{"id":2161,"date":"2026-07-16T19:33:53","date_gmt":"2026-07-16T19:33:53","guid":{"rendered":"https:\/\/navigotechsolutions.com\/blog\/grok-on-aws-bedrock-just-launched-what-indian-firms-need-now\/"},"modified":"2026-07-16T19:33:55","modified_gmt":"2026-07-16T19:33:55","slug":"grok-on-aws-bedrock-just-launched-what-indian-firms-need-now","status":"publish","type":"post","link":"https:\/\/navigotechsolutions.com\/blog\/grok-on-aws-bedrock-just-launched-what-indian-firms-need-now\/","title":{"rendered":"Grok on AWS Bedrock Just Launched: What Indian Firms Need Now"},"content":{"rendered":"<style>\n:root{--primary-blue:#1e90ff;--deep-blue:#003C8F;--accent-orange:#1e90ff;--neutral-bg:#F9F9F9;--neutral-white:#FFFFFF;--text-charcoal:#2C2C2C;--text-grey:#555555;--light-blue-bg:#EDF5FF;}\nbody{margin:0;padding:0;font-family:'Open Sans',sans-serif;background-color:var(--neutral-bg);color:var(--text-charcoal);line-height:1.6;}\na{color:var(--primary-blue);font-weight:700;text-decoration:none;border-bottom:2px solid var(--accent-orange);transition:all .3s ease;}\na:hover{color:var(--deep-blue);border-bottom-color:var(--primary-blue);background-color:var(--light-blue-bg);}\n.navigo-container{font-family:'Open Sans',sans-serif;background-color:var(--neutral-bg);background-image:radial-gradient(#e5e5e5 1px,transparent 1px);background-size:20px 20px;max-width:900px;margin:40px auto;padding:40px;border-radius:20px;box-shadow:0 10px 30px 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p{font-size:1.05rem;color:var(--text-grey);line-height:1.7;margin:0 0 12px;max-width:760px;}\n.navigo-article{background:var(--neutral-white);padding:35px;border-radius:12px;border:1px solid #e5e5e5;line-height:1.9;font-size:1.06rem;color:var(--text-grey);position:relative;z-index:1;}\n.navigo-article h2{font-family:'Montserrat',sans-serif;color:var(--deep-blue);font-size:1.6rem;margin-top:34px;margin-bottom:12px;}\n.navigo-article h3{font-family:'Montserrat',sans-serif;color:var(--text-charcoal);font-size:1.2rem;margin-top:22px;margin-bottom:8px;}\n.navigo-article p{margin-bottom:14px;}\n.navigo-article ul{margin-left:18px;margin-bottom:14px;}\n.navigo-article table{width:100%;border-collapse:collapse;margin:20px 0;}\n.navigo-article th,.navigo-article td{border:1px solid #e5e5e5;padding:12px;text-align:left;}\n.navigo-article th{background-color:#f2f2f2;color:var(--deep-blue);}\n.key-takeaways{background:var(--light-blue-bg);border-left:6px solid var(--primary-blue);padding:18px 22px;border-radius:8px;margin:28px 0;}\n.toc{background:#fafafa;border:1px solid #eee;padding:20px;border-radius:8px;margin:25px 0;}\n.toc strong{display:block;margin-bottom:10px;font-family:'Montserrat',sans-serif;color:var(--deep-blue);}\n.toc ul{list-style-type:none;padding-left:0;margin:0;}\n.toc li{margin-bottom:8px;padding-left:15px;position:relative;}\n.toc li::before{content:\"\u2022\";color:var(--primary-blue);position:absolute;left:0;top:0;}\n.navigo-faq-header{text-align:center;margin-top:42px;margin-bottom:22px;}\n.navigo-faq-header h2{font-family:'Montserrat',sans-serif;font-size:1.9rem;color:var(--text-charcoal);}\n.navigo-faq-details{background:var(--neutral-white);margin-bottom:12px;border-radius:8px;border:1px solid #e5e5e5;overflow:hidden;position:relative;z-index:1;}\n.navigo-faq-summary{padding:16px 20px;font-family:'Montserrat',sans-serif;font-weight:700;color:var(--deep-blue);cursor:pointer;display:flex;justify-content:space-between;align-items:center;list-style:none;}\n.navigo-faq-summary::after{content:'';width:10px;height:10px;border-right:3px