DeepSeek vs Gemini 3.0 — Full Guide & Tutorial to DeepSeek V3.2

You're paying $20 a month for Gemini or Chad GPT. Meanwhile, there's a free AI model that just hit 96% on the toughest math benchmark in the world, matches GPT5 in reasoning, and won gold medals at international coding competitions. And I'm willing to bet most of you have never even tried it. It's called Deepseek V3. 2. It dropped December 1st, completely free, completely open source, and it's shockingly good. Most people forgot Deepseek even exists. That's a mistake because in the next 20 minutes, I'm going to show you how to use this thing for real work, writing, research, coding, data analysis, all without touching a single line of code. You'll see which version to use when thinking mode actually matters and whether you can finally ditch your Chat GPT or Gemini subscription. So, let's go. So

here's the situation. Back in January, Deepseek made headlines with their R1 model. cheap to train, open source, performed like the big boys. Then everyone moved on. Open AAI launched GPT5. Google dropped Gemini 3 Pro. The hype cycle kept spinning and Deepseek just kept building. On December 1st, 2025, they quietly released version 3. 2 and the benchmarks are wild. 96% on the American Invitational Mathematics Examination. That's M, one of the hardest math test on the planet. For context, GPT5 High scored 94. 6. Deepseek beat it. On the Harvard MIT math tournament, Deepseek hit 99. 2%. Gemini 3 Pro scored 97. 5. Again, Deep Seek wins. But here's the thing. This isn't just one model. Deepseek V3. 2 comes in two flavors. Standard V3. 2, which is your everyday workhorse. Fast, reliable GPT5 level performance. Think of it as your Chad GBT replacement. Then there's V3. 2 Speciial. And Special is the beast. Maxed out reasoning, deep chain of thought. This thing won gold medals at the International Mathematical Olympiad, the International Olympiad in Informatics, second place at the ICPC World Finals. We're talking elite competition level AI. And here's what makes this release different. Deep Seek V3. 2 2 is the first model to integrate thinking directly into tool use. Most AI models lose their train of thought every time they call an external tool. They have to restart reasoning from scratch. Deepseek preserves the reasoning trace across multiple tool calls. That means smoother workflows, better agent performance, and way more reliable multi-step problem solving. Now, there is one catch with special. It's API only right now and that API endpoint expires December 15th, 2025. Why? Because it's token hungry. To solve one code forces problem, Special uses 77,000 tokens. Gemini uses 22,000. The inference costs are insane. So, Deep Seek is treating Special as a research preview. After December 15th, they'll likely roll it into a more efficient production version or just keep the standard model as the main offering. But the standard V3. 2 too that's available right now free on the web on mobile open source under an MIT license no credit card no limits and it performs at GPT5 level this isn't a toy this is production ready AI let me break

down the two models so you know which one to use standard V3. 2 2. This is the daily driver. It scored 93. 1% on Emmy 2025. Code forces rating of 2386. That puts it in the top 1% of competitive programmers globally. It's fast, it handles tool use, and it's free via the web interface at chat. deseek. com. Use this for writing, brainstorming, quick analysis, code, and tasks, and anything you'd normally throw at chat GPT. Then there's V3. 2 special. This is the high compute reasoning monster. 96% on Amy, 99. 2 on the Harvard MIT math tournament, gold medals at IMO, IOI, ICPC, and the Chinese math Olympiad. Special is designed for deep reasoning, multi-step proofs, complex research, heavy analysis, but it doesn't support tool calling right now. It's pure thinking mode, and it's only available through the API until December 15th. Why can't you install Special locally yet? It's in a research beta phase. The model is publicly available on hugging phase, but running it requires serious hardware. 671 billion parameters total, but only 37 billion active per token thanks to the mixture of experts architecture. You'd need multiple high-end GPUs and distributed compute to run it smoothly. The standard V3. 2 too. It's easier to self-host if you've got the hardware, but for most people, the web interface is the way to go. Rule of thumb, standard for speed, special for depth. But since Special is temporary and API gated, I'm going to focus this tutorial on the standard V3. 2 model, which is what you can actually use today without jumping through hoops. All right, let's

