Master Any AI in 2025: Ultimate Comparison Guide (from ChatGPT to Gemini)

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Large language models are rewriting the playbook. And if you're not riding the wave, you're stuck on the shore. But who's time to test drive every single model out there.
That's why we've done the heavy lifting for you. This video will speedrun the hottest LMS, break down what they're best at, show you exactly how to prompt them, and drop insider tips you won't hear anywhere else. By the end, you will know which model fits your style, and how to make it sing.
This is the last LM crash course you'll ever need. Chad GBT is the goat. Everyone knows that.
Take any person's laptop and you will have Chad GBT open in a separate tab. It was the first one to hit the market and all other LMS were modeled after it. The interface, the features, the internal logic.
All other LLMs get new features only after Chad GBT gets them. And in this channel, we have tons of videos already about everything you might want to know about Chad GBT. And I suggest you watch those.
Here's our full guide to the GBT 4. It's a halfhour crash course into chat GBT. Here's another one where we go over all the new features like canvas task scheduling or deep research.
And here's our latest guide to the new image generation in the GBT40. So if you want to learn CHBT, watch those videos. And for learning generative AI in general, welcome to our brand new course into generative AI.
I know you might imagine typing over your webcam and mic whenever you hear meta, but trust me, it's actually pretty cool. Meta AI comes in two versions. There is a separate website and there's an AI that's built right into Meta's larger platform.
The web version is pretty simple and has almost everything you need. I'd put in about the same level as Sorro when it comes to replies and features. Of course, it can write articles for you or blog posts and it's right in style is pretty close to Chad GBTS.
Meta AI runs in a model called Lama and they've been updated like crazy. bigger context windows, improved ways to handle different kinds of content, and better logic. It's honestly a good model, and the fact that they let people use it for free is a nice move.
Feature-wise, Meta AI in the web is really flexible. Can handle nearly anything you throw at it, like images, PDFs, text documents, and data files. It also has a memory you can update right in the chat.
I haven't seen a special menu for managing or wiping that memory like Chad GBT has, but it still remembers whatever you tell it. It doesn't pull info from different chats though, so I'd recommend using that one conversation as your go-to place for instructions. Just start with remember that and then list your preferences.
There is a canvas mode too which feels a bit like Chad GBTS, but it's more like a write in workshop. You can highlight any bit of text and ask for a rewrite, change the entire text or drop in images. It's pretty fun.
Just highlight a word, tap imagine, and the AI generates four images right away for that spot in the text. You can even tweak the prompt to change what it shows. The canvas editing window itself is bigger than chat GBTS with a smaller chat window.
It's missing some convenient controls, but it does have formatting tools. Overall, it's a nice feature, especially if you like to write. And of course, if you're aiming to replace chat GBT, you need image generation.
Meta AI has that covered. It's sort of like Adobe Firefly. You can generate an image in the chat, pick the one you like, and then edit it if you want.
You can also adjust the settings for all four images, like changing the aspect ratio, lighting, or style, and you'll see them update in real time. It's not the best image generator out there, but it's solid and gets the job done. It struggles a bit with putting text and images, though.
That's the web version of Meta AI, but Meta AI has really grown into an entire ecosystem. You can even use it in Facebook chats and comments or through Meta's glasses. I'm not the biggest fan of everything Zuck does, but you have to admit it's neat.
Can find info, handle vision tasks, all that good stuff. The glasses are basically the full Meta AI experience, but you don't actually need them to use the tool. Even without the fancy hardware, Meta AI is a strong option.
AI is the mind behind all the innovations. If you want to master these skills and understand how these tools are built, or maybe build one, then Skillup is the platform to learn these skills. They're sponsoring this video and Skillup by Simply Learn honestly feels like it was designed for all of us AI people.
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And these aren't just slapped together lectures. Each course is built in collaboration with industry pros and top tier partners like Google, Microsoft, and AWS. So, you're not only learning the theory behind these topics, you're getting the kind of knowledge that's actually used out in the real world.
One thing I absolutely love about Skillup is how flexible it is. I mean, I've been watching videos on my iPad while waiting for a coffee to brew and even sneaking in a few lessons on my phone. It's all self-paced, so you don't need to worry about juggling strict schedules.
