{"id":7554,"date":"2026-07-22T15:34:04","date_gmt":"2026-07-22T10:04:04","guid":{"rendered":"https:\/\/www.stanventures.com\/news\/?p=7554"},"modified":"2026-07-22T15:41:22","modified_gmt":"2026-07-22T10:11:22","slug":"google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber","status":"publish","type":"post","link":"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/","title":{"rendered":"Google Launches Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber"},"content":{"rendered":"<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Montserrat:wght@600;700;800;900&#038;family=Roboto:wght@400;500;700&#038;display=swap\" rel=\"stylesheet\">\n<div style=\"box-sizing:border-box;width:100%;max-width:896px;margin:0 auto;overflow-x:hidden;font-family:'Roboto',Arial,sans-serif;color:#243044;line-height:1.6;\">\n<p><!-- HERO --><\/p>\n<div style=\"box-sizing:border-box;background:#EDF0F6;border:1px solid #E2E6EE;border-radius:16px;padding:60px 40px 52px;margin-bottom:32px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#F15A24;margin:0 0 14px;\">Google AI Update &bull; July 21, 2026<\/div>\n<h1 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#1A2B47;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;margin:0 0 18px;\">Google Launches Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber<\/h1>\n<p style=\"font-size:1.05rem;color:#5E6A7D;max-width:70ch;margin:0;\">Three new models in one day. Lower prices across the board. And one line most people scrolled past: 3.5 Flash-Lite is rolling out inside Google Search. Here is what shipped, what the benchmarks say, and why search teams should care.<\/p>\n<\/div>\n<p><!-- KEY TAKEAWAYS --><\/p>\n<div style=\"box-sizing:border-box;background:#F5F5F5;border-radius:16px;padding:40px;margin:28px 0;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#F15A24;margin:0 0 10px;\">TL;DR<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\"><\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/#key-takeaways\" >Key Takeaways<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/#three-models-dropped-in-a-single-post\" >Three Models Dropped in a Single Post<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/#three-models-three-very-different-jobs\" >Three Models, Three Very Different Jobs<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/#the-new-workhorse-does-more-while-writing-less\" >The New Workhorse Does More While Writing Less<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/#built-for-speed-priced-for-volume\" >Built for Speed, Priced for Volume<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/#the-sentence-everyone-scrolled-past-flash-lite-is-now-inside-google-search\" >The Sentence Everyone Scrolled Past: Flash-Lite Is Now Inside Google Search<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/#what-the-new-models-cost-per-million-tokens\" >What the New Models Cost Per Million Tokens<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/#the-security-model-stays-behind-a-locked-door\" >The Security Model Stays Behind a Locked Door<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/#five-moves-for-agency-teams-this-week\" >Five Moves for Agency Teams This Week<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/#quick-answers-on-the-gemini-release\" >Quick Answers on the Gemini Release<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/#ai-search-keeps-getting-faster-keep-your-clients-cited\" >AI Search Keeps Getting Faster. Keep Your Clients Cited.<\/a><\/li><\/ul><\/nav><\/div>\n<h2 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#1A2B47;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;margin:0 0 18px;\"><span class=\"ez-toc-section\" id=\"key-takeaways\"><\/span>Key Takeaways<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul style=\"padding-left:20px;margin:0;max-width:84ch;\">\n<li style=\"margin-bottom:10px;font-size:1.02rem;\">Google released three Gemini models on July 21, 2026: 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber.<\/li>\n<li style=\"margin-bottom:10px;font-size:1.02rem;\">Gemini 3.6 Flash uses 17% fewer output tokens than 3.5 Flash and costs less, at $1.50 per million input tokens and $7.50 per million output tokens.<\/li>\n<li style=\"margin-bottom:10px;font-size:1.02rem;\">Gemini 3.5 Flash-Lite pushes 350 output tokens per second and is rolling out inside Google Search, where it handles agentic search.<\/li>\n<li style=\"margin-bottom:10px;font-size:1.02rem;\">Gemini 3.5 Flash Cyber is a security model locked to governments and trusted partners through a CodeMender pilot.<\/li>\n<li style=\"margin-bottom:10px;font-size:1.02rem;\">Gemini 3.5 Pro is in partner testing, and Google has started pre-training Gemini 4, which it calls its most ambitious run yet.<\/li>\n<li style=\"margin-bottom:0;font-size:1.02rem;\">Faster, cheaper models mean more AI answers per search. Being the cited source matters more than ever.<\/li>\n<\/ul>\n<\/div>\n<p><!