get you set up. This takes about 60 seconds. Step one, open your browser and go to chat. deseek. com. You'll see a simple landing page. Click sign up. I just used the Google signin option. One click. No password to remember. Done. Step two. Once you're in, you'll see the main chat interface. The prompt box is right in the center. Below it, you've got two toggles. One says deep think. That enables extended reasoning mode where the AI thinks through your problems step by step. The other toggle is search, but as of right now, it's not reliably working. When it does work, it functions like Chad GBT's web search, but don't rely on it yet. You also see a file upload button. Deepseek is multimodal. You can upload text files, spreadsheets, PDFs, images. It'll extract the text and work with it. No video or audio support yet, but for documents and data, it's solid. On the left side, you've got your chat history. You can rename or delete chats by clicking the three dots next to each one. There's also a QR code button to download the mobile app, which I'll show you in a second. Step three, understanding the interface. In normal mode, Deep Seek gives you a straightforward answer. Simple, clean, fast. But when you enable deep think, something interesting happens. The AI thinks for several seconds first. You literally watch its thought process unfold in real time. Then it delivers the final answer. This is where you see the reasoning chain, the trade-offs. it's considering the logic behind its response. Step four, enable deep think when you need it. If you're doing something simple like writing an email or brainstorming ideas, leave it off. The model responds faster. But if you're working on complex problem solving, research, or multi-step tasks, turn on Deepthink. The model will take longer to respond, but the quality goes way up. Pro tip: Prompt in English or Chinese only. Deepseek's training is optimized for those two languages. Other languages go through a translation layer and the results can be hit or miss. If you need the output in another language, prompt in English first, then ask DeepSk to translate the final answer. That's it. You're set up. Now, let's put this thing

to work. This is where it gets interesting. I'm going to show you five real use cases. Some are practical, some are just fun. All of them work without coding, without APIs, and without local installs. Just your browser and a prompt. Let's start with writing. I'm going to ask Deepseek to create a long form article outline. I'll turn on deep think so it thinks through the structure prompt. Create a detailed outline for a 2,000word article on remote work productivity. Include five main sections, each with three sub points. Target audience is freelancers and small business owners. Make it actionable. Watch what happens. Deepseek thinks first, breaking down the prompt. It's identifying the audience, thinking about pain points, structuring the flow. Then it delivers a clean, hierarchical outline with specific subtopics. No fluff, just structure. This is where Deep Seek shines for content work. You're not just getting an answer. You're seeing the reasoning. And if you don't like a section, you can ask it to revise just that part without starting over. Here's something cool. We've been using Deep Seek for text, but what about video? Because that's the other part of content creation. most people struggle with. I've been testing Luma AI's RA3 modify for the visuals in this video. And the workflow is honestly fascinating. It's not just type a prompt and hope for the best. There is this reasoning engine built in that actually thinks through what you're trying to create before it starts generating. Here's how it works. You either type a detailed prompt or upload an image as your starting point. Ray 3 modify analyzes your creative intent, figures out the physics, lighting, motion paths, all of that. Then it gives you two generation modes. Draft mode, which is incredibly fast and cheap. Use that to experiment and iterate. Once you nail the concept, you upscale to hi-fi 4K HDR for your final render. But the real game changer, it's visual annotation. Instead of writing a 10-line prompt trying to describe motion, just draw on the image. Circle an object, draw an arrow showing how you want it to move. Ray 3 modify handles the rest. The physics, the lighting transitions, the camera work, it all just works. I tested this with a product demo concept. Started in draft mode, tweaked the motion a few times, then rendered the final 4K version. The output was clean enough to use straight out of the box. no post-processing. And compared to other AI video tools I've tried, this one actually preserves anatomy and handles complex motion without the usual AI artifacts. If you're building content, product videos, or anything visual, Ray 3 modify is worth trying. You can find it at dreamachine. lumalabs. ai. They give you credits to start so you can test draft mode and visual annotation yourself. Link below. All right, back to Deep Seek. Now, let's