solid var(--primary-blue);border-bottom:3px solid var(--primary-blue);transform:rotate(45deg);flex-shrink:0;}\n.navigo-faq-details[open] .navigo-faq-summary::after{transform:rotate(-135deg);}\n.navigo-faq-answer{padding:0 20px 18px;color:var(--text-grey);}\n.navigo-footer{margin-top:36px;padding-top:22px;border-top:2px solid #eee;text-align:center;color:var(--text-grey);font-size:.95rem;position:relative;z-index:1;}\n@media(max-width:768px){.navigo-container{padding:20px;margin:0;border-radius:0;}.navigo-hero{padding:25px;}.navigo-article{padding:20px;font-size:1rem;}.navigo-shape-top-right,.navigo-shape-bottom-left{display:none;}}\n<\/style>\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Montserrat:wght@400;700;800&#038;family=Open+Sans:wght@400;600;700&#038;display=swap\" rel=\"stylesheet\">\n<div class=\"navigo-container\">\n<div class=\"navigo-shape-top-right\"><\/div>\n<div class=\"navigo-shape-bottom-left\"><\/div>\n<div class=\"navigo-hero\">\n<div class=\"navigo-logo\">NaviGo Tech Solutions<\/div>\n<h1>Grok on AWS Bedrock Just Launched: What Indian Firms Need Now<\/h1>\n<p>Elon Musk&#8217;s xAI launched <strong>Grok 4.3 on Amazon Bedrock<\/strong> on June 15, 2026. This is a major event for Indian businesses exploring enterprise AI. But Grok comes with unique quirks, risks, and cost advantages. Here is what you must know before building your next AI agent on it.<\/p>\n<p>This guide covers:<\/p>\n<ul>\n<li>What Grok on Bedrock actually means for your business<\/li>\n<li>Pricing, context window, and performance details<\/li>\n<li>Step-by-step setup using the Mantle engine<\/li>\n<li>Key risks like hallucination trade-offs and vendor instability<\/li>\n<li>A comparison with Claude Sonnet 4.6 and GPT-5.6<\/li>\n<\/ul>\n<p>Read on before you sign up for any AI inference contract this quarter.<\/p>\n<\/p><\/div>\n<div class=\"navigo-article\">\n<div class=\"key-takeaways\"><strong>What You&#8217;ll Learn:<\/strong><\/p>\n<ul>\n<li>Why AWS is betting on Grok despite weak enterprise demand<\/li>\n<li>How Grok 4.3 pricing works and where it undercuts competitors<\/li>\n<li>The Mantle inference engine and why it changes your API setup<\/li>\n<li>Three mistakes Indian firms make when deploying Grok<\/li>\n<\/ul><\/div>\n<div class=\"toc\"><strong>Table of Contents<\/strong><\/p>\n<ul>\n<li><a href=\"#section-1\">What Is Grok on AWS Bedrock and Why Should Indian Firms Care?<\/a><\/li>\n<li><a href=\"#section-2\">Why Grok 4.3 Matters for Indian Enterprises Right Now<\/a><\/li>\n<li><a href=\"#section-3\">How to Get Grok Running on AWS Bedrock for Your Business<\/a><\/li>\n<li><a href=\"#section-4\">Common Mistakes Indian Firms Make with Grok on Bedrock<\/a><\/li>\n<li><a href=\"#section-5\">Grok 4.3 vs Claude Sonnet 4.6 vs GPT-5.6: Quick Comparison<\/a><\/li>\n<\/ul><\/div>\n<h2 id=\"section-1\">What Is Grok on AWS Bedrock and Why Should Indian Firms Care?<\/h2>\n<p>Grok is the large language model built by Elon Musk&#8217;s company xAI. It has been available through X (formerly Twitter) for consumer use since late 2024. Now, with the release of <strong>Grok 4.3<\/strong> on <strong>Amazon Bedrock<\/strong>, Indian businesses can access it through AWS just like they access Claude or GPT models.<\/p>\n<p>Amazon Bedrock is a managed service that lets companies use top AI models without running their own infrastructure. By adding Grok, AWS gives you a third major option alongside Anthropic and OpenAI. That matters for Indian firms because more competition means better pricing and more choice for your specific use case.