[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"academy-blogs-en-1-1-all-gemini-3-5-flash-google-io-2026-all--*":3,"academy-blog-translations-rzwjc91n5eizix9":85},{"data":4,"page":84,"perPage":84,"totalItems":84,"totalPages":84},[5],{"alt":6,"collectionId":7,"collectionName":8,"content":9,"cover_image":10,"cover_image_path":11,"created":12,"created_by":13,"expand":14,"id":78,"keywords":79,"locale":51,"published_at":80,"scheduled_at":13,"school_blog":74,"short_description":81,"status":72,"title":82,"updated":83,"updated_by":13,"slug":75,"views":77},"Gemini 3.5 Flash model specifications from Google I\u002FO 2026","sclblg987654321","school_blog_translations","\u003Cp>In the past, choosing an AI model for projects or coding tools often involved a trade off. Selecting a complex model that deeply understands large codebase structures for accurate debugging meant sacrificing speed and enduring higher API costs. Conversely, choosing a smaller, faster model for real time applications or short scripts resulted in a significant drop in performance and supported context\u003C\u002Fp>\u003Cp>Because with the arrival of \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fblog.google\u002Finnovation-and-ai\u002Fmodels-and-research\u002Fgemini-models\u002Fgemini-3-5\u002F#gemini-3-5-flash\">\u003Cstrong>Gemini 3.5 Flash\u003C\u002Fstrong>\u003C\u002Fa> at \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fblog.google\u002Fintl\u002Fth-th\u002Fcompany-news\u002Finside-google\u002Fsundar-pichai-io-2026\u002F#momentum\">\u003Cstrong>Google I\u002FO 2026\u003C\u002Fstrong>\u003C\u002Fa> (which is now Generally Available, or GA, ready for us to smash into actual Production), Google has boldly declared that the first model of the 3.5 generation was built specifically to break down that wall with the concept of Frontier intelligence with exceptional speed. In plain English, it means it is top tier smart, yet running at light speed.\u003C\u002Fp>\u003Cp>This upgrade marks the entry into the \u003Cstrong>Agentic Era\u003C\u002Fstrong>, transitioning from standard Q&A chatbots to fully functional \u003Cstrong>Agentic Workflows. \u003C\u002Fstrong>The model delivers sufficient speed and efficiency to plan, process logic, and seamlessly execute tasks on behalf of developers.\u003C\u002Fp>\u003Cp>\u003Cstrong>Gemini 3.5 Flash \u003C\u002Fstrong>operates at a speed that is 4 times faster than other competitors in the same segment, yet its inner core possesses aggressive intelligence that easily rivals previous Pro tier models from the past while its big brother \u003Cstrong>Gemini 3.5 Pro\u003C\u002Fstrong> is currently undergoing internal testing and will follow next month.\u003C\u002Fp>\u003Cp>Brace yourselves for the impact, because from now on, the speed of our project development and coding is going to change forever.\u003C\u002Fp>\u003Cimg src=\"https:\u002F\u002Fpb.tumwebsme.com\u002Fapi\u002Ffiles\u002Fpbc_2997280662\u002Fgahz4eq60x2kzy7\u002F3_11zon_n6jk854q0w.webp\" style=\"display: block; margin: 0px auto;\">\u003Cp style=\"text-align: center;\">Image credit: Google Antigravity Blog\u003C\u002Fp>\u003Ch2>🔍 Deep Dive into\u003Cstrong> \u003C\u002Fstrong>Gemini 3.5 Flash\u003C\u002Fh2>\u003Cp>Following the General Availability (GA) release \u003Cstrong>Gemini 3.5 Flash\u003C\u002Fstrong> architecture has received a significant upgrade, specifically enhancing execution speed and expanding token capacity to meet developer demands.\u003C\u002Fp>\u003Ch3>1. Speed at 4x Faster ⚡\u003C\u002Fh3>\u003Cp>When it comes to the speed of outputting tokens (Output tokens per second), official test results clearly show that \u003Cstrong>Gemini 3.5 Flash\u003C\u002Fstrong> is 4 times faster than other Frontier models in the same segment.\u003C\u002Fp>\u003Cp>For the hardcore crew who run and develop this model through \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fantigravity.google\u002F\">\u003Cstrong>Google Antigravity\u003C\u002Fstrong>\u003C\u002Fa> (Google’s latest development platform), the system performs co optimization between Hardware and Software resulting in an immediate speed boost of up to 12 times during this initial phase! Anyone building Real time Apps or needing instant responses can completely rest easy now.