/posts\/6248\/revisions"}],"predecessor-version":[{"id":19856,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/posts\/6248\/revisions\/19856"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/media\/6249"}],"wp:attachment":[{"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/media?parent=6248"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/categories?post=6248"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/wp-json\/wp\/v2\/tags?post=6248"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}