<\/p>\n<p>Grok 4.3 runs on a new inference engine called <strong>Mantle<\/strong>. Mantle uses an OpenAI-compatible API endpoint, not the standard Bedrock endpoint. That means if your development team already writes code for OpenAI, you can switch to Grok with minimal changes \u2014 just update the endpoint URL and model name.<\/p>\n<p>One important detail: xAI merged into SpaceX in February 2026. The company structure is still evolving. Nine of the original eleven co-founders have left as of late May 2026. That creates some vendor risk you need to factor into your decision. For more on how to evaluate AI vendors, read our guide on <a href=\"https:\/\/navigotechsolutions.com\/blog\/aws-ml-agentic-vision-what-indian-firms-must-know-in-2026\/\">AWS ML Agentic Vision: What Indian Firms Must Know<\/a>.<\/p>\n<h2 id=\"section-2\">Why Grok 4.3 Matters for Indian Enterprises Right Now<\/h2>\n<h3>Cost Advantage: 5x Cheaper Than Claude Sonnet 4.6<\/h3>\n<p>Bindu Reddy, CEO of Abacus AI, described Grok 4.3 as being as smart as Sonnet 4.6 but 5x cheaper and faster. At $1.25 per million input tokens and $2.50 per million output tokens, Grok beats almost every frontier model on price. For Indian startups and SMEs running high-volume agentic workloads, that difference shows up directly in your monthly AWS bill.<\/p>\n<h3>Agentic Performance: Best in Class for Structured Tasks<\/h3>\n<p>Grok 4.3 scores 1,500 on the GDPval-AA agentic ELO benchmark \u2014 a massive jump from its predecessor. It ranks number one on Vals AI CaseLaw v2 with 79.3 percent accuracy and number one on Vals AI CorpFin. Its score on Tau2-Bench Telecom hit 98 percent. If your business builds AI agents for customer support, financial document Q&#038;A, or legal research, Grok is a strong candidate.<\/p>\n<h3>1 Million Token Context Window<\/h3>\n<p>With a context window of 1 million tokens, Grok can handle very large documents \u2014 think annual reports, legal contracts, or entire product catalogs. The catch is that pricing doubles for any request over 200,000 total tokens. You need to plan your prompts wisely.<\/p>\n<h3>OpenAI-Compatible API via Mantle<\/h3>\n<p>Mantle launched OpenAI-compatible support in March 2026. That means you can call Grok using the same openai Python SDK you already use for GPT models. No need to learn a new API. Your team can start testing within hours, not days.<\/p>\n<p>If you want to understand how AI agents can automate your customer service workflows, check out our post on <a href=\"https:\/\/navigotechsolutions.com\/blog\/google-gemini-agents-to-automate-your-indian-business-2026-guide\/\">Google Gemini Agents to Automate Your Indian Business: 2026 Guide<\/a>.<\/p>\n<figure class=\"wp-block-image size-large\" style=\"margin: 32px 0; text-align: center;\">\n                      <img decoding=\"async\" src=\"https:\/\/navigotechsolutions.com\/blog\/wp-content\/uploads\/2026\/07\/grok-on-aws-bedrock-1.jpg\" alt=\"list-based infographic showing Grok 4.3 benefits: lower cost, high agentic performance, 1M context, easy API switch. Numbered colored icons (1 through 4) on clean white background. Premium blue and green colour scheme.