\u003C\u002Fp>\u003Ch3>2. Context Window 1M 📦\u003C\u002Fh3>\u003Cp>Forget the issues of AI forgetting contexts or throwing long code at it only for it to glitch out, because \u003Cstrong>Gemini 3.5 Flash\u003C\u002Fstrong> comes fully packed with satisfying specs on both the input and output sides:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cstrong>Input Context Window:\u003C\u002Fstrong> Supports up to\u003Cstrong> 1,048,576 tokens (1M).\u003C\u002Fstrong> You can drop an entire system's Source Code thick API documentation, or even hours of video\u002Faudio files for the model to analyze smoothly all at once.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Max Output Tokens:\u003C\u002Fstrong> This is the real game changer! Google has shattered the previous ceilings by adjusting it to support outputting up to \u003Cstrong>65,535 tokens (65k)\u003C\u002Fstrong> in a single command multiplying the capacity of previous models. Now, when we order the AI to generate massive architectural code or long modules, the code won't cut off halfway to frustrate you anymore.\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>💻 Under the Hood of Developer Experience\u003C\u002Fh2>\u003Cp>For fellow Devs, the most critical thing isn't just how fast the AI spits out code, but whether it truly understands the context and collaborates with us smoothly. In this stable version (GA) of \u003Cstrong>Gemini 3.5 Flash\u003C\u002Fstrong>, \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.google.com\u002F\">\u003Cstrong>Google\u003C\u002Fstrong>\u003C\u002Fa>\u003Cstrong> \u003C\u002Fstrong>has packed two major features designed specifically to elevate Developer Experience (DX).\u003C\u002Fp>\u003Ch3>1. Thought Preservation System 🧠\u003C\u002Fh3>\u003Cp>When it comes to debugging, let's admit it there is absolutely no way we get things done in just a single prompt. We usually end up conversing back and forth with the AI in a multi turn manner, like Hey, I fixed this part, but now a new error popped up over there.\u003C\u002Fp>\u003Cp>In older models, when conversing back and forth over multiple turns, the AI often forgot its initial hypothesis or why it chose that specific fix in the first place. But \u003Cstrong>Gemini 3.5 Flash\u003C\u002Fstrong> comes equipped with the Thought Preservation system.\u003C\u002Fp>\u003Cblockquote>\u003Cp>This system automatically maintains and remembers intermediate reasoning throughout our multi-turn conversations.\u003C\u002Fp>\u003C\u002Fblockquote>\u003Cp>As a result, when performing Iterative Debugging, the model deeply understands where the previous code came from and what the final goal is. The output is a debugging generation that is clean, precise, and never wanders off track.\u003C\u002Fp>\u003Ch3>2. Thinking Effort 🎛️\u003C\u002Fh3>\u003Cp>If you followed the Preview versions, you probably know that\u003Cstrong> Google\u003C\u002Fstrong> used to let us tweak how deeply the AI racks its brain. But for this stable release (GA) \u003Cstrong>Google \u003C\u002Fstrong>did the homework for us by setting the default level to Medium.\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cstrong>Why Medium?: \u003C\u002Fstrong>Based on Google’s testing, allowing the model to spend a moderate amount of time filtering its thoughts (Medium thinking) is the most cost-effective sweet spot. It delivers code outputs and analyses that are sharp, sophisticated, and comprehensive enough for almost all types of tasks (stepping up to easily rival the previous Pro generation). At the same time, it doesn't take forever to generate and saves significantly more resources\u002Fcosts compared to using the old High thinking setting.