{"id":521309,"date":"2026-06-24T23:30:00","date_gmt":"2026-06-25T06:30:00","guid":{"rendered":"https:\/\/jorgep.com\/blog\/?p=521309"},"modified":"2026-06-26T16:33:07","modified_gmt":"2026-06-26T23:33:07","slug":"the-most-expensive-model-o1-pro-deep-reasoning","status":"publish","type":"post","link":"https:\/\/jorgep.com\/blog\/the-most-expensive-model-o1-pro-deep-reasoning\/","title":{"rendered":"The Most Expensive Model: o1-Pro Deep Reasoning"},"content":{"rendered":"\n<div class=\"wp-block-columns has-theme-palette-7-background-color has-background is-layout-flex wp-container-core-columns-is-layout-5dc627e1 wp-block-columns-is-layout-flex\" style=\"margin-top:0;margin-bottom:0\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:80%\">\n<p class=\"wp-block-paragraph\">Part of: <strong> <a href=\"https:\/\/jorgep.com\/blog\/series-ai-learnings\/\">AI Learning Series Here<\/a><\/strong><\/p>\n\n\n<style>.kadence-column395113_d80c79-ac > .kt-inside-inner-col,.kadence-column395113_d80c79-ac > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_d80c79-ac > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_d80c79-ac > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_d80c79-ac > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_d80c79-ac > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_d80c79-ac{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_d80c79-ac > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_d80c79-ac > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_d80c79-ac\"><div class=\"kt-inside-inner-col\"><style>.kadence-column510545_44b637-b5 > .kt-inside-inner-col{padding-top:var(--global-kb-spacing-xs, 1rem);padding-bottom:var(--global-kb-spacing-xs, 1rem);}.kadence-column510545_44b637-b5 > .kt-inside-inner-col,.kadence-column510545_44b637-b5 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column510545_44b637-b5 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column510545_44b637-b5 > .kt-inside-inner-col{flex-direction:column;}.kadence-column510545_44b637-b5 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column510545_44b637-b5 > .kt-inside-inner-col{background-color:var(--global-palette7, #EDF2F7);}.kadence-column510545_44b637-b5:hover > .kt-inside-inner-col{background-color:var(--global-palette8, #F7FAFC);background-image:none;}.kadence-column510545_44b637-b5 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column510545_44b637-b5{position:relative;}@media all and (max-width: 1024px){.kadence-column510545_44b637-b5 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column510545_44b637-b5 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column510545_44b637-b5\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading510545_f7c5f8-ed, .wp-block-kadence-advancedheading.kt-adv-heading510545_f7c5f8-ed[data-kb-block=\"kb-adv-heading510545_f7c5f8-ed\"]{text-align:center;font-size:var(--global-kb-font-size-md, 1.25rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading510545_f7c5f8-ed mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading510545_f7c5f8-ed[data-kb-block=\"kb-adv-heading510545_f7c5f8-ed\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading510545_f7c5f8-ed img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading510545_f7c5f8-ed[data-kb-block=\"kb-adv-heading510545_f7c5f8-ed\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading510545_f7c5f8-ed wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading510545_f7c5f8-ed\">Quick Links:&nbsp;<a href=\"https:\/\/jorgep.com\/blog\/resources-for-learning-ai\/\">Resources for Learning AI<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/keeping-up-with-ai\/\">Keep up with AI<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/list-of-ai-tools\/\" data-type=\"post\" data-id=\"402818\">List of AI Tools<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/local-ai-series\/\" data-type=\"page\" data-id=\"519365\">Local AI<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/tag\/ai-agents\/\" data-type=\"post_tag\" data-id=\"941\">AI Agents<\/a> |  <a href=\"https:\/\/jorgep.com\/blog\/work-beyond-tomorrow-series\/\" data-type=\"page\" data-id=\"365001\">Future of Work<\/a><\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n<style>.kb-row-layout-id395113_37ca8f-6a > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id395113_37ca8f-6a > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id395113_37ca8f-6a > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-none, 0rem );padding-top:var(--global-kb-spacing-xxs, 0.5rem);padding-bottom:var(--global-kb-spacing-xxs, 0.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id395113_37ca8f-6a > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id395113_37ca8f-6a > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id395113_37ca8f-6a > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id395113_37ca8f-6a alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column395113_c82018-3d > .kt-inside-inner-col,.kadence-column395113_c82018-3d > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_c82018-3d > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_c82018-3d > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_c82018-3d > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_c82018-3d > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_c82018-3d{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_c82018-3d > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_c82018-3d > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_c82018-3d\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading395113_e5d4ac-c4, .wp-block-kadence-advancedheading.kt-adv-heading395113_e5d4ac-c4[data-kb-block=\"kb-adv-heading395113_e5d4ac-c4\"]{text-align:center;font-size:var(--global-kb-font-size-sm, 0.9rem);line-height:60px;font-style:normal;background-color:#f5a511;}.wp-block-kadence-advancedheading.kt-adv-heading395113_e5d4ac-c4 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading395113_e5d4ac-c4[data-kb-block=\"kb-adv-heading395113_e5d4ac-c4\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading395113_e5d4ac-c4 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading395113_e5d4ac-c4[data-kb-block=\"kb-adv-heading395113_e5d4ac-c4\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading395113_e5d4ac-c4 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading395113_e5d4ac-c4\">Subscribe