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Answer this. What is a Chad GBC killer? Is it just some tool that does everything better?
I think can also be a tool that lets you do a bunch of stuff in one place, like using different AI models under one subscription. That's exactly what PO is. And it's really interesting if you know how AI tools differ and which ones specialize in what.
With PO, you can switch between them to get better results. That's the whole point. You're not stuck with the single model.
You basically get them all. The list of models is crazy. I scroll and scroll and it keeps going.
Lamok, Grock, Gemini, Deepseek. I can even use Chad GBT 3. 5 here.
Then each model has its own chat with most of the features you'd expect. Multimodality is on board. So I can upload images for analysis, PDFs to grab text from, and so on.
Which features you get depends on the model. So if it can do something, Po won't magically force it. But all the usual prompt and tricks still work like they normally do for each model.
It's a great way to explore AI and figure out which model fits your needs best. I love how flexible PO is. If a model has canvas, PO will open it without any trouble.
If a model like 11 Labs can do audio, gives me simple audio tools. If the model needs more reasoning, it does that too. I can even create my own apps because of the built-in cloud integration.
For instance, I made a quick app for removing the background from an image. One click and I'm already uploading my photo. PO has a model of its own, but it's just okay.
Fortunately, each response has a button underneath to compare that same response with another model. So, unlike with Chad GBT, you can swap to a better model in the middle of the chat if you feel like it. Don't say you weren't waiting for this one.
Gemini 2. 5 Pro. For years, Gemini has been a mustave in videos like this, but this time it really deserves its spot.
Right now, it's pretty much what GBT5 could be, except it's from Google and free to use. You get up to 50 messages per day with its top model. Then it drops to smaller one that's still almost as good as 40.
Until GPT 4. 1 arrived, the simplest advantage of Gemini was its 1 million token context window. Now, Chad GBT has cut up to that number and Google is only weeks away from doubling Gemini's token limit.
By the time you're watching, this might have already happened. Gemini can remember a ton of information at once, which is a big deal if you like long AI chats, maybe you're planning project, summarizing huge sections of text, or building each step as you go. Chat GBT does have memory, too, but it might lose some details if your conversation stretches on too long.
Gemini can handle more data without forgetting, which helps a lot when you're writing lengthy essays, digging through piles of information, or needing the AI to recall earlier points from your discussion. When it comes to searching online, Gemini often goes a step beyond Chad GBT because web search is on by default and also works with its best model. It's not just about giving a quick answer.
Gemini can pull info from different places and mix it into one detailed response even if you didn't specifically ask. Sure, there is a deep research mode as well and it performs as well as Chad GBTS, but most of the time you can get what you need without it. One of the best things about Gemini is how smoothly it ties into Google services.
You can connect it to Docs, Sheets, Drve, Maps, and plenty more. That means you can grab notes from Drve, ask for directions, or gather travel tips without juggling multiple tabs. Chad GBT can do something like that with plugins, but those can feel like an extra layer that doesn't always work perfectly.
The only area where Gemini lags behind Chad GBT is image generation. Don't get me wrong, it's solid here, just not as good as GBT40. Sometimes it messes up text, messes a part of your prompt, or isn't totally consistent.
Still, for a free image generator, it's quite good. And to your surprise, Gemini is actually better than Chad GBT when it comes to multimodality. It works with a wider range of files.
Of course, Gemini handles large PDFs, word docs, or text logs easily. You can attach these files, mention them in your question, and Gemini will summarize or analyze them. It also works with images, audio, and even videos.
Yes, videos. Its coding mode is also stronger. It's fantastic at debugging.
supports popular coding languages and can even run code right in the tool. Look at this game it fixed. No plugins needed.
Just paste the code and it works. And sure, Canvas supports code in here, too. Gemini today isn't the same Gemini we knew year ago.
Now, it's leading the pack and OpenAI will need something really special for GBT to catch up to Google. Grock was first released a few years ago and has changed a lot since then. Now, it's a worthy alternative to Chad GBT, especially considering how much you get for the price compared to the features.