test file handling. I'm going to upload a sample CSV file with sales data. Then I'll ask Deepseek to analyze it. Prompt: Analyze this sales data. Give me the top three insights and identify any concerning trends. Deepseek reads the file, processes the data, and returns a structured summary. It highlights that Q3 revenue dropped 15%, identifies the underperforming product category, and flags a regional sales dip. All in plain English. — No pivot tables, no formulas, just insights. You can also upload PDFs and ask for summaries, key takeaways, or specific extractions. For research work, this is a massive timesaver. All right, this is the

showstopper. I'm going to show you three things you can build in Deep Seek right now. No coding knowledge required. These are instant playable visual demos. First, let's start with something fun. generating a simple JavaScript game and playing it right inside DeepSseek prompt. Create a simple snake game in HTML and JavaScript that I can play right now. Deepseek writes the code. A preview button appears. I click it. Boom. The game loads in the interface. I'm playing Snake inside the AI chat window. No libraries, no installs. 15 seconds from prompt to playable game. Now, let's take it a step further and build a simple space shooter arcade game. Prompt: game with HTML 5 canvas. Make it playable. Again, Deep Seek generates the code. I hit preview. The game loads. I'm firing shots at targets. It works. Chad GPT would give you the code and tell you to paste it somewhere. Deep Seek lets you run it. And now, let's switch gears and create a simple to-do list app. Prompt. Create a to-do list app with add and delete functionality. Full web app, interactive UI. I can add tasks, delete tasks, check them off. It's live. It's functional. And I didn't write a single line of code. Now, before I move on to comparing Deep Seek with CHG GBT and Gemini, let me show you something that we've built. While you're learning DeepS or any AI tool for that matter, I can't stress enough how helpful it is to have everything in one place. That's exactly why I built AI Master Pro. It's an all-in-one AI hub where you're not just watching tutorials. You're actually applying what you learn in real time. Here's what's inside. The AI Master Method course which walks you through AI foundations, workflows, and how to actually sell AI services. Over a 100 lessons, templates, PDFs, everything you need to go from beginner to building real AI products in four weeks. But the course is just the starting point. What I actually use every single day are the AI tools built right into the platform. There's a personal AI master trained on unique data that can teach you anything about AI 24/7. You can generate highquality prompts on the fly and with integrated tools like Sora, VO, Nano Banana directly into the platform. So if you join before the end of 2025, you will get bonus generation credits. You also get Prompt Lab Pro, 300 plus readyto-use prompts you can copy and paste, discounts on other AI tools, and a curated weekly AI digest so you never fall behind on what's new, so you can learn AI and use AI in the same place. No tab switching, no trying to remember which tool does what. Everything's organized. Everything's accessible and honestly, I'm on the platform every single day. If you want to check it out, we're offering a huge discount for the first thousand people who join the annual plan. Link below. All right, back to Deepseek. Let's push

it harder. I'm going to give Deepseek a multi-step business problem and watch how it handles it. Prompt: I'm launching a subscription software product. Price is $49 per month. Target market is freelancers. I need a six-month growth plan. include customer acquisition strategy, price and experiments, and retention tactics. Show your reasoning. With Deepthink on, Deep Seek spends about 6 seconds thinking. It's breaking down the problem, customer personas, acquisition channels, pricing, sensitivity, retention metrics. Then it delivers a structured six-month plan with specific action items for each month. This is where the extended reasoning really pays off. You're not getting a generic answer. you're getting a plan that actually considered tradeoffs. Finally, let's test tool use.

This is where V3. 2's new architecture shines. I'm going to ask it to calculate compound interest and show me the formula step by step. Prompt, calculate the compound interest on $10,000 invested at 5% annually for 10 years. Show each step of the formula and the final result. Deepseek doesn't just give me the answer. It breaks down the formula. explains what each variable means, shows the calculation at each step, then gives the final number in a clean box. This is thank plus tool execution in one flow. For anyone doing research, analysis or learning, this is huge. You're not just getting results. You're seeing the work. Let's talk