to <a href=\"https:\/\/go.35s.be\/jtb\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>JorgeTechBits  newsletter<\/strong><\/a><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column395113_d9a706-67 > .kt-inside-inner-col,.kadence-column395113_d9a706-67 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_d9a706-67 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_d9a706-67 > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_d9a706-67 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_d9a706-67 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_d9a706-67{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_d9a706-67 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_d9a706-67 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_d9a706-67\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading395113_b17cf5-33, .wp-block-kadence-advancedheading.kt-adv-heading395113_b17cf5-33[data-kb-block=\"kb-adv-heading395113_b17cf5-33\"]{text-align:center;font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading395113_b17cf5-33 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading395113_b17cf5-33[data-kb-block=\"kb-adv-heading395113_b17cf5-33\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading395113_b17cf5-33 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading395113_b17cf5-33[data-kb-block=\"kb-adv-heading395113_b17cf5-33\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading395113_b17cf5-33 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading395113_b17cf5-33\">Explore the <a href=\"https:\/\/jorgep.com\/blog\/latest-token-prices\/\" data-type=\"page\" data-id=\"521255\">Latest Token Prices<\/a><\/p>\n<\/div><\/div>\n\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><a href=\"htthttps:\/\/jorgep.com\/blog\/book-dont-just-chat-delegate\/\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"1024\" src=\"https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-640x1024.jpg\" alt=\"\" class=\"wp-image-520234\" style=\"aspect-ratio:0.6250142320391666;width:98px;height:auto\" srcset=\"https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-640x1024.jpg 640w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-188x300.jpg 188w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-768x1229.jpg 768w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-960x1536.jpg 960w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-1280x2048.jpg 1280w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01.jpg 1600w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><figcaption class=\"wp-element-caption\"><a href=\"https:\/\/jorgep.com\/blog\/book-series-ai-dont-just-chat\/\" data-type=\"page\" data-id=\"520242\">Check out the Book Series<\/a><\/figcaption><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9, .wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9[data-kb-block=\"kb-adv-heading519190_b33a00-c9\"]{font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9[data-kb-block=\"kb-adv-heading519190_b33a00-c9\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9[data-kb-block=\"kb-adv-heading519190_b33a00-c9\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading519190_b33a00-c9 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading519190_b33a00-c9\"><strong>Disclaimer:<\/strong> <strong>I create this content entirely on my own time, and the views expressed here are mine alone (not my employer&#8217;s)<\/strong>. Because I love leveraging new tech, I use AI tools like Gemini, NotebookLM, Claude, Perplexity and others as a &#8220;digital team&#8221; to help research and polish these articles so I can share the best possible insights with you!<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The AI landscape has shifted from a race for sheer size to a race for deep reasoning. In this new era, one model stands alone as an absolute financial and computational outlier: <strong>OpenAI&#8217;s o1-Pro<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As of June 2026, priced at a &#8220;reasonable&#8221; &#8211; just kidding &#8211; an astronomical <strong>$150.00 per million input tokens and $600.00 per million output tokens<\/strong>, o1-Pro remains the single most expensive model on the market. It is an engineering marvel that defies standard pricing floors, serving not as a casual chatbot, but as the AI ecosystem\u2019s highest-paid specialist.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Origin: Breaking the Scaling Laws<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">When OpenAI initially introduced the o1 architecture to the public via a premium $200\/month ChatGPT Pro tier, it was a massive departure from standard LLMs. On <strong>March 19, 2025<\/strong>, OpenAI officially released the o1-Pro model to developers via the API, making its jaw-dropping price tag reality.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Before the o-series, the industry was obsessed with making models cheaper, faster, and more lightweight. OpenAI pivoted by introducing a new paradigm: <strong>inference-time compute<\/strong>. Instead of predicting the next word as fast as possible, o1-Pro is trained via heavy reinforcement learning to map out internal &#8220;chains of thought,&#8221; formulate test hypotheses, spot its own logical errors, and correct itself <em>before<\/em> returning a single line of text to the user.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The &#8220;Pro&#8221; suffix means that the model is unlocked to use maximum reinforcement learning parameters\u2014essentially forcing OpenAI&#8217;s data centers to crunch numbers exponentially harder for a single query.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What It\u2019s Intended For: The Ultra-High-Stakes Domain<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Because a single large prompt sequence can easily cost <strong>$10 to $30 per turn<\/strong>, nobody uses o1-Pro to draft emails, summarize short articles, or write generic boilerplate code. If you try to use it for standard daily workflows, it behaves like a financial black hole.