Ever wish you could use all of the premium AI chatbots in one place without paying for anything? With Vear.com, that wish has come true.
I was excited to discover Vear a few months ago while I was working on a particularly monotonous project. Since then, I stopped bouncing between different AI chat apps in different tabs, and was even able to cancel my ChatGPT pro subscription.
Vear is an AI aggregator, a hub where you can access over 20 different AI models from OpenAI, Google, DeepSeek, xAI and even Anthropic. You don't even need API keys, or accounts with those providers yourself. All you do is choose a model from a drop-down menu and ask your question.
Today I'll share with you my experience using Vear, and why I believe it's the future of AI.
How It Works
If you can type text onto your computer, you can use Vear - it’s that simple. When you visit the site, you could either input your text directly to get a prompt, or a specific AI model you want to answer your question from the drop-down menu.
The list of model options is long, you can choose anything from the latest GPT variants, Claude, Gemini, Grok, DeepSeek, and even image- and video-based generative AI.
If you're not sure what to pick, the default is often a good starting point or you can experiment to see what tone you prefer from different models.
Once you select your model and submit your prompt, Vear will forward it to that AI and display the response in the chat. It behaves just like using that AI's own chat in the response time is identical. In fact, I sometimes forgot I wasn't on the original ChatGPT site because the experience was so seamless. The cool part is that you can also switch to another model with the same chat window and ask the same thing without opening a new app. So if ChatGPT answers one question you could pull down the menu and switch to Claude then hit send again to see how that answer might differ. All your chat history will stay in one place so you can refer back to it later and use it as a knowledge base to refine additional questions.
Another awesome feature on Vear that's not only convenient but time saving is the multi model mode. I hadn't seen this before on other AI platforms, but basically it's the ability to get multiple AI models to answer the same question at the same time and then merge their answers into one result.
All you need to do is toggle the mode on in the interface then choose four different AI models to tackle your question. You can either stick with their default selections or select your own based on the over 20 options available. Then you choose the fifth model to combine those answers into one cohesive response. Basically it takes the four individual answers and combines them into one response like an editor summarizing inputs from four experts.
Once you hit send, Vear sends your question to all four selected AI at the same time and you'll see the answers come in one by one each labeled with which model wrote it. The combiner model will generate the final answer.
The benefit to this is that you get different points of view for the same question and since each AI model has its own strengths and weaknesses, combining four of them and refining them with a fifth can eliminate any inconsistencies, and give you a more comprehensive view on a topic than one model alone.
This is especially helpful if you’re a researcher, student, or writer, since you'll receive a more thorough and well rounded answer than relying on a single AI. For example, Grok is known for its joking tone while Google's Gemini is known for having a larger knowledge base thanks to its ability to search the web directly. Models like Claude are known for having a more neutral tone with concise answers, so if you combine these models, you might get something more knowledgeable, friendly, and concise then you would if you'd used just one.
I've found it especially useful for brainstorming and idea generation: when I ask a creative question using multi-model, I often get a blend of imaginative angles (maybe coming from Claude or Grok) plus structured, factual content (from GPT-5 or Gemini). The combined answer brings these together, which can spur ideas I wouldn't have gotten from a lone chatbot.
Another big benefit is time-saving. Before using Vear, if I wanted to compare answers from different AI models, I had to manually query each one on its own site and then read through each response. It might involve logging into multiple accounts and copying and pasting the question repeatedly, but now I ask once and get everything at the same time, within seconds. Over the course of a workday, that's a lot of saved time (and fewer browser tabs cluttering my screen!).
My Experience Using Vear
While Vear is super simple and straightforward, I thought I might go in more depth into how my experience was using it the first time.
First, I didn't need to install anything since it runs entirely in the web browser. I just navigated to the site and was able to try it out immediately without logging in. As a guest user, you can run a handful of chats per day, but if you sign up for a free account with your email, you can unlock unlimited chats and use the multi model feature as well. There's no payment info required and they don't even have ads on the site.
Like I mentioned before, the interface is super straightforward. You just type your text into the box, and then select the model you want from the drop-down menu or toggle, multi model mode on and select your four models and the fifth combiner.
You also don't need to fiddle with any technical settings and Vear doesn't ask for API keys or tokens, so it works right out of the box.
The best part is, using it was just as fast as using each model on its native platform. Single model replies come back just as quickly as using the multi model mode, even though it's doing more work. On my test with multiple models, I saw the individual answers appear almost simultaneously, and then the merged answer appeared a moment later.
So far, the answers I've gotten from Vear’s combined mode have been just as high-quality as they would've been if I had used individual AI models. While no AI model is perfect, it does make it a lot easier to note any inconsistencies or factual errors since I no longer have to manually research every single output that I receive since three other models are giving me responses at the same time. Even though it gives you a merged answer, it doesn't hide the original sources so you can always review the separate outputs to double-check facts or see which phrasing you prefer.
I know I said the best part was the speed but really the best part is the fact that it's completely free. There are other AI tools out there that advertise free services but only give you a limited trial or restrict the best models. Vear is entirely free, and there are no paywalls, no ads, and no limits or usage caps.
Previously, I was subscribing to ChatGPT pro which is a $20 a month subscription for unlimited access. Over the past three months, I've saved literally $60 since I switched to Vear, plus I've been able to use the premium versions of every other AI model on their platform so who knows how much money I've really saved.
Additionally, the team behind the site actively updates it regularly, and I notice new models being added every time a provider releases an update.
Vear vs. Other AI Platforms
Since looking into it, I’ve found that there are a few multi-model AI platforms and chatbot aggregators, but in my experience Vear stands out for a couple of reasons, the first being truly free access. Some other platforms (like Poe by Quora, or certain AI companion apps) do let you access multiple AI models, but often they will charge you for using premium models like GPT-5 or impose strict limits unless you pay. For example, Poe allows GPT-4 usage but only a handful of times unless you subscribe
The way Vear combines answers is also pretty unique, and I haven't seen another that actually merges multiple AI responses into one automatically. Plus, there’s no technical setup required, whereas if you tried to DIY a similar setup, it would be complicated (imagine managing API keys for five different AI services - not fun for the average user). Even some AI aggregator tools expect you to bring your own API keys for models, which can be a hurdle.
The learning curve is practically zero, though I do recommend that if you're testing multi-model answers to try a variety of question types to really see how the different AIs complement each other.
Having used Vear extensively, it’s become a staple in my daily workflow, whether I'm troubleshooting code, drafting an article, or just asking random questions that pop into my head. There's really no downside to giving it a try - you don't even have to spend money or install anything, so if you're someone who relies on AI tools for work or study, Vear could simplify your life. Even if you're just casually curious about AI, it's a great playground to experiment with different models without hassle.