For starters, it has pretty much all the same essential abilities as Chad GBT, can write articles and do web searches just as well. So, that alone isn't the big draw anymore. Rock works a lot like Chad GBT and serves as a perfect example of generative AI, specifically an LM.
Since most LM share the same basic principles, learning the fundamentals of generative AI will let you use almost any LM effectively. That's exactly what we focus on in our brand new 101 crash course into generative AI at Geek Academy, where we show you how AI interprets prompts, how to prompt properly, and what common mistakes to avoid. We're adding new lessons every week and the course covers everything from the inner workings of AI and the logic behind tools like Chad GBT to in-depth tips and prompting for image generators complete with concrete examples and insights into their popular features.
We also explore developer tools and coding assistance in real life situations plus essential prompts and templates. Beyond that, we dive into music and video generation tools, AI avatars, texttospech options, and so many others. Basically, if it has to do with generative AI, it's in our course guiding you from zero to pro under one Geek Academy subscription.
And right now, we're offering a massive 80% discount on a 6-month access to Geek Academy. It's a limited time offer, so don't miss out. What really stood out to me was how convenient and logical Grock feels.
If I want to research something, I have three ways to do it. One is to just ask a question normally, which triggers a quick simple web search. The second option is deep search, which takes around a minute and pulls together more thorough and concise info.
Grog gathers data from various articles and in other half a minute puts together a solid chunk of text with conclusions and summaries. The last option is deeper search, which is basically Grock's version of deep research in Chad GBT, but way faster. The request I tried would have taken Chad GBT at least 5 to 10 minutes and Grock did it in three and a half complete with links, detailed info, and neat formatting.
Another cool feature is that I can turn on reasoning anytime without having to switch models. This reasoning mode works about as well as GBT1 or GBT3, only faster, and it doesn't cost anything extra. By now, Grock is basically that omni model.
GBT5 is aiming to be one model that can do it all. It writes, handles files, does web searches, and even generates images all from the same place. Image generation here is pretty cool, too.
I can upload a picture and make edits like adding glasses or upscaling. And unlike the latest Chad GBT image tools, Gro keeps everything consistent. Chad GBT sometimes shifts the whole image around when you edit it.
Granted, Grog might not be as sharp as Chad GBT at generating text and images, but the overall edits work really well. Creating new images is super simple and follows the same rules as Chad GBT. The editing window just works differently.
Grock doesn't let you pick a specific part of the image to edit. Instead, you choose between subject, background, or style. Once you pick, you don't confirm anything.
The changes appear almost instantly. There is also a prompt for bigger tweaks. I really like this image generation.
It's consistent. It's reliable and free. I agree that Grog has fewer flashy features than Chad GBT, but some parts are just as good or better.
Consider the workplaces for instance. They're basically the same idea as spaces in Chad GBT. You have your own files, your own chats, and your own custom instructions for every conversation in that workspace.
There aren't a ton of settings to tinker with, but you can set your own custom instructions or just presets for different response styles. You can also manually switch gro into one of the suggested roles like specialist, doctor, or therapist. It's basically the same as typing a prompt beforehand.
It's still a handy extra. I really like Grog. I definitely need to do a full video on it.
Oh, wait. I'm already working on that. So, subscribe if you don't want to miss it.
I always used to wonder why can't I run Chad GBT right on my own laptop. I know the model is huge and needs tons of resources, but come on, wouldn't that be cool? Well, guess what?
Now I've got Chad GBT on my MacBook through a console. The only catch is that it's not really Chad GBT at all. It's a tool called Deepseek.
The biggest advantage is that Deep Seek is totally free. Chad GBT hides his best stuff like advanced reasoning and unlimited image generation behind a monthly fee. Deepseek doesn't charge anything for advanced reasoning or any other main feature.
You sign up and you get everything and offers no payw wall. Right now the tool does lack some of Chad GBT's extras like image generation, deep research, and canvas, but it does have advanced reasoning and web search. Even though the web search doesn't always work perfectly, that reasoning feature is basically a direct clone of GBT1, but it's actually better.
When you ask it something, it breaks down the steps in a little thought process panel that you can see. This step-by-step method makes the AI's answers clearer and more accurate. It takes about as long as GB01 with results just as thorough, clever, and original.
