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Gemini 3.0 vs ChatGPT — How to Use Google’s New AI Upgrade (2025 Guide)

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Gemini 3.0 vs ChatGPT — How to Use Google’s New AI Upgrade (2025 Guide)

AI Master 20.11.2025 92 425 просмотров 1 291 лайков обн. 18.02.2026

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#sponsored Start creating AI UGC ads today at https://www.makeugc.ai/ 🚀 Become an AI Master – All-in-one AI Learning https://whop.com/c/become-pro/ylqxkdp1c5k 📹Get a Custom Promo Video From AI Master https://collab.aimaster.me/ Google just dropped Gemini 3.0 — and it's crushing the benchmarks that matter. This isn't another incremental update. Gemini 3.0 Pro scored 45.1% on ARC-AGI-2 (abstract reasoning) — a 9x jump from Gemini 2.5 Pro. It topped the LMArena leaderboard at 1500+ ELO, beating GPT-4 and Claude. And here's the killer feature: frame-by-frame YouTube video analysis with 1 million token context. In this video, I show you: ✅ What makes Gemini 3.0 different (3 variants: Standard, Pro Preview, Deep Think) ✅ The benchmarks that shocked AI researchers (Humanities Last Exam, GPQA, ARC-AGI-2) ✅ Frame-by-frame video understanding—how it changes workflows for creators, educators, and devs ✅ AI Mode in Search + generative interfaces (dynamic UIs built on the fly) ✅ Antigravity IDE—Google's new AI-first coding environment ✅ Deep integrations: Workspace, Chrome, Android, agents that actually work ✅ Real tests I ran: video analysis, coding, research, and automation use cases ✅ Should you switch from ChatGPT/Claude? (Honest breakdown) If you're creating content, building tools, or just trying to keep up with AI without drowning in hype—this is the breakdown you need. ⏱️ TIMESTAMPS 00:00 — Why everyone's talking about Gemini 3.0 00:40 — Explanation of the new model - What is Gemini 3.0? (Standard, Pro, Deep Think) 02:36 - Benchmarks: Crushing the Competition 05:01 - Feature 1: Native Video Understanding 07:55 - Feature 2: Generative Interfaces in AI Search 09:50 - Antigravity IDE: Google Antigravity (AI-First IDE) 11:55 - Real Use Cases for Creators, Researchers and Coders 12:58 - Feature 3: Gemini Agent 15:09 - Pricing, Tiers, and Data Privacy 16:56 - Final Verdict: Should You Switch? 🔗 LINKS & RESOURCES • AI Master Pro (Courses, Tools, Ask AI Master): https://whop.com/c/become-pro/ylqxkdp1c5k • Try Gemini 3.0: https://aistudio.google.com or https://gemini.google.com/app • Antigravity IDE: https://antigravity.google/ 🎥 SPONSORED BY • MakeUGC.ai — AI-powered UGC ad factory (Sora 2 Pro + Veo 3.1 integrated): https://www.makeugc.ai/ 📊 BENCHMARK SOURCES • Humanities Last Exam: 41% (no other model has passed) • GPQA (Grad-level science): 93.8% • ARC-AGI-2 (abstract reasoning): 45.1% • LMArena: #1 at 1500+ ELO 🧠 WHO THIS IS FOR ✔ Content creators & editors who use AI for scripts, thumbnails, research ✔ Developers, indie hackers & automation builders ✔ Knowledge workers in Workspace (Docs, Sheets, Gmail, Search) If this breakdown helped, hit like and subscribe so you never miss the next major AI drop. Que stions? Drop them in the comments—I read all of them. — Arthur #Gemini3 #GoogleAI #AINews #ChatGPT #Claude #AITools #Productivity #ContentCreation #CodingAI #Automation

Оглавление (10 сегментов)