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>Meanwhile for those who just want quick simple tasks or short code snippets, the Low thinking setting in this version has also been upgraded to be smarter and more concise.\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>📈 Gemini 3.5 Flash Benchmarks\u003C\u002Fh2>\u003Cp>\u003Cstrong>Gemini 3.5 Flash \u003C\u002Fstrong>performance is backed by \u003Cstrong>Google\u003C\u002Fstrong> official benchmarks which demonstrate that this Flash tier model outperforms its predecessor \u003Cstrong>Gemini 3.1 Pro\u003C\u002Fstrong> in both coding and agentic tasks.\u003C\u002Fp>\u003Ch3>1. Raw Statistics 📊\u003C\u002Fh3>\u003Ctable style=\"min-width: 75px;\">\u003Ccolgroup>\u003Ccol style=\"min-width: 25px;\">\u003Ccol style=\"min-width: 25px;\">\u003Ccol style=\"min-width: 25px;\">\u003C\u002Fcolgroup>\u003Ctbody>\u003Ctr>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Ch3>Evaluation Benchmark\u003C\u002Fh3>\u003C\u002Ftd>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Ch3>Gemini 3.5 Flash Score\u003C\u002Fh3>\u003C\u002Ftd>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Ch3>Technical Explanation\u003C\u002Fh3>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>\u003Cstrong>Terminal-Bench 2.1\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>76.2%\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>Measures command execution and control over the Command Line (Terminal), completely overtaking Gemini 3.1 Pro (70.3%).\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>\u003Cstrong>MCP Atlas\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>83.6%\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>Reflects the accuracy of connecting to and calling external Tools\u002FAPIs (taking a definitive lead in Agentic Tool Use).\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>\u003Cstrong>CharXiv Reasoning\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>84.2%\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>Measures visual analysis and multimodal reasoning (understanding charts, code embedded in images, etc.).\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>\u003Cstrong>GDPval-AA\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>1656 Elo\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd colspan=\"1\" rowspan=\"1\">\u003Cp>Evaluates real-world performance acting as a true AI Agent (outperforming Gemini 3.1 Pro by 26%).\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Cblockquote>\u003Cp>\u003Cstrong>Dev's Perspective Note: \u003C\u002Fstrong>Even though the massive enterprise coding benchmark like SWE-Bench Pro still lags behind a few specific competitors (scoring 55.1% while some leads), if we look at it through the lens of speed returned for iterative coding, the speed of this Flash model wins hands down without a doubt.\u003C\u002Fp>\u003C\u002Fblockquote>\u003Ch3>2. Road to AI Orchestrator 🗺️\u003C\u002Fh3>\u003Cp>The MCP Atlas score peaking at 83.6% alongside the\u003Cstrong> Antigravity 2.0 \u003C\u002Fstrong>system showcased by \u003Cstrong>Google\u003C\u002Fstrong> (which can orchestrate 93 AI sub agents working in parallel to spin up an entire simulated OS architecture within 12 hours) is sending a clear signal to all of us...\u003C\u002Fp>\u003Cp>This means that moving forward, our role will shift from manually typing out syntax line by line (Coder) to becoming an AI Orchestrator the conductor of the orchestra. We must master system architecture design, know how to delegate tasks to granular AI sub agents, and keep a firm grip on the stability of the overall codebase.\u003C\u002Fp>\u003Cp>Therefore, the skills you need to rapidly train up in this Gemini 3.5 era aren't just about getting syntaxes perfectly correct, but mastering Agentic Workflow design and fluid Tool Calling utilization.