-- AT A GLANCE --><\/p>\n<div style=\"box-sizing:border-box;padding:40px 8px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#F15A24;margin:0 0 10px;\">The Release<\/div>\n<h2 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#1A2B47;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;margin:0 0 18px;\"><span class=\"ez-toc-section\" id=\"three-models-dropped-in-a-single-post\"><\/span>Three Models Dropped in a Single Post<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 16px;\">Google did not stagger these launches. On July 21, product lead Tulsee Doshi pushed all three models live in <a href=\"https:\/\/blog.google\/innovation-and-ai\/models-and-research\/gemini-models\/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber\/\" target=\"_blank\" rel=\"noopener\" style=\"color:#F15A24;font-weight:500;\">a single announcement on The Keyword<\/a>, with two teasers buried at the end: Gemini 3.5 Pro is in partner testing, and pre-training has started on Gemini 4.<\/p>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 16px;\">The stated goal is blunt. Teams building production AI agents need cheaper tokens, lower latency and fewer failures. The Flash line is Google&#8217;s answer, and the headline numbers back it up.<\/p>\n<div style=\"display:flex;flex-wrap:wrap;gap:16px;margin:24px 0 0;\">\n<div style=\"flex:1 1 200px;min-width:0;box-sizing:border-box;background:#FFF0EA;border:1px solid #FBD9C9;border-radius:14px;padding:26px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:900;font-size:2.4rem;color:#F15A24;line-height:1;\">3<\/div>\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.78rem;letter-spacing:0.04em;text-transform:uppercase;color:#F15A24;margin-top:6px;\">Models in One Day<\/div>\n<div style=\"font-size:0.9rem;color:#5E6A7D;margin-top:10px;\">3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber, all announced July 21.<\/div>\n<\/div>\n<div style=\"flex:1 1 200px;min-width:0;box-sizing:border-box;background:#FFF0EA;border:1px solid #FBD9C9;border-radius:14px;padding:26px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:900;font-size:2.4rem;color:#F15A24;line-height:1;\">17%<\/div>\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.78rem;letter-spacing:0.04em;text-transform:uppercase;color:#F15A24;margin-top:6px;\">Fewer Output Tokens<\/div>\n<div style=\"font-size:0.9rem;color:#5E6A7D;margin-top:10px;\">3.6 Flash vs. 3.5 Flash on the Artificial Analysis Index. Up to 65% fewer on DeepSWE.<\/div>\n<\/div>\n<div style=\"flex:1 1 200px;min-width:0;box-sizing:border-box;background:#FFF0EA;border:1px solid #FBD9C9;border-radius:14px;padding:26px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:900;font-size:2.4rem;color:#F15A24;line-height:1;\">350<\/div>\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.78rem;letter-spacing:0.04em;text-transform:uppercase;color:#F15A24;margin-top:6px;\">Tokens Per Second<\/div>\n<div style=\"font-size:0.9rem;color:#5E6A7D;margin-top:10px;\">3.5 Flash-Lite output speed. The fastest model in the 3.5 series.<\/div>\n<\/div>\n<div style=\"flex:1 1 200px;min-width:0;box-sizing:border-box;background:#FFF0EA;border:1px solid #FBD9C9;border-radius:14px;padding:26px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:900;font-size:2.4rem;color:#F15A24;line-height:1;\">83%<\/div>\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.78rem;letter-spacing:0.04em;text-transform:uppercase;color:#F15A24;margin-top:6px;\">OSWorld-Verified<\/div>\n<div style=\"font-size:0.9rem;color:#5E6A7D;margin-top:10px;\">3.6 Flash computer use score, up from 78.4% on 3.5 Flash.<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p><!-- THREE MODELS --><\/p>\n<div style=\"box-sizing:border-box;background:#F5F5F5;border-radius:16px;padding:40px;margin:28px 0;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#F15A24;margin:0 0 10px;\">The Lineup<\/div>\n<h2 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#1A2B47;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;margin:0 0 18px;\"><span class=\"ez-toc-section\" id=\"three-models-three-very-different-jobs\"><\/span>Three Models, Three Very Different Jobs<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 20px;\">Each model targets a distinct workload. One does the heavy thinking, one does the high-volume grunt work, and one is deliberately kept out of public hands.<\/p>\n<div style=\"display:flex;flex-wrap:wrap;gap:16px;\">\n<div style=\"flex:1 1 240px;min-width:0;box-sizing:border-box;background:#fff;border:1px solid #E2E6EE;border-radius:12px;padding:24px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:0.8rem;letter-spacing:0.04em;color:#F15A24;margin-bottom:8px;\">MODEL 01<\/div>\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1.1rem;color:#1A2B47;margin:0 0 10px;\">Gemini 3.6 Flash<\/h3>\n<p style=\"font-size:0.95rem;color:#5E6A7D;margin:0;\">The workhorse. Better coding, knowledge work and multimodal performance than 3.5 Flash, with computer use now built in as a client-side tool. Cheaper per token, and it uses fewer of them.