0:00 Why everyone's talking about Gemini 3.0 116 сл.
0:40 Explanation of the new model - What is Gemini 3.0? (Standard, Pro, Deep Think) 335 сл.
2:36 Benchmarks: Crushing the Competition 367 сл.
5:01 Feature 1: Native Video Understanding 477 сл.
7:55 Feature 2: Generative Interfaces in AI Search 327 сл.
9:50 Antigravity IDE: Google Antigravity (AI-First IDE) 360 сл.
11:55 Real Use Cases for Creators, Researchers and Coders 164 сл.
12:58 Feature 3: Gemini Agent 371 сл.
15:09 Pricing, Tiers, and Data Privacy 305 сл.
16:56 Final Verdict: Should You Switch? 140 сл.

Why everyone's talking about Gemini 3.0

Google just dropped Gemini 3. 0 and the AI world is losing its mind again. GBT5, Claw 4, they just got benched. I'm talking benchmarks that crush the competition. Video understanding that actually works frame by frame and a brand new AI first IDE called anti-gravity that's already making developers rethink their entire workflow. This isn't another incremental update. This is Google putting its entire product stack behind AI first interfaces, search, workspace, Chrome, Android, all of it. I'm going to show you what Gemini 3. 0 can do where it genuinely surprised me and most importantly whether it's worth switching your workflow or if you can safely ignore the hype. Let's get into it. All

Explanation of the new model - What is Gemini 3.0? (Standard, Pro, Deep Think)

right, let's start with the basics. Gemini 3 is Google's latest and most advanced multimodal AI model. It's designed for deep reasoning and can natively understand text, images, audio, and video all in one system. Now, if you've been following Google's releases, you know Gemini 2 introduced advanced reasoning and early agent capabilities. Gemini 3 takes the foundation and pushes it significantly further. Stronger reasoning, better multimodal understanding, and much more sophisticated agentic behavior. What does agentic behavior mean? It means the model can actually do tasks for you across multiple tools, not just answer questions in a chat window. Think organizing your inbox, booking travel from email details, or generating custom code and deploying it live. There are three main variants you need to know about. First, there's the standard Gemini 3 model. Fast, efficient, great for everyday tasks. Then there's Gemini 3 Pro, which is the flagship. This is the one crushing benchmarks and handling ultra long context windows up to 1 million input tokens. Finally, there's Gemini 3 Deep Think, which is optimized for complex reasoning task that require multi-step problem solving. It's slower, but when you need to work through a hard problem, coding, research, planning, it's worth the wait. When new models like this drop, my inbox explodes with questions. Should I switch? What's actually different? Is this just hype? And honestly, I get it. The AI space moves so fast that it's exhausting to keep up. That's why I built AM Master Pro. It's your home base for cutting through the noise. Inside, you get byte-size lessons that explain exactly what these benchmarks mean. Weekly AI digest so you never miss major drops like this, plus tools like Ask AI Master, where you can literally ask your personal AI coach what's the difference between Gemini 3 Pro and Deepthank and get a clear answer in seconds. No fluff, no hype, just the info. actually need to make smart decisions about which tools to use. Now, let's talk about why