\u003C\u002Fp>\u003Cimg src=\"https:\u002F\u002Fpb.tumwebsme.com\u002Fapi\u002Ffiles\u002Fpbc_2997280662\u002F7hyvwwgdprhfgfg\u002F4_11zon_t4jl29we3t.webp\" style=\"display: block; margin: 0px auto;\">\u003Ch2>Limitations and Connections 🛡️\u003C\u002Fh2>\u003Cp>Being known as a next generation model, data transmission is naturally no longer limited to ordinary text chatting. In this stable version (GA), \u003Cstrong>Gemini 3.5 Flash \u003C\u002Fstrong>has elevated Native Multimodal capabilities to the next level. However, within this powerhouse performance, there are still certain boundaries that Devs must know in order to plan system architectures correctly and avoid getting lost.\u003C\u002Fp>\u003Ch3>1. Accepts Any File, Digests Any Media (Input Capabilities) 🗂️\u003C\u002Fh3>\u003Cp>The standout highlight of the Gemini family is its highly accurate multimodal file reading capability. For this version, the Input side fully supports a diverse range of file types:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cstrong>Text & Code:\u003C\u002Fstrong> Needless to say, this is the foundational layer that has gotten significantly smarter.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Images & PDFs:\u003C\u002Fstrong> Easily reads file structures, technical documents, or deep system diagram images.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Audio & Video:\u003C\u002Fstrong> You can instantly throw in high duration audio or video files for it to analyze, pinpoint timestamps, or convert into raw data.\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cblockquote>\u003Cp>\u003Cstrong>⚠️ Critical Limitation (Output Side):\u003C\u002Fstrong> Even though the input side accepts all media formats in the current version the Output side can still only spit out Text and Code (it cannot yet generate images or audio directly back from this model).\u003C\u002Fp>\u003C\u002Fblockquote>\u003Ch3>2. Features Not Yet Supported in This Version ❌\u003C\u002Fh3>\u003Cp>There is one topic that many people might misunderstand due to the AI Agent news cycle, and that is Computer Use (the feature that allows AI to move the mouse, type on the keyboard, and control our computer screens to work completely automatically on our behalf).\u003C\u002Fp>\u003Cp>Let me emphasize this crystal clear according to the facts: this\u003Cstrong> Gemini 3.5 Flash\u003C\u002Fstrong> does not yet support the Computer Use feature. If your project absolutely requires direct screen control, you might need to wait for upcoming updates or consider other specialized tools for the time being.\u003C\u002Fp>\u003Ch3>3. Connection Channels (Integrations) 🔌\u003C\u002Fh3>\u003Cp>For anyone who wants to start testing the real deal, or wants to Migrate their system to receive a 4x speed boost, you can access \u003Cstrong>Gemini 3.5 Flash \u003C\u002Fstrong>through these main channels:\u003C\u002Fp>\u003Col>\u003Cli>\u003Cp>\u003Cstrong>Google AI Studio: \u003C\u002Fstrong>The fastest channel for Devs to jump in and test Prompts, try Tool Calling features, or pull an API Key for immediate use.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Android Studio: \u003C\u002Fstrong>The model has already been embedded directly into the coding assistant system helping mobile devs generate streaming code and perform automation much faster.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Google Antigravity: \u003C\u002Fstrong>Google's brand new high performance development platform, which claims to accelerate this model's speed by up to 12 times.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Gemini Enterprise Agent Platform:\u003C\u002Fstrong> For large scale enterprises looking to deploy Agent systems under the highest tiers of Security and Data Privacy.\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Fol>\u003Ch2>Q&A\u003C\u002Fh2>\u003Cp>Here are the 5 most frequently asked questions about \u003Cstrong>Gemini 3.5 Flash\u003C\u002Fstrong> in the developer community, cleared up point by point right here.\u003C\u002Fp>\u003Ch3>Q1: Is Gemini 3.5 Pro open for public use yet?