\" style=\"border-radius: 12px; max-width: 100%; height: auto; box-shadow: 0 4px 15px rgba(0,0,0,0.08);\" \/><br \/>\n                    <\/figure>\n<h2 id=\"section-3\">How to Get Grok Running on AWS Bedrock for Your Business<\/h2>\n<h3>Step 1: Ensure Your AWS Region Supports Grok<\/h3>\n<p>Grok 4.3 is available in three US regions only: Oregon (us-west-2), N. Virginia (us-east-1), and Ohio (us-east-2). There is no support for cross-region inference or multi-region failover at launch. Indian firms should pick the closest region (us-east-1) for lowest latency.<\/p>\n<h3>Step 2: Switch to the Mantle Endpoint<\/h3>\n<p>Grok does not work with the standard Bedrock InvokeModel or Converse API. You must use the Mantle endpoint: <code>https:\/\/bedrock-mantle.{region}.api.aws\/openai\/v1<\/code>. Replace {region} with your chosen AWS region.<\/p>\n<h3>Step 3: Use an OpenAI-Compatible Client<\/h3>\n<p>Install the openai Python SDK. Configure your client with the Mantle endpoint URL and your AWS credentials (which must have Bedrock access). The model ID is <code>xai.grok-4.3<\/code>.<\/p>\n<h3>Step 4: Set Reasoning Effort<\/h3>\n<p>Grok 4.3 always uses reasoning by default. You can control it via the <code>reasoning.effort<\/code> parameter \u2014 set it to none, low, medium, or high. For simple Q&#038;A, set it low to save cost. For complex agentic tasks, set it high.<\/p>\n<h3>Step 5: Monitor Token Usage<\/h3>\n<p>Pricing doubles for any request over 200,000 total tokens within the context window. Use prompt compression or chunking for long documents. Cache frequent inputs to get the cached input rate of $0.20 per million tokens.<\/p>\n<h2 id=\"section-4\">Common Mistakes Indian Firms Make with Grok on Bedrock<\/h2>\n<h3>Mistake 1: Ignoring the Hallucination Trade-Off<\/h3>\n<p>Grok 4.3 lost about 8 points on the non-hallucination metric compared to Grok 4.20, while gaining 8 points on factual accuracy. That means it gives more correct answers but also more confident wrong ones. For regulated industries like finance and healthcare in India, this is a real problem. Always add guardrails and human review loops. Consider our <a href=\"https:\/\/navigotechsolutions.com\/services.html#consulting\">AI strategy consulting<\/a> to build safe AI workflows.<\/p>\n<h3>Mistake 2: Overlooking Vendor Instability<\/h3>\n<p>xAI merged into SpaceX and lost most of its original team. The company&#8217;s long-term roadmap is unclear. If you build your entire AI stack on Grok today, a sudden deprecation or price change could disrupt your operations. Hedge your risk by using Bedrock&#8217;s multi-model support.<\/p>\n<h3>Mistake 3: Not Testing with Indian Language Data<\/h3>\n<p>Grok 4.3 processes text and images but outputs text only. Its training data may have limited representation of Indian languages. Run pilot tests on Hindi, Tamil, or Bengali customer queries before scaling production.<\/p>\n<figure class=\"wp-block-image size-large\" style=\"margin: 32px 0; text-align: center;\">\n                      <img decoding=\"async\" src=\"https:\/\/navigotechsolutions.com\/blog\/wp-content\/uploads\/2026\/07\/grok-on-aws-bedrock-2.jpg\" alt=\"2-column comparison grid showing three mistakes on left (red X icons) vs best practices on right (green check icons). Clean white background. Each row has small icon and short label: Mistake 1 vs \"Add guardrails\", Mistake 2 vs \"Diversify models\", Mistake 3 vs \"Run language pilots\". Premium corporate colours.\" style=\"border-radius: 12px; max-width: 100%; height: auto; box-shadow: 0 4px 15px rgba(0,0,0,0.08);\" \/><br \/>\n                    <\/figure>\n<h2 id=\"section-5\">Grok 4.3 vs Claude Sonnet 4.6 vs GPT-5.6: Quick Comparison<\/h2>\n<p>If you are evaluating AI models for your Indian business, here is a side-by-side comparison of the three leading options on AWS Bedrock. All data as of June 2026.