honestly. Can Deepseek actually replace Chat GPT or Gemini? The answer is it depends. Here's where Deepseek wins. Cost. Deepseek Chat is free, but API usage is paid. Chat GPT Plus is $20 a month. Claude Pro is 20. Google AI Pro with Gemini is about $19. 99 per month in the US and around €21. 99 per month in Germany. Varies by region and taxes. If you're just using the chat interface, Deep Seek cost you nothing. Transparency. Deepseek often shows you the visible thinking process. Chad GPT and Gemini usually show the result and a brief explanation without the full chain of thought for learning debugging or understanding why you got a certain answer. Deepseek's transparency is a massive advantage. Math and reasoning. Deepseek R10528 scores 87. 5% on Me 2025 while GPT5 reports 94. 6% without tools. So GPT5 is ahead, but Deep Seek is still very strong. If you're doing data analysis, research, or technical problem solving, Deep Seek holds its own against most models. Open weights. You can download the weights, run locally, and use commercially depending on the license. No vendor lockin. For businesses worried about data sovereignty, that's a big deal. Here's where Chad GPT and Gemini still win. Polish. Chad GBTs and Gemini's interfaces are more refined, better onboarding, smoother UX. Deep Seek feels more utilitarian integrations. Chad GPT has GTS with tools and actions, built-in image generation, browsing, data analysis. Gemini integrates with Google Workspace. Deepseek is bare bones. You get the model. That's it. Stability. Deep See can show server busy messages during peak demand. Paid incumbents often feel more consistent, but no service is immune to outages. Custom instructions. Chat GPT has account level custom instructions. Deepseek doesn't yet offer the same kind of persistent personalization in its chat UI, at least not at the same level. Here's my honest take. Can you replace chat GPT or Gemini entirely? If you're doing writing, research, analysis, and coding, yes, absolutely. Deep Seek is good enough. If you rely heavily on GPTs, need guaranteed uptime, or want a more polished experience, not yet. But for 80% of tasks, Deep Seek is shockingly capable and it's free to use. Let me show you a quick side by side. Same prompt, both models. Prompt: Explain how to improve website conversion rates in five steps. Chad GPT gives a clean, structured answer. Five steps, good advice. Deepseek steps. Also, good advice. In this quick test, the quality looks nearly identical. For most everyday tasks, the performance gap is minimal. The question is whether you value the Chad GPT or Gemini ecosystem or whether you just need a smart AI that gets the job done. Now, let's talk about

prompting because the way you ask matters. Deepseek isn't Chad GPT. It has quirks and if you learn them, you'll get way better results. Tip one, formatting matters. If you're doing something complex, structure your prompts with clear sections. Deepseek responds incredibly well to markdown style formatting. Here's the template I use for any non-trivial task. Task colon what you want. Constraints colon any limitations. Output colon how you want the response formatted. For example, task analyze this sales report. Constraints focus on Q3 data only. Ignore outliers above $10,000. output bullet list with top three insights. Each insight under 50 words. Watch how clean that is. You've told the model exactly what to do, what to avoid, and what format you expect. No ambiguity, no back and forth. There's also a second format called think and answer. This one's powerful for reasoning tasks. You split your prompt into two sections using tags. The think section is your background context. The answer section is your specific request. Here's an example. Think I'm a freelance designer launching a new service. My target clients are small startups with budgets under $5,000. I need a pricing strategy that feels premium but accessible. Answer: propose three pricing tiers with specific dollar amounts and justifications for each. The thank section primes the model's reasoning. The answer section narrows the output. You get better, more tailored responses this way. Tip two, be hyper specific. Deep Seek needs detail way more than Chad GBT. Don't just say write an email. Say write a 200word professional email to a client named Sarah explaining a twoe project delay caused by supply chain issues. Tone should be apologetic but confident. Include a revised timeline and next steps. See the difference? You've given the model length, tone, recipient context, reason for the email and deliverables. Now, it has everything it needs to nail it on the first try. This applies to every task. If you're asking for a comparison, name both options and specify what criteria matter to you. If you're asking for a plan, state your constraints upfront. Time, budget, team size, whatever is relevant. Vague prompts give you vague answers. Specific prompts give you work you can actually use. Tip three, use personas. Tell Deepse seeek to act as someone. A career counselor, a financial analyst, a creative director, a systems engineer. This shapes the style and knowledge it brings to the response. Example, act as a senior product manager. Review this feature road map and identify the three biggest