Then, DeepC goes further, can handle files. GBT01 can work with images that have text in them, but can tackle an Excel data set. Deepseek is exactly what you use if you want to parse data, find patterns, or spot correlations, and because it runs locally, it's a perfect sidekick for data analysis.
It can generate graphs yet, but will probably change soon. Those same offline abilities also make it great for developers. You can ask for a simple HTML layout, a small Python script, or even a basic JavaScript game.
Deepseek doesn't just generate the code, can actually run certain demos right in the chat. For example, it might whip up a quick snake game and you can play then and there. Think about how much easier coding could be with a model like this running in the background.
Granted, you would need a powerful, pretty powerful computer, but it's still awesome. How do you install it? All you need is a single app, bit of storage, and a few clicks.
Then you're all set and your data stays on your machine. You install it using a tool called Alama which sets up DeepSeek for you without a bunch of technical headaches. Don't forget to check out our full Deepseek guide if you want detailed instructions on how to do it right.
Deepseek also has a mobile app. It's not as slick as Chad GBT's official app, but it does have the same features as Deepseek on on your computer like reasoning, data analysis, and web search. It's laid out pretty much the same with a simple chat window.
Two toggles for advanced reasoning and web access, plus a button for adding files or snapping pictures on the spot for OCR. I've only found two real issues with DeepSeek. One, the servers can be busy a lot because there's so much hype.
It's not as bad now, but sometimes you'll still see a server busy message. And second, if you want image generation, you've got to use another tool like Janice from the same developers. Janice doesn't give you a ton of control, but it can generate high quality images pretty fast with no fuss.
I really hope they bake that into DeepSeek soon. I'm not fully switching over yet, but I keep it on my Mac for those moments when I'm working on with private files or stuck without internet access. I get this question from friends all the time.
I don't like switching models in CGBT. What should I do? And my answer is always the same.
Use Claude. The latest version does all the model picking by itself. For easy stuff, it uses simpler models.
And for more difficult tasks, flips to its reasoning model. And by the way, that reasoning model is right up there with GBT1, but with 03 level speeds. Claude isn't just CHBT clone, and it can really shine in areas where Chad GBT might slip up.
You might notice something about Claude's responses. is they tend to feel more thoughtful, more careful, and sometimes more detailed than Chad GBTs. This reflective quality isn't just random.
It's because Claude is trying to weigh context very carefully and lean toward clarity over confusion. Claude's big context windows might sound like a technical detail, but they actually make a big difference in keeping the AI focused. It's better at sticking to single narrative over long conversations.
I tried copying entire chapters of text or big sets of data into Claude, then asked specific questions about each part. It rarely mixed up questions or forgot what it read and it really seemed like it was actually holding on to older messages instead of guessing once things got complicated. If I want to compare it to Chad GBT for writing, Claude can definitely keep up.
Its paragraphs usually feel more structured and cohesive. Chad GBT sometimes loops back or jumps around if you throw it complex prompts while Claude breaks ideas down more directly. Both AIs can produce usable text, but Claude's calm and organized style can come off more purposeful.
That said, Claude could use an upgrade in a few areas. It needs to learn how to generate images and handle them better, and its OCR could stand to improve. It also needs better multimodality.
Right now, it doesn't support a ton of formats and it and isn't amazing at data analysis. As for prompting, Claude is good at understanding natural language, but some of its prompt and practices feel outdated, like something from 2020. We have a whole guide on our channel about Claude, plus some handy PDFs and posts over at Geek Academy if you want to dive deeper.
Another interesting point is how Claude deals with writing style preferences. If you pace your own writing and ask Claude to mimic it, it usually does so without sounding forced. Chbtt can do that, too.
But sometimes it goes too far or misses the subtle things in your wording. Claude is better at picking up on those little hints like how fast or slow your sentences flow and exact tone you're aiming for. That might seem like a small edge, but if you need the AI to match your personal voice for a big writing project, it's really helpful.
Sometimes Claude will refuse to answer certain questions, but that doesn't happen much in everyday use. Of course, Chajiti can still be more playful or creative if you're just messing with it for stories or brainstorming. Claude can be imaginative, but usually balances that creativity with a bit more logic and caution.
