Top Neural Networks 2026: Claude vs ChatGPT vs Gemini – What to Pay For

[00:07] for neural network subscriptions. This is half a million rubles a year for the use of artificial intelligence. I know every neural network inside and out. And in this issue, I'll break down which neural network I use in practice and for what purpose

[00:22] . This will make your choice much easier and help you save tens of dollars. and perhaps even hundreds of thousands of rubles on subscriptions. After watching this episode, you'll know exactly what's worth paying for, and where it's

[00:38] best to stick with the free versions for now, or even forego some neural networks altogether, because in 2026, the choice isn't as clear as it once was. Let's get straight to the point. so that you feel comfortable. I'll break it down into four

[00:54] meaningful parts: free neural networks and services that I use every day. The big three leaders, then our Russian services and finally the Chinese ones. The first obstacle that both beginners and

[01:10] experienced neural network users may encounter is limited access and difficulties with registration and payment. And here I will say right away that I have solved this specific problem for the participants of my free community in my Telegram channel, in my

[01:25] Telegram chat. So just go ahead and use a proven method that works. See how I built this episode. It will not compare one neural network with another. There are plenty of such episodes on YouTube. I’ll give

[01:41] plenty of such episodes on YouTube. I’ll give you specifics right away for each neuron, what I do in which one, and most importantly, why. Let's start with Perplexity. This neural network has long since replaced my search in Yandex and Google.

[01:57] I send all my requests throughout the day to her, because this neural network already has access to the best models from Antropic, Chat GPT, Google Gemini, Kimi, and others. To the basic ones and for free. But the latest, most

[02:13] powerful models are only available in Protorif. That being said, I don't Google anything that often, and to be honest, the free plan is more than enough for me. Also, specifically with this neural network, about six months ago, I had a story that

[02:28] I bought an annual subscription for it on Yandex Market, literally there, you know, for 800 rubles. That is, some kind of hyper-savings of 95% per year. and used the paid pro version for several months and everything worked for me. Then

[02:44] Plexity banned all such subscriptions, and I returned to the free plan. And then I came to the firm conclusion that there is no such thing as a free lunch. And I will never resort to such methods of subscription again. Now I

[03:00] take all my subscriptions only from a trusted place. I already talked about him at the beginning of the video. Look, when I had the paid version of Perplexity, I really enjoyed doing deep learning in it , but now I do that in

[03:15] other neural networks, and I'll talk about that a little later. Next up is Aquavoice, a service with built-in artificial intelligence. This is a service artificial intelligence. This is a service that converts my speech into text. And for

[03:30] more than 2 months now I have hardly typed anything on my laptop. And on the phone too. I have Aquavoice both there and there. And look what is valuable for me personally in this application. According to statistics, Aquavoice saved me 51 hours of

[03:47] my time. And if I extend the same calculation for a year ahead, it turns out that in 12 months I will save, just think about it, 306 hours, which, translated into days, will be 12 days or 24 working days. I use the paid version of this

[04:03] app. It costs $10 a month. But if this app is already saving me so much time, then I have no doubt at all that this choice was the right one. I will continue to pay for it with great joy. By the way,

[04:19] I'll show you something funny now. Somewhere here on the screen of my laptop that I bought, there aren’t even Russian letters on the keyboard. This is how far I have come in using the Aquavoice app. I just didn't need them anymore. And I'll

[04:36] say it right away: all the services in this issue will be linked to in my Telegram channel; there will be a selection there, and many will be free access. The same Aquavoice will be free for a whole

[04:50] month. Yes, and I also chose this application because you can write your own user instructions in it. how exactly the neural network should translate my speech into text. And if you want, you can also download this

[05:05] instruction of mine on Telegram, so that everything works for you right away, just like it works for me. I'll be happy to share. In conclusion, I will say one thing and my firm decision is that I will hardly return to typing anything on a laptop

[05:21] typing anything on a laptop other than entering a password or login. For everything else, I 100% need Aquavoice. And now I am completely satisfied with this service Aquavoice. And now I am completely satisfied with this service .

[05:34] I personally don’t consider Whisper or similar products. Look, we're just warming up. And ahead is an analysis of the main neural networks that cover 90% of tasks. So please give it a like in advance. Let's exchange positive energy with you and spend the

[05:50] next 10-15 minutes productively. Next, we'll look at market leaders such as Clot Chat GPT and Google G Mini. Or rather, not just the Google G Mini, but its ecosystem of

[06:03] products. Let's start with Claude. In most of my recent posts I say that I solve 90% of all my problems in Claude. And this is absolutely true. And over the last 6 months, I've noticed that I've been

[06:19] visiting the GPT chat very rarely, but I still maintain a minimal subscription to it. And let's do it this way, in the block about GPT chat I will explain why. So, Claude is an absolute

[06:31] leader for me, first of all, because of his real applicability in those areas of life and business that are now in my focus every day. And since I already have quite a lot of videos about Clod on my channel,

[06:46] quite a lot of videos about Clod on my channel, I will now give a short summary of the tasks I will now give a short summary of the tasks that I solve with the help of Cl. There is also a chat section, but if you use only it, then it is like

[06:58] use only it, then it is like using 1% of all the capabilities of this neural network. That's why I solve most of my problems in a coworking space. I like working here because it's, uh, a comfortable work

[07:12] environment, like a computer desk, where everything is very simple and very clear to me as a user, but Claude, in order to solve complex problems, order to solve complex problems, resorts to doing them through code. This is

[07:26] also an additional way to protect your data if your account is blocked . I wrote a whole separate issue about this important information because it's important. So, look, I'll list it very briefly.