<\/p>\n<\/div>\n<div style=\"flex:1 1 240px;min-width:0;box-sizing:border-box;background:#fff;border:1px solid #E2E6EE;border-radius:12px;padding:24px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:0.8rem;letter-spacing:0.04em;color:#F15A24;margin-bottom:8px;\">MODEL 02<\/div>\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1.1rem;color:#1A2B47;margin:0 0 10px;\">Gemini 3.5 Flash-Lite<\/h3>\n<p style=\"font-size:0.95rem;color:#5E6A7D;margin:0;\">The volume play. Built for low-latency, high-throughput jobs like agentic search and document processing. It is the model now rolling out inside Google Search.<\/p>\n<\/div>\n<div style=\"flex:1 1 240px;min-width:0;box-sizing:border-box;background:#1A2B47;border:1px solid #1A2B47;border-radius:12px;padding:24px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:0.8rem;letter-spacing:0.04em;color:#F15A24;margin-bottom:8px;\">MODEL 03<\/div>\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1.1rem;color:#fff;margin:0 0 10px;\">Gemini 3.5 Flash Cyber<\/h3>\n<p style=\"font-size:0.95rem;color:#9AA4B2;margin:0;\">The locked one. Fine-tuned to find and patch code vulnerabilities inside the CodeMender agent. Restricted to governments and trusted partners in a limited pilot.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!-- 3.6 FLASH DEEP --><\/p>\n<div style=\"box-sizing:border-box;padding:40px 8px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#F15A24;margin:0 0 10px;\">Gemini 3.6 Flash<\/div>\n<h2 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#1A2B47;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;margin:0 0 18px;\"><span class=\"ez-toc-section\" id=\"the-new-workhorse-does-more-while-writing-less\"><\/span>The New Workhorse Does More While Writing Less<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 16px;\">Gemini 3.6 Flash is the follow-up to the 3.5 Flash model Google shipped at I\/O in May, and the pitch is unusual for an AI launch: it gets better by being quieter. Per the <a href=\"https:\/\/artificialanalysis.ai\/models\/gemini-3-6-flash\" target=\"_blank\" rel=\"noopener\" style=\"color:#F15A24;font-weight:500;\">Artificial Analysis Index<\/a>, 3.6 Flash consumes 17% fewer output tokens than 3.5 Flash. On Datacurve&#8217;s DeepSWE coding benchmark, Google observed cuts of up to 65%.<\/p>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 16px;\">It also takes fewer reasoning steps and fewer tool calls to finish multi-step work. Stack that on a price cut, output pricing dropped from $9 to $7.50 per million tokens, and the cost of a finished agent task falls twice over.<\/p>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 8px;\">Here is how the two models compare on the benchmarks Google published. OSWorld-Verified is the one to watch, since it measures how well a model drives a computer on its own.<\/p>\n<div style=\"box-sizing:border-box;border:1px solid #E2E6EE;border-radius:14px;overflow:hidden;background:#fff;margin-top:24px;\">\n<div style=\"display:flex;align-items:stretch;background:#1A2B47;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">Benchmark<\/div>\n<div style=\"flex:0 0 34%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">What It Measures<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">3.5 Flash<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">3.6 Flash<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#fff;border-top:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:500;color:#1A2B47;\">DeepSWE<\/div>\n<div style=\"flex:0 0 34%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#5E6A7D;\">Production-grade coding precision<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">37%<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:700;color:#243044;\">49%<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#FAFBFC;border-top:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:500;color:#1A2B47;\">MLE Bench<\/div>\n<div style=\"flex:0 0 34%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#5E6A7D;\">Machine learning research tasks<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">49.7%<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:700;color:#243044;\">63.9%<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#FFF0EA;border-top:2px solid #FBD9C9;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:700;color:#1A2B47;\">OSWorld-Verified<\/div>\n<div style=\"flex:0 0 34%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#5E6A7D;\">Computer use, the skill behind agentic search<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">78.4%<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:800;color:#F15A24;\">83.0%<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#fff;border-top:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:500;color:#1A2B47;\">GDPval-AA v2<\/div>\n<div style=\"flex:0 0 34%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#5E6A7D;\">Real-world knowledge work<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">1349<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:700;color:#243044;\">1421<\/div>\n<\/div>\n<\/div>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:24px 0 16px;\">Early production users include Figma, JetBrains, Harvey and Hebbia. The last two singled out document parsing, chart analysis and report drafting, the exact multimodal chores that eat analyst hours.