Benchmarks: Crushing the Competition

everyone's calling this a breakthrough. Gemini 3 is dominating on benchmarks that actually matter. Not just synthetic tests, but evaluations that measure reasoning, understanding, and realworld task performance. Let's start with the humanities last exam. This is a graduate level exam covering literature, philosophy, history, and complex reasoning. Gemini 3 scored 41%. That might not sound impressive until you realize no other model has even come close to passing this test. It requires deep contextual understanding and synthesis across disciplines, something models have traditionally struggled with. Then there's GPQA, the graduate level physics, chemistry, and biology benchmark. Gemini 3 hit 91. 9%. For context, that's higher than most PhD students score on these questions. This isn't trivia. These are multi-step problems requiring real scientific reasoning. But here's the benchmark that made the entire AI community stop and take notice. ARK AGI 2. This test measures abstract reasoning and general intelligence. The kind of problem solving that's closer to how humans think than just pattern matching. Gemini 3 deep think scored 31. 1% according to Google's published results. For context, Gemini 2. 5 Pro was at around 5%. competing models from OpenAI and Anthropic are mostly in the low to mid- teens on this test. That's not a marginal improvement. That's a capability jump that suggests we're moving into a new tier of AI reasoning. And it's not just academic benchmarks on realworld reasoning tasks that simulate enterprise workflows, things like multi-step document processing, cross referencing information, and complex planning. Gemini 3 shows significant improvements over the previous generation. Independent testers report measurable gains in accuracy and speed on these practical use cases. On top of all that, Gemini 3 became the first model to top the Elmarena leaderboard with over 1,500 ELO, 50 points above Gemini 2. 5 Pro. Elm Marina is a crowdsourced benchmark where real users compare models head-to-head on diverse tasks. It's one of the most reliable indicators of realworld performance, and Gemini 3 is currently sitting at number one. So, when people say Google shocked everyone, they're not exaggerating. These aren't minor improvements. These are capability jumps that suggest we're moving into a new tier of AI performance. But here's the feature that

Feature 1: Native Video Understanding

personally blew me away. And this is the one that's going to change workflows for anyone working with video. Gemini 3 can analyze YouTube videos frame by frame. Not just the transcript, not just audio. It's actually looking at the visuals, understanding what's on screen, and answering questions about specific moments in the video. The model supports up to 1 million input tokens, which means you can feed it an entire featurelength film or a multi-hour lecture and ask detailed questions about what happens at specific timestamps. I tested this myself. I uploaded a 13-minute AI master video to Google AI Studio and I asked Gemini, "What's on screen at 7 minutes and 32 seconds? " It came back with a precise description. Not just what I was saying, but what was visible on screen? The slides, the props, even my outfit. That level of detail is something no other model can do right now. Why does this matter? If you're a content creator, this is a gamecher. You can instantly generate chapter markers, pull thumbnails, stills, create video summaries, clean up transcripts with visual context, or even spot editing mistakes. You don't have to scrub through hours of footage manually anymore. Just ask the AI. For educators and researchers, imagine uploading a lecture or documentary and being able to query it like a database. Show me every moment where this concept is explained visually. What experiments are demonstrated between minutes 10 and 15? This kind of capability opens up entirely new ways to interact with video content. And for developers building video apps, this is huge. You now have access to a model that can natively process video in ways that were impossible before. Thank automated highlight reels, intelligent video search, realtime content moderation, all powered by Gemini 3's frame by frame understanding. Okay, speaking of visuals, if you're running ads or building a brand, you need UGC content, user generated style ads. But hiring creators, expensive, shooting your own, time-conuming, watch this. Make UGC. ai. It's basically an ad factory powered by AI. 300 plus realistic avatars. You upload your product image and it puts it in their hands. Seamless product and hand B-roll. They've integrated Sora 2 Pro and VO3. 1 directly into the platform. Just pick your model, describe what you need, and generate. No weight list, no separate subscriptions. You write the script, pick the avatar, hit generate. Boom. Tik Tok ad, Instagram reel, YouTube short done in minutes. I tested this last week. 30 ads for an e-commerce brand in under an hour. Multi- language support, so I ran the same script in English, Spanish, and German cost cents per ad, not dollars cents. If you're running campaigns at scale, affiliates, marketers, e-commerce, this is how you move fast without burning budget and agencies. Try make UGC. ai your ad factory.