[07:43] Most of my content work now happens in Claude. now happens in Claude. News and market monitoring, competitor monitoring and analysis. KloD also does all this . Further assistance with writing

[07:56] scripts for long videos, reels , shorts, articles, and much more related to the content production block . And it turns out that Claude copes with this remarkably well. They help him with this. I have ChatPй and

[08:13] Vraalli services. With them, I search for viral content and prepare carousels for Instagram. I do auto-posting and distribution of materials using a code word. However, this is only a small pool of services. And they teach much more

[08:27] broadly. I think that if you are involved in content production, then you have definitely heard about this Russian service. But if not, then the link to it will also be in this video with free access for 14 days. And although 7 days are usually given,

[08:43] this link will give you half a month. Further video and pictures. Claude doesn't know how to do it out of the box yet. And for this I have GPT and Google Nano Banana. Although have GPT and Google Nano Banana. Although through MCP, and I have Hixfield integrated into ClLD

[08:58] with a bunch of video neurons. But, honestly, video generation is still expensive. Hiix costs me $30-50 per month for a modest volume. And if you are not professionally involved in the production of neurovideos, then I would

[09:13] not bother for now. Furthermore, everything that concerns business tasks is cloudless, I concerns business tasks is cloudless, I no longer see any point in took away from me the entire hated operating system, which always bothered me the

[09:28] most and took up a lot of resources and energy. I am used to thinking like a strategist, like an innovator. I have a knack for finding strong ideas at the intersection of a large number of variables. But what I really don't like to do is manual

[09:42] micromanagement. And Claude became a huge help to me in this . Here I will also jump from thought to thought a little and say that I make strict business presentations and commercial proposals in Claude. And if I need a beautiful

[09:56] Claude. And if I need a beautiful design presentation for speeches or for students, then I take Gamma. I keep turning on and off the subscription. After all, the free version has few slides, while the paid version allows you to create large presentations of

[10:12] 60-100 sheets. And it looks really cool. But again, the advantage of the cloud is that I can work with all these services from within the cloud by connecting them via connectors. And now I am openly showing you most of

[10:29] my connectors. And you can see what other services I also use every day. Besides this account, I have five more subscriptions to Claude, which are used by the guys on my team. And there are already connectors for each direction

[10:45] . It is also important to note that I, or rather, 98 of my agents, still use the same subscription. For now, Claude has allowed us to continue doing this,

[10:57] but soon the shop will close, and we will have to pay for the API separately. But for this I already have two super-profitable, proven solutions. I will reveal them in new issues when we get to this topic. What else is important to say about CLD? So what he is is a

[11:13] great coder, and we can make great products with him. I show this in my episodes all the time. Basically, Anropic's codec and chpt's codec are my personal favorites for this problem. I kind of switch between them all the time for

[11:29] this purpose. They take turns becoming the best. And it seems to me that this race between them will continue to be constant. Well, or some other new player will appear

[11:41] . Look, I once conducted a survey among participants on my Telegram channel , and I said that if I had the opportunity to choose only one neural network in my life, and the condition was that I had to give up all the

[11:55] others, which neural network would it be? And the opinions on the channel were very divided. Some said KloD, some said that this is the entire Google ecosystem,

[12:07] some still voted for the GPT chat. But my opinion here is that I would But my opinion here is that I would definitely leave Claude, since he is now, for me, like an ideal partner, like a neural network in

[12:23] most of my business tasks. Now a question for you. If you had to keep only one neural network and abandon all the others, which one would you choose?

[12:35] Write in one word in the comments there: Cloud, chat GPT, GMIN or something else. I'm really curious if the answers have changed over the year. Just write one word in the comments, and I'll send you all the useful materials

[12:52] from this video. There are also links and instructions there. Let's move on. For deep instructions there. Let's move on. For deep research, I never rely on just one neural network. I send the same request to Chat GPT, Gmini,

[13:07] Perplexity, and sometimes I even connect an LM laptop, but time after time Chat GPT gives me the most accurate result. That's exactly why I still have a paid subscription to it . I'm also really liking how

[13:23] GPT chat has been handling image generation lately. Sometimes even more than Google with its nanoban. And I'll tell you honestly , if I were now faced with a choice and told: "George, look, you now have to

[13:38] "George, look, you now have to choose either this or the GPT chat," I would still choose without a second thought. And I think that literally within a week I would have completely forgotten that I ever had the GPT chat. The only thing I would

[13:52] miss and what I would, or rather, miss is the code for wipe coding. And the fact that there is a GPT chat, the fact that you can speak Russian with it. But right now, what I wouldn't want to give up is the huge,