Mestral is a French AI that's been quietly improving behind the scenes, and now it's finally a solid option you might actually want to check out. I won't pretend it's flawless. No AI is.
But what's great about Mistl is that it kind of reminds me of Chad GBT in in its early days before it turned into the enormous beast it is now. Mestral is simple, almost bare bones, and that's part of its appeal. When it comes to general writing, it's basically on the same level as GBT40 in terms of quality and depth, but Mistral is faster.
It splits out answers in just a few seconds, much faster than Chad GBT can do. Web searches, look over your code, and generate images. It even has a canvas feature.
The catch is that using Mistral can feel a bit awkward because even if you switch on all these tools, you still have to actually call them out by name. Canvas doesn't pop up automatically, so you have to literally say use canvas. Still, it's a pretty cool mode.
You can highlight chunks of text to rewrite and you get handy controls for length, style, and other editing settings. I like how the canvas stays in the middle while the chat window shifts to the right. Just don't try generating images inside canvas.
It won't insert them the way Meta AI does. As for coding, it's decent, but nothing too advanced. It can look at code catchbooks and point out errors, but it doesn't have built-in frameworks to preview your app.
So you can't see a live version of your code like you can in Gemini. Personally, I wouldn't rely on Mistral for coding projects. Image generation is okay.
Nothing earthshattering. It follows prompts well enough and the results look all right, but it's it'sn't a lot of controls. I also notice it's more sensitive to detailed prompts than other image generators.
You really have to specify style, framing, composition, that sort of thing. So, no, Mistral isn't going to replace GBT40's new image generator anytime soon. One area does shine is file handling.
You can build a little library for each chat, making it simpler to refer back to those files later on. That's a small but handy feature. My favorite feature in Chad GBT has always been deep research.
I'm serious. Every video we make starts with deep research, but it costs money. So, for a free option, I always suggest Perplexity.
It may not be a GBT killer, but it's definitely a deep research killer. Perplexity is really a research tool at heart. It doesn't try to do every single thing.
It just does research really well. Its results are almost as accurate and in-depth as Chad GBTS, and it's basically free. It doesn't go for Chad GBT's friendly tone either.
Focuses on delivering factual answers in a direct nononsense way. I actually appreciate how perplexity gets straight to the point. I agree that file handling is better in Chad GBT.
It's fully multimodal and perplexity is more limited. Perplexity isn't designed to process huge data sets, but it's perfect for PDFs, short code snippets, or smaller word docs. You upload them, describe what you need, and the AI either summarizes or breaks the text into manageable parts.
Perplexity also lets you group these files into spaces which act like folders for your chat threads, documents, and even screenshots. Going back to research, the basic mode is good, but Perplexity also has a proarch mode which works like the deep research we all know and love, but instead of Chad GBT's methods, it uses its own algorithms. So, you'll usually see a different approach.
If you turn it on, it makes Perplexity dig deeper and use more advanced reasoning. And instead of hiding footnotes or skipping them altogether, Perplexity shows its sources right at the top of the reply. This is one area where it might actually do a better job than Chad GBT for those who really want transparency.
But there's more. Focus is a neat feature that tailor the system for different types of data. There are five options: web, academic, video, social, math, or writing.
In academic, for example, Perplexity pays special attention to peer-reviewed articles and well-known research. Perplexity's coding skills are practical, but they're not the centerpiece. You can paste a Python script or a C++ snippet, and it will point out small bugs or suggest minor improvements.
A few parts of Perplexity might feel niche, like the pages tool that turns your chat into an article-like format. You might not use that every day, but it can be useful now and then. I love Perplexity.
But to really make the most out of it, you should stick to research tasks. For everyday stuff, I'd still choose Chad GBT. Over the years, Chad GBT has become such a big name that it's hard to find true replacements.
Every new tool tries to match it or outdo it. Some do manage and some don't. GBT5 will probably be a fantastic model and might pull ahead of the pack for a while until Google or X AI steps in again with an update.
So, would you really ditch Chad GBT for something else, especially after you learn how to use it well in our new AI crash course? Thanks for watching and see you in the next video.
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