<\/p>\n<table>\n<thead>\n<tr>\n<th>Feature<\/th>\n<th>Grok 4.3<\/th>\n<th>Claude Sonnet 4.6<\/th>\n<th>GPT-5.6 Sol Terra Luna<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Pricing (input)<\/td>\n<td>$1.25\/M tokens<\/td>\n<td>$3.00\/M tokens<\/td>\n<td>$2.50\/M tokens<\/td>\n<\/tr>\n<tr>\n<td>Pricing (output)<\/td>\n<td>$2.50\/M tokens<\/td>\n<td>$15.00\/M tokens<\/td>\n<td>$10.00\/M tokens<\/td>\n<\/tr>\n<tr>\n<td>Context window<\/td>\n<td>1M tokens<\/td>\n<td>200K tokens<\/td>\n<td>1M tokens<\/td>\n<\/tr>\n<tr>\n<td>Agentic ELO<\/td>\n<td>1,500<\/td>\n<td>1,420<\/td>\n<td>1,480<\/td>\n<\/tr>\n<tr>\n<td>API Compatibility<\/td>\n<td>OpenAI (Mantle)<\/td>\n<td>Bedrock native<\/td>\n<td>Bedrock native<\/td>\n<\/tr>\n<tr>\n<td>Vendor risk<\/td>\n<td>High (xAI restructuring)<\/td>\n<td>Low (Anthropic stable)<\/td>\n<td>Medium (OpenAI fast-moving)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>If you want to explore <strong>GPT-5.6 on Bedrock<\/strong>, read our detailed guide on <a href=\"https:\/\/navigotechsolutions.com\/blog\/openai-gpt-5-6-sol-terra-luna-launched-on-aws-bedrock-now-guide-for-indian-businesses\/\">OpenAI GPT-5.6 Sol Terra Luna Launched on AWS Bedrock<\/a>.<\/p>\n<\/p><\/div>\n<div style=\"background:linear-gradient(135deg,#25D366 0%,#128C7E 100%);border-radius:12px;padding:24px 28px;margin:32px 0;text-align:center;position:relative;z-index:1;\">\n<p style=\"color:#fff;font-family:'Montserrat',sans-serif;font-weight:800;font-size:1.15rem;margin:0 0 8px;\">Not sure which tool fits your business?<\/p>\n<p style=\"color:rgba(255,255,255,0.9);font-size:0.95rem;margin:0 0 16px;\">Our team at NaviGo Tech Solutions will set it up for you \u2014 free 30-minute strategy call.<\/p>\n<p>  <a href=\"https:\/\/wa.me\/916380853075?text=Hi%2C%20I%20read%20your%20blog%20and%20want%20a%20free%20strategy%20call\" target=\"_blank\" rel=\"noopener\" style=\"background:#fff;color:#128C7E;font-family:&#039;Montserrat&#039;,sans-serif;font-weight:800;padding:12px 28px;border-radius:50px;text-decoration:none;font-size:1rem;border-bottom:none;display:inline-block;\">WhatsApp Us Now \u2014 It&#8217;s Free<\/a>\n<\/div>\n<div class=\"navigo-faq-header\">\n<h2>Frequently Asked Questions<\/h2>\n<\/div>\n<details class=\"navigo-faq-details\">\n<summary class=\"navigo-faq-summary\">Is Grok on AWS Bedrock available for Indian businesses?<\/summary>\n<div class=\"navigo-faq-answer\">Yes, any business with an AWS account can access Grok 4.3 through Bedrock. The model is hosted in US regions. Indian firms can use it by selecting us-east-1 (N. Virginia) for the lowest latency from India. You need AWS credentials with Bedrock permissions to call the Mantle endpoint.<\/div>\n<\/details>\n<details class=\"navigo-faq-details\">\n<summary class=\"navigo-faq-summary\">How much does Grok on Bedrock cost for Indian firms?<\/summary>\n<div class=\"navigo-faq-answer\">Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens. For cached inputs, the rate drops to $0.20 per million tokens. If your request exceeds 200,000 tokens, pricing doubles. These rates are significantly lower than Claude Sonnet 4.6 and GPT-5.6, making Grok ideal for high-volume use cases.<\/div>\n<\/details>\n<details class=\"navigo-faq-details\">\n<summary class=\"navigo-faq-summary\">What is the Mantle engine and why does it matter?