<\/p>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0;\">One more detail worth noting: 3.6 Flash ships with tighter Frontier Safety guardrails around chemical, biological, radiological, nuclear and cyber misuse. Google says it resists jailbreaks better than its predecessor while refusing fewer harmless requests.<\/p>\n<\/div>\n<p><!-- FLASH-LITE --><\/p>\n<div style=\"box-sizing:border-box;background:#F5F5F5;border-radius:16px;padding:40px;margin:28px 0;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#F15A24;margin:0 0 10px;\">Gemini 3.5 Flash-Lite<\/div>\n<h2 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#1A2B47;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;margin:0 0 18px;\"><span class=\"ez-toc-section\" id=\"built-for-speed-priced-for-volume\"><\/span>Built for Speed, Priced for Volume<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 16px;\">Flash-Lite is the model that runs all day. At 350 output tokens per second it is the fastest in the 3.5 series, and at $0.30 per million input tokens and $2.50 per million output tokens, it is priced for constant workloads: agentic search, document processing, product feed extraction.<\/p>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 8px;\">Developers can dial thinking levels down for cheap, fast execution or up for multi-step subagent work, and computer use is built in. Against the 3.1 Flash-Lite it replaces, the jump is not subtle.<\/p>\n<div style=\"box-sizing:border-box;border:1px solid #E2E6EE;border-radius:14px;overflow:hidden;background:#fff;margin-top:24px;\">\n<div style=\"display:flex;align-items:stretch;background:#1A2B47;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">Benchmark<\/div>\n<div style=\"flex:0 0 34%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">What It Measures<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">3.1 Lite<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">3.5 Lite<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#fff;border-top:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:500;color:#1A2B47;\">Terminal-Bench 2.1<\/div>\n<div style=\"flex:0 0 34%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#5E6A7D;\">Coding and agentic tasks<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">31%<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:700;color:#243044;\">54%<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#FAFBFC;border-top:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:500;color:#1A2B47;\">GDM-MRCR v2<\/div>\n<div style=\"flex:0 0 34%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#5E6A7D;\">Long context recall<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">60.1%<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:700;color:#243044;\">72.2%<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#FFF0EA;border-top:2px solid #FBD9C9;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:700;color:#1A2B47;\">GDPval-AA v2<\/div>\n<div style=\"flex:0 0 34%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#5E6A7D;\">Real-world task execution<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">642<\/div>\n<div style=\"flex:0 0 18%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:800;color:#F15A24;\">1140<\/div>\n<\/div>\n<\/div>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:24px 0 8px;\">The more surprising result: on several agentic and coding tests, this Lite model beats the bigger Gemini 3 Flash outright.<\/p>\n<div style=\"box-sizing:border-box;border:1px solid #E2E6EE;border-radius:14px;overflow:hidden;background:#fff;margin-top:16px;\">\n<div style=\"display:flex;align-items:stretch;background:#1A2B47;\">\n<div style=\"flex:0 0 40%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">Benchmark<\/div>\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">Gemini 3 Flash<\/div>\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">3.5 Flash-Lite<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#fff;border-top:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 40%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:500;color:#1A2B47;\">SWE-Bench Pro<\/div>\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">49.6%<\/div>\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:700;color:#F15A24;\">54.2%<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#FAFBFC;border-top:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 40%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:500;color:#1A2B47;\">OSWorld-Verified<\/div>\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">65.1%<\/div>\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:700;color:#F15A24;\">74.0%<\/div>\n<\/div>\n<\/div>\n<div style=\"box-sizing:border-box;background:#1A2B47;border-radius:14px;padding:28px 32px;display:flex;flex-wrap:wrap;align-items:center;gap:20px;margin-top:28px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:900;font-size:2.2rem;color:#F15A24;line-height:1;min-width:0;box-sizing:border-box;\">350\/s<\/div>\n<div style=\"flex:1 1 280px;min-width:0;box-sizing:border-box;font-size:0.98rem;color:#9AA4B2;\">Output speed of 3.5 Flash-Lite, per Artificial Analysis. That throughput is what makes running AI answers across billions of daily searches affordable for Google.