Feature 2: Generative Interfaces in AI Search

Now, let's talk about what Google's doing with search because this is where things get weird in a good way. On day one of the Gemini 3 launch, Google rolled out AI mode in search. But this isn't just a chatbot slapped on top of search results. It's something called generative interfaces. And it's honestly kind of mind-blowing. When you search for something in AI mode, Gemini doesn't just give you links. It dynamically generates a custom user interface tailored to your query. Let me give you an example. I searched for AI automation tools comparison. Instead of a list of links, Gemini built an interactive comparison table with pricing, features, pros and cons, and clickable modules to explore each tool in depth. The layout was clean magazine style, and it felt like someone had handdesigned a landing page just for my question. There are two types of generative interfaces. The first is visual layout mode, which gives you that polished structured design. The second is dynamic view mode where Gemini literally codes a custom UI in real time. If you're searching for something that requires interaction, like filtering data, comparing specs, or exploring options, dynamic view lets you manipulate the interface live. It's like search became an app builder. Why is this important? Because it changes the fundamental model of how we interact with information online. Instead of clicking through 10 websites to manually compare data, the AI synthesizes everything and presents it in the format you actually need. It's faster, cleaner, and way more useful than traditional search results. And this is just the beginning. Google is integrating Gemini 3 crossworkspace, Docs, Sheets, Slides, Gmail, all of it. Imagine asking your spreadsheet to generate a pivot table showing quarterly revenue trends and highlight anomalies and it just does it. We're asking Gmail to draft replies to all unread emails from clients this week and flag anything urgent. That's the direction this is headed. All right

Antigravity IDE: Google Antigravity (AI-First IDE)

developers, this one's for you. Google just launched anti-gravity, a brand new AI first IDE that's already competing with Cursor and Windsurf. And I've got to say, after spending time with it, this thing is legitimately impressive. Anti-gravity is built on a fork of VS Code, so the interface will feel familiar if you've used any modern code editor. But it's powered by Gemini 3's coding capabilities, and that makes a huge difference. The model can handle long horizon tasks, meaning you can give it a complex multi-step coding goal and it'll work through it systematically instead of just spitting out a single function and calling it a day. For example, I asked Anti-gravity to build a landing page with three pricing tiers, contact form, and mobile responsive design. It wrote the HTML, CSS, and JavaScript, set up the folder structure, deployed a local preview, and even took a screenshot to show me the result. No handholding, no debug, and a dozen errors. It just worked. Now, it's not perfect. Sometimes the model will declare victory while there are still errors lurking in the code. You definitely need to review what it's doing. But compared to other AI coding tools, anti-gravity feels more capable at understanding the bigger picture of what you're trying to build. One of the most interesting features is function calling for agentic tasks. This means anti-gravity can execute multi-step workflows that go beyond just coding. For instance, it can organize your inbox, manage task lists, or even coordinate between different tools in your development environment. It's early days for this stuff, but the potential is huge. What makes anti-gravity interesting is that it integrates with existing development tools like cursor, GitHub, Jet Brains, and others. It's designed to fit into your current workflow rather than replace everything. Google's positioning this as a platform that works alongside the tools you already use, which is a smart approach for developer adoption. If you're building software, experimenting with automations, or just trying to code faster, anti-gravity is worth testing. It's free during the preview phase and honestly, it's one of the most capable AI coding assistants I've used. Let's

Real Use Cases for Creators, Researchers and Coders

get practical. What can you actually do with Gemini 3 right now that saves you time, money, or mental energy? For content creators, the video understanding feature is the obvious win. You can analyze your own videos to generate chapter markers, pull quotes for social media, or even identify the best moments for thumbnail stills. If you're repurposing content across platforms, turning a YouTube video into blog posts, tweets, or LinkedIn carousels, Gemini 3 can handle that entire workflow. Just feed it the video, describe the output format you want, and it'll generate everything. For developers and builders, Gemini 3 Pro is a powerhouse for code generation, debugging, and API integrations. The ultra long context window means you can dump an entire code base into the model and ask it to refactor specific modules, find bugs, or suggest optimizations. If you're building dynamic UIs or prototyping new features, the speed and accuracy are genuinely helpful for knowledge workers, product managers, marketers, analysts, consultants. This