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Instead, o1-Pro was built to function like an elite, high-end consultant brought in only when a team is completely stuck. Its intended use cases are strictly defined by high complexity and zero room for error:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Massive Codebase Bug Hunting:<\/strong> While standard models stumble when handed complex, multi-file code dependencies, developers feed o1-Pro entire 100,000-token repositories. It is uniquely capable of maintaining macro-level logical consistency, mapping out implicit code interactions, and isolating subtle architectural flaws that human engineers have missed for days.<\/li>\n\n\n\n<li><strong>Cryptographic &amp; Advanced Mathematics:<\/strong> Traditional LLMs famously fail at complex logic and math. o1-Pro handles advanced mathematical proofs, data-science matrix modeling, and smart contract audit checks where a single character error could result in a multi-million dollar exploit.<\/li>\n\n\n\n<li><strong>Biochemical &amp; Scientific Research:<\/strong> It is heavily utilized by research institutions to synthesize complex data patterns, parse dense scientific literature, and assist in molecular formulation logic.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">The Real-World Sentiment: A Cold, Brutal Weapon<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The developer community views o1-Pro with a mix of awe and deep financial anxiety. Its popularity isn&#8217;t measured in high query volumes, but in its reputation as a fallback safety net.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">On developer forums and Hacker News, the general consensus is split into two clear camps:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><em>&#8220;If you&#8217;re in the habit of breaking down problems into small, bite-sized pieces for Claude Sonnet, you won&#8217;t see the benefit. The win is that o1-Pro lets you stop breaking down problems one level up from what you&#8217;re used to. You hand it the macro-problem, and it just figures it out.&#8221;<\/em><\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Conversely, the model frustrates users who prefer fast, conversational iteration. Because it must complete its massive hidden reasoning chain before returning any text, <strong>it does not support traditional streaming.<\/strong> Users are forced to stare at a loading spinner for 30 to 60 seconds while paying premium rates for invisible &#8220;thinking tokens&#8221; they aren&#8217;t even allowed to read.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Future of the High-End Token<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As we cross into the second half of 2026, the era of ultra-expensive standalone reasoning models is reaching an evolutionary crossroads. The industry is rapidly learning that raw, unconstrained price tags cannot scale infinitely for production applications.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">OpenAI&#8217;s broader model trajectory is already absorbing these reinforcement learning breakthroughs directly into the flagship families, such as the <strong>GPT-5.4 and GPT-5.5 Pro<\/strong> tiers. These newer models scale the cost structure down significantly (to roughly $30 input \/ $180 output) while opening up massive 1-million-token context windows and native &#8220;computer use&#8221; autonomous capabilities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ultimately, o1-Pro will be remembered as the legendary pioneer that proved AI could actively <em>think<\/em> rather than just mimic. It established the ceiling for what machine reasoning could achieve when budget is no object\u2014and it remains the ultimate secret weapon in a developer&#8217;s toolkit, waiting quietly on standby for a problem hard enough to justify its cost.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The AI landscape has shifted from a race for sheer size to a race for deep reasoning. In this new era, one model stands alone as an absolute financial and computational outlier: OpenAI&#8217;s o1-Pro. As of June 2026, priced at a &#8220;reasonable&#8221; &#8211; just kidding &#8211; an astronomical $150.00 per million input tokens and $600.00&#8230;<\/p>\n","protected":false},"author":2,"featured_media":521103,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","ngg_post_thumbnail":0,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[1031],"tags":[930,893,1017],"class_list":["post-521309","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-learnings-series","tag-ai-series","tag-openai","tag-tokens"],"taxonomy_info":{"category":[{"value":1031,"label":"AI Learnings Series"}],"post_tag":[{"value":930,"label":"AI Series"},{"value":893,"label":"openai"},{"value":1017,"label":"Tokens"}]},"featured_image_src_large":["https:\/\/jorgep.com\/blog\/wp-content\/uploads\/FeaturedImage-TokenEcomonics.jpg",1000,375,false],"author_info":{"display_name":"Jorge Pereira","author_link":"https:\/\/jorgep.com\/blog\/author\/jorge\/"},"comment_info":0,"category_info":[{"term_id":1031,"name":"AI Learnings Series","slug":"ai-learnings-series","term_group":0,"term_taxonomy_id":1041,"taxonomy":"category","description":"","parent":0,"count":38,"filter":"raw","cat_ID":1031,"category_count":38,"category_description":"","cat_name":"AI Learnings Series","category_nicename":"ai-learnings-series","category_parent":0}],"tag_info":[{"term_id":930,"name":"AI Series","slug":"ai-series","term_group":0,"term_taxonomy_id":940,"taxonomy":"post_tag","description":"","parent":0,"count":212,"filter":"raw"},{"term_id":893,"name":"openai","slug":"openai","term_group":0,"term_taxonomy_id":903,"taxonomy":"post_tag","description":"","parent":0,"count":4,"filter":"raw"},{"term_id":1017,"name":"Tokens","slug":"tokens","term_group":0,"term_taxonomy_id":1027,"taxonomy":"post_tag","description":"","parent":0,"count":5,"filter":"raw"}],"_links":{"self":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/521309","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/comments?post=521309"}],"version-history":[{"count":1,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/521309\/revisions"}],"predecessor-version":[{"id":521310,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/521309\/revisions\/521310"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/media\/521103"}],"wp:attachment":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/media?parent=521309"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/categories?post=521309"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/tags?post=521309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}