<\/div>\n<\/div>\n<\/div>\n<p><!-- SEARCH ANGLE --><\/p>\n<div style=\"box-sizing:border-box;padding:40px 8px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#F15A24;margin:0 0 10px;\">The SEO Angle<\/div>\n<h2 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#1A2B47;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;margin:0 0 18px;\"><span class=\"ez-toc-section\" id=\"the-sentence-everyone-scrolled-past-flash-lite-is-now-inside-google-search\"><\/span>The Sentence Everyone Scrolled Past: Flash-Lite Is Now Inside Google Search<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 16px;\">Most coverage led with benchmarks. Barry Schwartz at <a href=\"https:\/\/searchengineland.com\/3-5-flash-lite-rolling-out-in-google-search-482893\" target=\"_blank\" rel=\"noopener\" style=\"color:#F15A24;font-weight:500;\">Search Engine Land<\/a> led with the line that matters for anyone who earns traffic from Google: 3.5 Flash-Lite is rolling out in Google Search, starting with agentic search. He also notes it could extend to AI Overviews and AI Mode, though Google has not spelled out the full footprint.<\/p>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 16px;\">For context, Gemini 3.5 Flash has powered AI Mode globally since I\/O in May. So the model behind Google&#8217;s AI answers has now been upgraded twice in about nine weeks. That cadence is the real story.<\/p>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 20px;\">Each upgrade makes AI answers cheaper and faster to generate. Cheaper answers mean Google can afford to trigger them on more queries. Faster retrieval means the model reads, judges and quotes pages in milliseconds, and it favors pages it can lift from cleanly. Ecommerce sites building for <a href=\"https:\/\/www.stanventures.com\/blog\/agentic-commerce-seo\/\" style=\"color:#F15A24;font-weight:500;\">AI buying agents<\/a> are already living this shift.<\/p>\n<div style=\"display:flex;flex-wrap:wrap;gap:16px;\">\n<div style=\"flex:1 1 240px;min-width:0;box-sizing:border-box;background:#fff;border:1px solid #E2E6EE;border-radius:12px;padding:24px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:0.8rem;letter-spacing:0.04em;color:#F15A24;margin-bottom:8px;\">SIGNAL 01<\/div>\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1.1rem;color:#1A2B47;margin:0 0 10px;\">More Queries Get AI Answers<\/h3>\n<p style=\"font-size:0.95rem;color:#5E6A7D;margin:0;\">When the cost per answer drops, the economics flip. Expect AI treatment on long-tail searches that never triggered it before.<\/p>\n<\/div>\n<div style=\"flex:1 1 240px;min-width:0;box-sizing:border-box;background:#fff;border:1px solid #E2E6EE;border-radius:12px;padding:24px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:0.8rem;letter-spacing:0.04em;color:#F15A24;margin-bottom:8px;\">SIGNAL 02<\/div>\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1.1rem;color:#1A2B47;margin:0 0 10px;\">Retrieval Rewards Structure<\/h3>\n<p style=\"font-size:0.95rem;color:#5E6A7D;margin:0;\">A model pushing 350 tokens per second does not linger. Direct answers, tables and tight definitions get quoted. Buried conclusions get skipped.<\/p>\n<\/div>\n<div style=\"flex:1 1 240px;min-width:0;box-sizing:border-box;background:#fff;border:1px solid #E2E6EE;border-radius:12px;padding:24px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:0.8rem;letter-spacing:0.04em;color:#F15A24;margin-bottom:8px;\">SIGNAL 03<\/div>\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1.1rem;color:#1A2B47;margin:0 0 10px;\">Citations Beat Blue Links<\/h3>\n<p style=\"font-size:0.95rem;color:#5E6A7D;margin:0;\">Position one matters less when the answer box picks its own sources. Being the cited source is the visibility that survives a model swap.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!-- PRICING --><\/p>\n<div style=\"box-sizing:border-box;background:#F5F5F5;border-radius:16px;padding:40px;margin:28px 0;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#F15A24;margin:0 0 10px;\">Pricing<\/div>\n<h2 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#1A2B47;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;margin:0 0 18px;\"><span class=\"ez-toc-section\" id=\"what-the-new-models-cost-per-million-tokens\"><\/span>What the New Models Cost Per Million Tokens<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 8px;\">Token prices decide which workloads survive at scale. Both general-purpose models came in cheap, and one is not for sale at all.