Feature 3: Gemini Agent

is where the Gemini agent comes in. It's currently limited to Google One AI premium subscribers in the US, but it's a glimpse of where this is headed. The agent can organize your inbox, draft replies, book travel based on email details, and manage tasks across tools. It uses function calling to execute sophisticated multi-step workflows, which means it's not just answering questions. It's actually doing things for you. Now, look, I know what you're thinking. Another AI model, another set of features to learn. I get it. It's overwhelming. This is why we've got AI Master Pro as your all-in-one AI hub. Instead of piecing together random YouTube tutorials, blog posts, and paid courses scattered across the internet, you get everything in one place that actually helps you turn learning into real results. Get access to our generative AI course with over a 100 byte-size lessons that break down exactly how to use tools like Gemini, GBT, Claude, and Mid Journey in practical ways. Not theory, but actual workflows you can use today. also get 100 plus PDFs and templates so you're not starting from scratch every time. We've got readytouse prompts, automation frameworks, and stepbystep guides. We also build custom AI tools by AIM Master that sit inside the platform. We've got Ask AMSR just like having a personal AI coach who actually knows this stuff. We've got AI Art Studio for visual creation, prompt creator to help you craft better prompts, AI Voice Booth for voice work, and Deep AI research when you need to dig into technical topics. Plus, you get Prompt Lab Pro with 300 plus readyto-use prompts for freelancers, businesses, funnels, content research, automation, all pre-built and a curated weekly AI digest so you stay current without drowning in noise. plus member perks, AI tool discounts, and a community of people actually doing this work. The big idea here, AI Master Pro, isn't a course, it's your home base. So, when something like Gemini 3 drops, you're not scrambling. You've got the frameworks, tools, and the coaching to integrate it into your workflow immediately. And right now, we're offering 24% off annual membership for the first 1,000 members. Links below. Let's talk about what this

Pricing, Tiers, and Data Privacy

actually costs and who can use what. The good news is that a lot of Gemini 3 is free. The standard Gemini 3 model is available for free through Google AI Studio with generous rate limits. You can test it, build with it, and use it for personal projects without paying anything. If you want access to Gemini agent, the fully agentic assistant that can book travel, manage tasks, and coordinate across apps that requires Google AI Ultra, which is a premium tier subscription currently available only in the US. Pricing varies, but expected to be on the higher end of what you'd pay for advanced AI subscriptions. Google hasn't made this tier widely accessible yet, and availability outside the US is unclear. Anti-gravity IDE is free during the preview phase. No subscription required. Google hasn't announced pricing for when it exits beta, but for now, it's a free playground for developers. Now, if you're thinking about using Gemini 3 for work, especially in a business or enterprise context, there are a few things you need to know. First, data privacy. Google states that prompts and outputs in AI Studio are not used to train future models if you're using the API in production mode. But if you're testing in the free tier, your data may be used for model improvement. Read the terms carefully if you're handling sensitive information. For enterprises, Google offers Gemini for Workspace, which includes enhanced security, admin controls, and data residency options. This is the version you want if you're deploying AI across a team or organization. Pricing varies depending on your workspace plan, but it's typically an add-on to existing Google Workspace subscriptions. One thing to watch, Gemini's integrations with thirdparty tools are still limited compared to ChatGpt's plug-in ecosystem. If your workflow depends on niche integrations, you might

Final Verdict: Should You Switch?

find gaps. So, here's the bottom line. Should you switch to Gemini 3 or stick with what you're using, switch if you work with video, need ultra long context windows, want Google ecosystem integration, or use search heavily. The capabilities here are genuinely ahead of the competition. Stay put if you're locked into OpenAI workflows, need Chat GBT's conversational personality, or prefer Claude's creative writing style. Those are still valid reasons to stick with what you know. But here's my recommendation. Try both. Gemini 3 Pro is free. Google AI Studio. Test it on your actual use cases. See if it saves you time and then decide. This video is sponsored by Make UGC and honestly, it's the fastest way I've seen to crank out ad creative without hiring a full production team. I'll see you in the next one.

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