\u003C\u002Fh3>\u003Cp>\u003Cstrong>A: Not yet\u003C\u002Fstrong>. At Google I\u002FO 2026, Google released the stable version (GA) exclusively for \u003Cstrong>Gemini 3.5 Flash\u003C\u002Fstrong>. As for the big brother model, \u003Cstrong>Gemini 3.5 Pro\u003C\u002Fstrong>, \u003Cstrong>Google\u003C\u002Fstrong> stated that it is currently undergoing internal testing and is scheduled to roll out next month (June 2026).\u003C\u002Fp>\u003Ch3>Q2: How does the Thought Preservation feature differ from multi turn conversations in previous models?\u003C\u002Fh3>\u003Cp>\u003Cstrong>A:\u003C\u002Fstrong> In older models, when talking back and forth over multiple rounds (Multi-turn) the model had a high chance of forgetting its initial hypotheses or previous reasoning. However, the Thought Preservation system in Gemini 3.5 Flash automatically tracks and retains intermediate reasoning throughout the entire conversation making continuous debugging (Iterative debugging) much more accurate without dropping context.\u003C\u002Fp>\u003Ch3>Q3: How much does the API cost and why is it more expensive than the Preview version?\u003C\u002Fh3>\u003Cp>\u003Cstrong>A:\u003C\u002Fstrong> The official pricing for the stable version (GA) of Gemini 3.5 Flash stands at $1.50 per 1 million tokens for Input, and $9.00 per 1 million tokens for Output. The reason it is priced higher than the previous test version (Preview) is because Google radically upgraded its internal capabilities, pushing its benchmark scores to easily rival the older Pro tier. Yet, in terms of sheer value, this price point remains significantly cheaper than flagship models from market competitors.\u003C\u002Fp>\u003Ch3>Q4: Why do we need to quickly modify our code and migrate our systems within this month?\u003C\u002Fh3>\u003Cp>\u003Cstrong>A: \u003C\u002Fstrong>Because Google has scheduled a complete shutdown of older model groups, specifically \u003Ccode>gemini-2.0-flash\u003C\u002Fcode> and \u003Ccode>gemini-2.0-flash-lite\u003C\u002Fcode>, on June 1, 2026. Every developer running legacy projects on the 2.0 series must swiftly go into their codebase and update their Model ID to \u003Ccode>gemini-3.5-flash\u003C\u002Fcode> before that date to prevent system crashes or encountering 404 errors.\u003C\u002Fp>\u003Ch3>Q5: Can Gemini 3.5 Flash be used to build automation for controlling a computer screen (Computer Use)?\u003C\u002Fh3>\u003Cp>\u003Cstrong>A:\u003C\u002Fstrong> No, it cannot. Let me re emphasize this clearly based on actual facts: this version of \u003Cstrong>Gemini 3.5 Flash \u003C\u002Fstrong>does not support Computer Use or taking over screen and operating system controls in place of a human. If your project demands this type of functionality, you will need to wait for future updates or opt for alternative specialized tools for now.\u003C\u002Fp>\u003Cdiv data-type=\"horizontalRule\">\u003Chr>\u003C\u002Fdiv>\u003Ch2>💬 Conclusion\u003C\u002Fh2>\u003Cp>It is undeniable that the arrival of the stable version (GA) of \u003Cstrong>Gemini 3.5 Flash\u003C\u002Fstrong> in 2026 is one of the most formidable Game Changers for the Open Gate API landscape. It has proven to us that a 4x increase in speed no longer needs to be traded for a drop in intelligence, but instead delivers aggressive specs and scores that can easily go toe to toe with previous Pro tier models from the past. For developers, this technology represents a golden opportunity to leverage a model that is both fast and cost effective to build automation and Agentic Workflows that respond to clients instantly, without having to shoulder excessively high API costs.\u003C\u002Fp>\u003Ch3>🔥 What do fellow Devs think?\u003C\u002Fh3>\u003Cp>Let's talk! After seeing the specs, the 4x speed increase (or 12x on the Antigravity system), and the Thought Preservation system that remembers the reasoning process along the way, what ideas do you guys have to use the speed and power of Gemini 3.5 Flash to help automate which part of your own projects the most?