<\/p>\n<div style=\"box-sizing:border-box;border:1px solid #E2E6EE;border-radius:14px;overflow:hidden;background:#fff;margin-top:24px;\">\n<div style=\"display:flex;align-items:stretch;background:#1A2B47;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">Model<\/div>\n<div style=\"flex:0 0 20%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">Input<\/div>\n<div style=\"flex:0 0 20%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">Output<\/div>\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:600;font-size:0.72rem;letter-spacing:0.05em;text-transform:uppercase;\">Built For<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#FFF0EA;border-top:2px solid #FBD9C9;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:700;color:#1A2B47;\">Gemini 3.6 Flash<\/div>\n<div style=\"flex:0 0 20%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:800;color:#F15A24;\">$1.50<\/div>\n<div style=\"flex:0 0 20%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:800;color:#F15A24;\">$7.50<\/div>\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#5E6A7D;\">Coding, knowledge work, multimodal agents<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#fff;border-top:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:500;color:#1A2B47;\">Gemini 3.5 Flash-Lite<\/div>\n<div style=\"flex:0 0 20%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">$0.30<\/div>\n<div style=\"flex:0 0 20%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">$2.50<\/div>\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#5E6A7D;\">High-volume, low-latency agent tasks<\/div>\n<\/div>\n<div style=\"display:flex;align-items:stretch;background:#FAFBFC;border-top:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;font-weight:500;color:#1A2B47;\">Gemini 3.5 Flash Cyber<\/div>\n<div style=\"flex:0 0 20%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">Not public<\/div>\n<div style=\"flex:0 0 20%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#243044;\">Not public<\/div>\n<div style=\"flex:0 0 30%;min-width:0;box-sizing:border-box;padding:14px 16px;font-size:0.92rem;color:#5E6A7D;\">Vulnerability patching inside CodeMender<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p><!-- CYBER + NEXT --><\/p>\n<div style=\"box-sizing:border-box;padding:40px 8px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#F15A24;margin:0 0 10px;\">Flash Cyber and Beyond<\/div>\n<h2 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#1A2B47;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;margin:0 0 18px;\"><span class=\"ez-toc-section\" id=\"the-security-model-stays-behind-a-locked-door\"><\/span>The Security Model Stays Behind a Locked Door<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 16px;\">Gemini 3.5 Flash Cyber is a fine-tuned version of 3.5 Flash built to find, validate and patch code vulnerabilities. Inside CodeMender, multiple Flash Cyber agents work in parallel and merge their findings into one report, and the setup posts frontier-competitive scores on the CyberGym benchmark.<\/p>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 16px;\">Google is deliberately keeping this one off the open API. Access is limited to governments and trusted partners through a pilot program, the logic being that defenders should get a head start on patching before attackers get the same tooling.<\/p>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 16px;\">Two more headlines hide at the bottom of the announcement. Gemini 3.5 Pro is testing with partners and lands when it is ready. And pre-training has begun on Gemini 4.<\/p>\n<div style=\"box-sizing:border-box;background:#1A2B47;border-radius:14px;padding:28px 32px;display:flex;flex-wrap:wrap;align-items:center;gap:20px;margin-top:28px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:900;font-size:2.2rem;color:#F15A24;line-height:1;min-width:0;box-sizing:border-box;\">Gemini 4<\/div>\n<div style=\"flex:1 1 280px;min-width:0;box-sizing:border-box;font-size:0.98rem;color:#9AA4B2;\">Pre-training is underway on what Google calls its most ambitious run yet. The cadence that shipped three models in one July day is not slowing down, and neither is the pace of change inside Search.<\/div>\n<\/div>\n<\/div>\n<p><!-- CHECKLIST --><\/p>\n<div style=\"box-sizing:border-box;padding:40px 8px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#F15A24;margin:0 0 10px;\">Action Plan<\/div>\n<h2 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#1A2B47;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;margin:0 0 18px;\"><span class=\"ez-toc-section\" id=\"five-moves-for-agency-teams-this-week\"><\/span>Five Moves for Agency Teams This Week<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"font-size:1.02rem;color:#243044;max-width:84ch;margin:0 0 20px;\">None of this requires new tools. It requires checking a few things before the next client call.<\/p>\n<div style=\"display:flex;align-items:flex-start;gap:18px;padding:18px 0;border-bottom:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 36px;min-width:0;box-sizing:border-box;width:36px;height:36px;background:#F15A24;border-radius:50%;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:0.9rem;display:flex;align-items:center;justify-content:center;\">1<\/div>\n<div style=\"flex:1 1 auto;min-width:0;box-sizing:border-box;\">\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1rem;color:#1A2B47;margin:0 0 6px;\">Re-Run the Money Prompts<\/h3>\n<p style=\"font-size:0.98rem;color:#5E6A7D;margin:0;max-width:80ch;\">Take the ten queries each client cares about most and run them through AI Mode and the Gemini app. Log which domains get cited. Repeat in two weeks and compare.