[14:07] mega-cool Google ecosystem with its neural network infrastructure. And a couple of months ago, I also recorded an episode about how the Google ecosystem with a $20 subscription includes access to more than twenty different

[14:24] neural networks. That is, in addition to the subscription, I get not just a chat, but GMI 3.1 Pro with memory for a million tokens, Veo for video, a nanoban for images, the same

[14:36] in-depth research, and 5 TB of Google Drive storage. And the drive was recently upgraded from 2 TB to 5 TB for free. And to get a better understanding of what's included in Google's product ecosystem, I'd, of course, simply

[14:52] recommend you watch my overview episode on this topic sometime. Now I'll tell you briefly about what I actually use every day. Well, first of all, there's the LM notebook. It's a super service. It's my real

[15:06] knowledge base, where I store a ton of things in notebooks . It's easily accessible from both my phone and my laptop. And, really, from any browser. The LM notebook is even available in a free version. I feel a bit awkward

[15:21] mentioning it again in this episode, but I have two specific and practical videos about the LM notebook on my channel. And to really experience that wow factor, I recommend using the LM notebook to create your own AI

[15:36] specialist. The instructions are here and below the episode. Regarding Google Gemmini, the main neural network, is now very convenient for me to work with images, and with video, for example, with deep research. And Google Gemmini, with

[15:52] its entire infrastructure, also helps me a lot in marketing and content production. And this is another neural network, or rather an entire ecosystem, as I said

[16:04] before, for which I don’t mind paying $20 a month. And I will also happily continue to do so. This minimal subscription opens up a lot of possibilities . And I’ll literally say a few words about the growth from Elon Musk, the

[16:20] first dollar trillionaire on planet Earth, for which I, of course, congratulate him. After all, for us, small and medium-sized business entrepreneurs in Russia, Elon is not just a moon away from you, but a Mars away. And you’ll most likely get to Mars

[16:36] faster than we can get to your level of wealth combined . Regarding the growth, I’ll say this: in my opinion, it’s a crude neural network, and I don’t use it at all . That being said, Three months ago, you could make animations in Grock

[16:51] for free, and at least it made sense for me back then. But since March 2026, video and image generation has been a paid subscription. Text is limited, so you can , I don't need it even for free. Considering that now, even

[17:08] CLOD, GPT, and G Mini can do it. But I also want to say a few words about Chinese neural networks. Look, I make the hooks at the beginning of my videos in KLlin. It's videos in KLlin. It's version 3.0 now. It already seems to think, and with

[17:23] scripts, it adds sound automatically. And the standard $10 plan in Kling is enough for me for about 5-6 videos. I'd say Apsik and Quen are the starting Chinese neural networks. And if you want to start interacting with

[17:39] to pay for them yet, then overall, this is a good start. Plus, Depsik can be installed as a local neural network on your laptop. I'll talk about this in In a separate episode. I'm planning on filming one. Ultimately, I hardly use Chinese ones

[17:54] , but I have Quen specifically integrated into my agents as one of the neural networks they have access to. Why Quen? The reason is super trivial: API. Chinese ones are 10 times cheaper in terms of API, and flagships cost around 20-30 cents

[18:11] per million tokens versus $5-$15 for the top ones. And when an agent runs $5-$15 for the top ones. And when an agent runs thousands of queries in the background, this price difference, of course, makes a huge difference. So, the episode has already turned out to be

[18:25] quite long, and I was planning on making it literally 15 minutes long. And since it has little practical application, I generally don't like that kind of thing. So, let's do it this way now. Now I'll give my main recommendation, but before that, I'll say that I've

[18:41] recommendation, but before that, I'll say that I've compiled all the neural networks from this episode and about seven more very valuable ones that I didn't have time to share in my Telegram channel. And as a conclusion, I would advise you to follow the

[18:55] following strategy. Everyone should have one main one right now. The neural network is like a kind of, you know, main control panel, where he spends most of his time. You can choose it depending on the specifics of your

[19:09] work. And since I'm in business, I create content, conduct training, consult, it's more convenient for me to do all of this, uh, in Claude. And I spend 90% of my time

[19:23] there. At the same time, I have other services and other neural networks connected to the LOD via connectors. So, I'm not really abandoning them, but I'm not really abandoning them, but I'm no longer managing them. Claude manages them. There's

[19:38] Mira, Gama, Obsidian, GitHub, Verl, Hkild, ChatP, and many others. They're Hkild, ChatP, and many others. They're managed by Iishka, not me. And you know, over the years I've realized one important thing: any tool only scales what's

[19:54] inside a person. Give a powerful neural network to someone who wants to create value, and they will create it faster. Give it to someone who brings chaos, and they will arrive at chaos faster. And therefore, it's not about quantity.

[20:09] Subscriptions. The point is what you bring into this world through them. And with that thought, I think I'll end. My name is Georgiy Rivera. Win with love, act from the future. And see you soon on my Telegram channel, in the chat, and in new

[20:25] Telegram channel, in the chat, and in new episodes. Thank you.