\u003C\u002Fp>\u003Cp>\u003Cstrong>Follow Superdev Academy on all platforms:\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cstrong>🔵 Facebook: \u003C\u002Fstrong>\u003Ca target=\"_blank\" rel=\"noopener\" class=\"ng-star-inserted\" href=\"https:\u002F\u002Fwww.facebook.com\u002Fsuperdev.academy.th\">\u003Cstrong>Superdev Academy Thailand\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>🎬 YouTube: \u003C\u002Fstrong>\u003Ca target=\"_blank\" rel=\"noopener\" class=\"ng-star-inserted\" href=\"https:\u002F\u002Fwww.youtube.com\u002F@SuperdevAcademy\">\u003Cstrong>Superdev Academy Channel\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>📸 Instagram: \u003C\u002Fstrong>\u003Ca target=\"_blank\" rel=\"noopener\" class=\"ng-star-inserted\" href=\"https:\u002F\u002Fwww.instagram.com\u002Fsuperdevacademy\u002F\">\u003Cstrong>@superdevacademy\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>🎬 TikTok: \u003C\u002Fstrong>\u003Ca target=\"_blank\" rel=\"noopener\" class=\"ng-star-inserted\" href=\"https:\u002F\u002Fwww.tiktok.com\u002F@superdevacademy?lang=th-TH\">\u003Cstrong>@superdevacademy\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>🌐 Website: \u003C\u002Fstrong>\u003Ca rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fsuperdevacademy.com\">\u003Cstrong>superdevacademy.com\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003C\u002Fp>","24bgo00mvcy_u078aa46lt.png","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclblg987654321\u002F5v04jk804ko2uht\u002F24bgo00mvcy_u078aa46lt.png","2026-05-27 02:19:22.393Z","",{"keywords":15,"locale":45,"school_blog":55},[16,22,26,31,36,41],{"collectionId":17,"collectionName":18,"created":19,"created_by":13,"id":20,"name":21,"updated":19,"updated_by":13},"sclkey987654321","school_keywords","2026-05-26 17:29:41.015Z","pnbss939zsazomo","Gemini 3.5 Flash",{"collectionId":17,"collectionName":18,"created":23,"created_by":13,"id":24,"name":25,"updated":23,"updated_by":13},"2026-05-26 17:29:50.086Z","t6f5qqnhmtsxxv5","Google I\u002FO 2026",{"collectionId":17,"collectionName":18,"created":27,"created_by":13,"id":28,"name":29,"updated":30,"updated_by":13},"2026-03-04 08:44:26.139Z","dlm8aajwkiz9tae","AI Agent","2026-04-10 16:12:45.236Z",{"collectionId":17,"collectionName":18,"created":32,"created_by":13,"id":33,"name":34,"updated":35,"updated_by":13},"2026-03-04 08:47:19.476Z","w78r7qflj698r6y","Developer","2026-04-10 16:13:27.311Z",{"collectionId":17,"collectionName":18,"created":37,"created_by":13,"id":38,"name":39,"updated":40,"updated_by":13},"2026-03-04 08:31:27.403Z","v9recrqz2zy57go","coding","2026-04-10 16:07:40.847Z",{"collectionId":17,"collectionName":18,"created":42,"created_by":13,"id":43,"name":44,"updated":42,"updated_by":13},"2026-05-13 04:25:50.416Z","czsyl2b7o6m4b5x","SuperDev Academy",{"code":46,"collectionId":47,"collectionName":48,"created":49,"flag":50,"id":51,"is_default":52,"label":53,"updated":54},"en","pbc_1989393366","locales","2026-01-22 11:00:02.726Z","twemoji:flag-united-states","qv9c1llfov2d88z",false,"English","2026-04-10 15:42:46.825Z",{"category":56,"collectionId":57,"collectionName":58,"created":59,"expand":60,"id":74,"slug":75,"updated":76,"views":77},"pkuzfil3b4ug2ea","pbc_2105096300","school_blogs","2026-05-26 17:18:38.120Z",{"category":61},{"blogIds":62,"collectionId":63,"collectionName":64,"created":65,"created_by":13,"id":56,"image":66,"image_alt":13,"image_path":67,"label":68,"name":69,"priority":70,"publish_at":71,"scheduled_at":13,"status":72,"updated":73,"updated_by":13},[],"sclcatblg987654321","school_category_blogs","2026-03-04 08:31:47.860Z","3w9eadde0ql_vquww3nx7o.png","https:\u002F\u002Ftwsme-r2.tumwebsme.com\u002Fsclcatblg987654321\u002Fpkuzfil3b4ug2ea\u002F3w9eadde0ql_vquww3nx7o.png",{"en":69,"th":69},"Cutting-Edge Tech",0,"2025-01-27 08:43:38.395Z","published","2026-04-25 02:32:14.847Z","rzwjc91n5eizix9","gemini-3-5-flash-google-io-2026","2026-05-27 05:12:25.617Z",127,"5v04jk804ko2uht",[20,24,28,33,38,43],"2026-05-27 04:45:46.592Z","Deep dive into Gemini 3.5 Flash from Google I\u002FO 2026. Explore the 4x faster AI Agent model, specifications, and migration guide for developers.","Deep Dive into Gemini 3.5 Flash from Google I\u002FO 2026","2026-05-27 04:45:46.596Z",1,{"th":75,"en":75}]