<\/p>\n<\/div>\n<\/div>\n<div style=\"display:flex;align-items:flex-start;gap:18px;padding:18px 0;border-bottom:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 36px;min-width:0;box-sizing:border-box;width:36px;height:36px;background:#F15A24;border-radius:50%;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:0.9rem;display:flex;align-items:center;justify-content:center;\">2<\/div>\n<div style=\"flex:1 1 auto;min-width:0;box-sizing:border-box;\">\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1rem;color:#1A2B47;margin:0 0 6px;\">Audit Crawl Access<\/h3>\n<p style=\"font-size:0.98rem;color:#5E6A7D;margin:0;max-width:80ch;\">Faster models fetch more. Check server logs for Google-Extended and other AI crawlers, and confirm robots.txt is not blocking the pages that should be cited.<\/p>\n<\/div>\n<\/div>\n<div style=\"display:flex;align-items:flex-start;gap:18px;padding:18px 0;border-bottom:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 36px;min-width:0;box-sizing:border-box;width:36px;height:36px;background:#F15A24;border-radius:50%;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:0.9rem;display:flex;align-items:center;justify-content:center;\">3<\/div>\n<div style=\"flex:1 1 auto;min-width:0;box-sizing:border-box;\">\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1rem;color:#1A2B47;margin:0 0 6px;\">Restructure Key Pages for Extraction<\/h3>\n<p style=\"font-size:0.98rem;color:#5E6A7D;margin:0;max-width:80ch;\">Give every priority page a direct answer up top, a comparison table where one fits, and definitions a model can quote without cleanup.<\/p>\n<\/div>\n<\/div>\n<div style=\"display:flex;align-items:flex-start;gap:18px;padding:18px 0;border-bottom:1px solid #E2E6EE;\">\n<div style=\"flex:0 0 36px;min-width:0;box-sizing:border-box;width:36px;height:36px;background:#F15A24;border-radius:50%;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:0.9rem;display:flex;align-items:center;justify-content:center;\">4<\/div>\n<div style=\"flex:1 1 auto;min-width:0;box-sizing:border-box;\">\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1rem;color:#1A2B47;margin:0 0 6px;\">Keep Earning Third-Party Mentions<\/h3>\n<p style=\"font-size:0.98rem;color:#5E6A7D;margin:0;max-width:80ch;\">AI systems weigh what trusted independent sites say about a brand. Reviews, roundups and contextual links on real publications feed the citation pool.<\/p>\n<\/div>\n<\/div>\n<div style=\"display:flex;align-items:flex-start;gap:18px;padding:18px 0;\">\n<div style=\"flex:0 0 36px;min-width:0;box-sizing:border-box;width:36px;height:36px;background:#F15A24;border-radius:50%;color:#fff;font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:0.9rem;display:flex;align-items:center;justify-content:center;\">5<\/div>\n<div style=\"flex:1 1 auto;min-width:0;box-sizing:border-box;\">\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1rem;color:#1A2B47;margin:0 0 6px;\">Treat the Rollout Like an Algorithm Update<\/h3>\n<p style=\"font-size:0.98rem;color:#5E6A7D;margin:0;max-width:80ch;\">A model swap inside Search can shift results the way a core update does. Track it alongside the confirmed changes in the <a href=\"https:\/\/www.stanventures.com\/blog\/google-algorithm-updates\/\" style=\"color:#F15A24;font-weight:500;\">Google algorithm updates log<\/a>.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!-- FAQ --><\/p>\n<div style=\"box-sizing:border-box;padding:40px 8px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#F15A24;margin:0 0 10px;\">FAQ<\/div>\n<h2 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#1A2B47;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;margin:0 0 18px;\"><span class=\"ez-toc-section\" id=\"quick-answers-on-the-gemini-release\"><\/span>Quick Answers on the Gemini Release<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div style=\"box-sizing:border-box;border:1px solid #E2E6EE;border-radius:12px;padding:22px 24px;margin-bottom:12px;background:#fff;\">\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1rem;color:#1A2B47;margin:0 0 8px;\">Is Gemini 3.6 Flash available today?<\/h3>\n<p style=\"font-size:0.95rem;color:#5E6A7D;margin:0;\">Yes. Developers get it through the Gemini API in Google AI Studio and Android Studio, plus Google Antigravity. Enterprises get it in the Gemini Enterprise Agent Platform, and everyone can pick it in the Gemini app.<\/p>\n<\/div>\n<div style=\"box-sizing:border-box;border:1px solid #E2E6EE;border-radius:12px;padding:22px 24px;margin-bottom:12px;background:#fff;\">\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1rem;color:#1A2B47;margin:0 0 8px;\">Which part of Google Search runs 3.5 Flash-Lite?