risks to hitting our Q2 launch date. The persona tells the model what lens to use. You're not just asking for generic feedback. You're asking for product management feedback. The output changes. I use this constantly for content work. Act as a copywriter specializing in landing pages. Rewrite this headline to be more benefit driven and under 10 words. Boom. Focused output. No wasted tokens. Tip four. Ask for multiple approaches. Instead of asking how do I solve this problem, ask give me three ways to solve this problem with pros and cons for each. This forces the model to think deeper and consider trade-offs. You're not getting one solution. You're getting options. and options let you make better decisions. Example, I need to grow my email list by 5,000 subscribers in 3 months. Give me three strategies. One, high effort, high reward, one loweffort, lowreward, and one experimental. Include estimated time commitment and success probability for each. That prompt gives you a strategic breakdown, not just ideas, evaluated ideas. Tip five, request selfch checks. After getting an answer, ask what are the potential risks with this approach? Or what assumptions are you making here? Deepseek's reasoning mode makes this especially powerful. You'll literally see it questioning its own logic. This is how you catch blind spots before they become problems. I do this on any high stakes task. Legal advice, ask for risks, financial projections, ask for assumptions, strategic plan, ask what could go wrong. The model will walk through failure modes you might not have considered. Tip six, placeholders for templates. If you're writing something reusable like an email template or a sales script, use placeholders. Prompt, write a cold email to potential clients, use company name, your name, and product name as placeholders. Then in the response, every mention will use those brackets. You just find and replace later. This is huge for batch work. And by the way, if you want 300 plus prompts like this already written and ready to copy paste, check out Prompt Lab inside AMS Pro. I use them constantly. Everything from freelance templates to business automations saves me hours every week. Tip seven, comparison prompts. One thing I love doing is setting up a pros cons list and then asking the model to pick the best option for a specific situation. Example, compare working from home versus co-working spaces. Give me five pros and five cons for each. Then recommend which one is best for a freelance software developer with a tight budget and no team. You get both the analysis and the recommendation. And because DeepSeek shows its reasoning, you can see exactly why it picked one over the other. Tip eight, iterate without fear. The first response is rarely perfect. Follow up. Make that more concise. Revise the second paragraph to be less formal. Give me a version that's more data driven. The back and forth is how you dial in exactly what you need. Don't treat the first output as final. Treat it as a starting point. Let me show you a quick before and after. Bad prompt. How do I market my product? Result from deepseek. Vague, generic advice, social media, email marketing, maybe try ads. Nothing you couldn't Google in 5 seconds. Good prompt. I'm launching a B2B SAS product for small marketing teams. Budget is $5,000 for the first quarter. What are three lowcost customer acquisition channels I should test and what metrics should I track for each result from deepseek specific actionable advice LinkedIn organic outreach with reply rate as the key metric content marketing via SEO optimized blog posts track and domain authority and organic traffic partner referrals with conversion rate and cost per acquisition clear next steps for each that's the difference specificity wins every time is this to Chad GBT or Gemini Killer? No, it's an alternative. For most people, it's good enough to save $240 a year. The real question is this. Do you actually need Chat GPT's ecosystem or Gemini's Google Workspace integration, or do you just need a smart AI that writes well, reasons clearly, and handles data? If it's the latter, Deepseek delivers. My recommendation, try it for one week. Use it for your actual work, writing, research, analysis, whatever you normally throw at Cad GBT or Gemini. See if you miss anything. I'm betting most of you won't. And if you do need Chat GBT for specific GPTs or Gemini for Google integration, fine. But use Deepseek for everything else. There's no reason to pay for tasks a free model can handle just as well. One more thing, the fact that this model is open weight matters. You can download it, you can modify, you can run it on your own hardware. If you've got this setup for developers, researchers, and businesses building AI products, this is a gamecher. You're not locked into OpenAI or Google. You've got options now. And if you want more AI tools like this, free, powerful, and actually useful, subscribe. I test these every week and break them down so you can start using them right away. And if you are serious about mastering AI beyond just one tool, check out AI Master Pro in the description below. That's where I keep all my workflows, prompts, and training in one place. And see you next time.