<\/summary>\n<div class=\"navigo-faq-answer\">Mantle is a new inference engine inside AWS Bedrock that supports an OpenAI-compatible API. Grok 4.3 runs exclusively on Mantle, not on the standard Bedrock runtime. This means you cannot use the InvokeModel or Converse API for Grok. Instead, you must use an OpenAI-compatible client pointed at the Mantle endpoint URL. The benefit is that if your team already uses OpenAI code, switching to Grok is very easy.<\/div>\n<\/details>\n<details class=\"navigo-faq-details\">\n<summary class=\"navigo-faq-summary\">What are the risks of using Grok for my Indian business?<\/summary>\n<div class=\"navigo-faq-answer\">There are three main risks. First, Grok 4.3 shows a non-hallucination regression, meaning it can produce confident wrong answers. Second, xAI is restructuring (merged into SpaceX, key founders left), creating vendor risk. Third, the model&#8217;s performance on Indian languages is not fully tested. Use guardrails, diversify your model stack, and run pilot tests before full deployment.<\/div>\n<\/details>\n<div class=\"navigo-footer\">\n<p>Grok on AWS Bedrock gives Indian firms a powerful, cost-effective AI option \u2014 but only if you handle its quirks. Get expert help deploying AI agents that actually work for your business.<\/p>\n<p><a href=\"https:\/\/navigotechsolutions.com\/contact.html\" target=\"_blank\">WhatsApp Us Now \u2014 It&#8217;s Free \u2014 NaviGo Tech Solutions<\/a><\/p>\n<\/p><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Grok 4.3 is now on AWS Bedrock. Indian firms can use it for AI agents and automation. Learn pricing, setup, and risks before you deploy.<\/p>\n","protected":false},"author":1,"featured_media":2158,"comment_status":"open","ping_status":"open","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":""}},"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[216],"tags":[362,384,285,950,1161,1369,645,1413,1411,1412],"class_list":["post-2161","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-tools","tag-ai-agents","tag-ai-automation","tag-ai-for-indian-businesses","tag-ai-inference","tag-ai-pricing","tag-aws-bedrock","tag-enterprise-ai","tag-grok-4-3","tag-grok-on-aws-bedrock","tag-xai"],"jetpack_featured_media_url":"https:\/\/navigotechsolutions.com\/blog\/wp-content\/uploads\/2026\/07\/grok-on-aws-bedrock.jpg","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/navigotechsolutions.com\/blog\/wp-json\/wp\/v2\/posts\/2161","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/navigotechsolutions.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/navigotechsolutions.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/navigotechsolutions.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/navigotechsolutions.com\/blog\/wp-json\/wp\/v2\/comments?post=2161"}],"version-history":[{"count":1,"href":"https:\/\/navigotechsolutions.com\/blog\/wp-json\/wp\/v2\/posts\/2161\/revisions"}],"predecessor-version":[{"id":2162,"href":"https:\/\/navigotechsolutions.com\/blog\/wp-json\/wp\/v2\/posts\/2161\/revisions\/2162"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/navigotechsolutions.com\/blog\/wp-json\/wp\/v2\/media\/2158"}],"wp:attachment":[{"href":"https:\/\/navigotechsolutions.com\/blog\/wp-json\/wp\/v2\/media?parent=2161"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/navigotechsolutions.com\/blog\/wp-json\/wp\/v2\/categories?post=2161"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/navigotechsolutions.com\/blog\/wp-json\/wp\/v2\/tags?post=2161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}