<\/h3>\n<p style=\"font-size:0.95rem;color:#5E6A7D;margin:0;\">Google confirms agentic search. Search Engine Land reports it could extend to AI Overviews and AI Mode, but Google has not detailed the full footprint yet.<\/p>\n<\/div>\n<div style=\"box-sizing:border-box;border:1px solid #E2E6EE;border-radius:12px;padding:22px 24px;margin-bottom:12px;background:#fff;\">\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1rem;color:#1A2B47;margin:0 0 8px;\">How much cheaper is 3.6 Flash than 3.5 Flash?<\/h3>\n<p style=\"font-size:0.95rem;color:#5E6A7D;margin:0;\">Output pricing dropped from $9 to $7.50 per million tokens, input sits at $1.50, and the model uses 17% fewer output tokens on top. The saving compounds on every task.<\/p>\n<\/div>\n<div style=\"box-sizing:border-box;border:1px solid #E2E6EE;border-radius:12px;padding:22px 24px;margin-bottom:12px;background:#fff;\">\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1rem;color:#1A2B47;margin:0 0 8px;\">Can anyone use Gemini 3.5 Flash Cyber?<\/h3>\n<p style=\"font-size:0.95rem;color:#5E6A7D;margin:0;\">No. It is a security-tuned model that finds and patches code vulnerabilities inside the CodeMender agent, and access is a limited pilot for governments and trusted partners only.<\/p>\n<\/div>\n<div style=\"box-sizing:border-box;border:1px solid #E2E6EE;border-radius:12px;padding:22px 24px;margin-bottom:0;background:#fff;\">\n<h3 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1rem;color:#1A2B47;margin:0 0 8px;\">When do Gemini 3.5 Pro and Gemini 4 arrive?<\/h3>\n<p style=\"font-size:0.95rem;color:#5E6A7D;margin:0;\">Google says 3.5 Pro is testing with partners and ships when it is ready. Gemini 4 has started pre-training with no date attached.<\/p>\n<\/div>\n<\/div>\n<p><!-- CTA --><\/p>\n<div style=\"box-sizing:border-box;background-color:#F15A24;background-image:radial-gradient(rgba(255,255,255,0.22) 1.4px, transparent 1.5px);background-size:13px 13px;border-radius:16px;padding:56px 28px;margin:28px 0;text-align:center;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:0.74rem;letter-spacing:0.18em;text-transform:uppercase;color:#FFE6DB;margin:0 0 14px;\">White Label Link Building<\/div>\n<h2 style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;color:#fff;font-size:1.9rem;line-height:1.14;letter-spacing:-0.01em;max-width:22ch;margin:0 auto 16px;\"><span class=\"ez-toc-section\" id=\"ai-search-keeps-getting-faster-keep-your-clients-cited\"><\/span>AI Search Keeps Getting Faster. Keep Your Clients Cited.<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"font-size:1.02rem;color:#FFE6DB;max-width:54ch;margin:0 auto 28px;\">Stan Ventures builds the third-party mentions, contextual links and citations that AI-powered search pulls from. White labeled, pre-approved domains, delivered in 25 days.<\/p>\n<p><a href=\"https:\/\/www.stanventures.com\/book-a-call-for-agency-growth\/\" style=\"background:#fff;color:#F15A24;font-family:'Montserrat',Arial,sans-serif;font-weight:700;font-size:1rem;padding:15px 34px;border-radius:8px;text-decoration:none;display:inline-block;\">Book a Strategy Call<\/a>\n<\/div>\n<p><!-- SOURCE NOTE --><\/p>\n<div style=\"box-sizing:border-box;padding:8px 8px 32px;display:flex;flex-wrap:wrap;justify-content:space-between;align-items:center;gap:12px;\">\n<div style=\"font-family:'Montserrat',Arial,sans-serif;font-weight:800;font-size:1.1rem;color:#F15A24;min-width:0;box-sizing:border-box;\">Stan Ventures<\/div>\n<div style=\"font-size:0.78rem;color:#5E6A7D;max-width:54ch;min-width:0;box-sizing:border-box;\">Source: Google, &#8220;Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber,&#8221; The Keyword, July 21, 2026. Benchmark figures as reported by Google and the Artificial Analysis Index.<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Google AI Update &bull; July 21, 2026 Google Launches Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber Three new models in one day. Lower prices across the board. And one line most people scrolled past: 3.5 Flash-Lite is rolling out inside Google Search. Here is what shipped, what the benchmarks say, and why search [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15,14],"tags":[],"class_list":["post-7554","post","type-post","status-publish","format-standard","hentry","category-ai","category-google"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google Launches Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber - Stan Ventures<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.stanventures.com\/news\/google-launches-gemini-3-6-flash-3-5-flash-lite-and-3-5-flash-cyber-7554\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google Launches Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber - Stan Ventures\" \/>\n<meta property=\"og:description\" content=\"Google AI Update &bull; July 21, 2026 Google Launches Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber Three new models in one day. Lower prices across the board. And one line most people scrolled past: 3.5 Flash-Lite is rolling out inside Google Search. 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