Every week, I try to test out just about every new model that gets released. This story I wanted to share with you is one of the trendy platforms that offers over 25 AI models in one place, including chat models, code, and many more, so you don’t have to tab-hop.
I had to subscribe to all these AI models with their platform which are going to cost around 100$ per month which is ridiculously expensive but with a chat background AI, it will save you up to 90% or less and you can access all these models in single dashboard
I am always playing with different models such as ChatGPT, Gemini, and Claude because each model gives a different answer and at the same time I wouldn’t say I like to navigate from one tool to another to know which model gives the best answer
As someone who constantly switches between AI models for content and data analysis, I find this tool has changed my workflow. Instead of running the same prompt through different platforms, you can now compare outputs side by side, compare and contrast, and choose the best.
Actually a pretty impressive tool. I have been playing around with it already. I am going to show you from top to bottom exactly what it is chat Background AI, what its features are, how it works and even how to use Chatground AI to compare these models
What is ChatPlayground AI?
ChatPlayground is a comprehensive AI platform that offers 16 powerful AI tools in one subscription. It provides industry-leading AI models, a prompt library for various use cases, real-time web search capabilities, image generation, history recall, multilingual support, and more. It is designed for developers, data scientists, students, researchers, content creators, writers, and AI enthusiasts.
Features :
ChatPlayground AI’s impressive array of features sets it apart from other AI platforms.
I’ve found that its ability to access multiple AI models simultaneously is a game-changer. This AI model diversity allows me to compare responses side-by-side, helping me choose the best output for my needs. The user interface design is clean and intuitive, making it easy to navigate between different models and features.
One standout capability is the Browser Copilot, which lets me use ChatPlayground AI while browsing the web. I can ask questions, get summaries, or rewrite content without switching tabs.
How it works?
Compare the models :
After signing in, you will see a list of all available models. For this experiment, we will select and compare six powerful models: ChatGPT 4o, Perplexity, Claude 3.5 Sonnet, Mistral Large, and Llama 3.2 3B. On the left side of the screen, you can view all the models you have pinned. To add a new model to your list, simply enable the toggle, and you’ll see “Command R” pop up.
I will include some coding models — Qwen 2 Instruct, DeepSeek V2.5, and Codestral Mamba — to evaluate the best options for coding tasks. Once added, all these models will appear on the left-hand side of the screen.
This time, we will verify the following items:
Content
let’s access the playground, we will chat with 6 models at the same time as you can see on the left side I have to select one for each chat of all available models on here. let me input the question on this box once I ask a question the model is going to generate the answer, so I am just going to ask a very basic trick question to these AI models and let’s see if they could answer properly so
what are two things you can never eat for breakfast?
the expected answer is lunch and dinner so let’s see what the AI answers
As we can see from the result of ChatGPT-4o, the response is correct and precise, and the riddle is directly answered in complete sentence form. The Perplexity response is accurate, but the bullet-point format and additional explanation are unnecessary for such a simple riddle. The Gemini 1.5 Pro answer is concise and perfectly accurate. Its simplicity works well for a riddle. The Claude 3.5 Sonnet response is accurate and provides a bit of context, but it feels unnecessarily wordy and formal for a simple riddle. However, the Mistral Large answer completely misses the playful intent of the riddle. It overanalyzes and introduces irrelevant answers. Finally, the Llama 3.2 3B response is accurate but lacks confidence and structure. Starting with a question undermines the authority of the answer.
Coding
Now, we are going to compare three models. Let’s navigate to the layout toggle and click on ‘Three Chatbots.’ On the left side, I’ll select one model for each chat: Qwen 2 Instruct, Codestral Mamba, and DeepSeek V2.5.
Since graph algorithms have recently captured a lot of interest, I decided to test these models with a medium-level problem related to graph algorithms from the LeetCode platform. Let’s see how each model performs!
Let’s enter the input and wait for the three models to generate their outputs.
As you can see, each model produces a different answer. I’m going to copy the code and test it out. All the code generated by the models was correct, but I feel that Qwen 2 Instruct is solid and offers a straightforward implementation. It uses BFS effectively, ensuring that every node is checked — even in disconnected graphs. In contrast, Codestral Mamba uses DFS with a stack, making it sleek and avoiding unnecessary iterations. The dynamic use of a dictionary for colouring is both intelligent and intuitive, especially for graphs where node indices may not be contiguous. DeepSeek V2.5 is similar to Qwen’s approach but feels cleaner and more concise. It also uses BFS, which is easy to follow and effective for level-wise graphs.
Browser Copilot
Let’s move on to the more powerful feature of Chatplayground AI: the browser Copilot. This is the second most popular feature, allowing you to pull up this AI on the sidebar of any browser. You can set up a shortcut to invoke it, but there’s also a little icon in the lower right corner.
Here’s a Wikipedia article, and as you can see, I have my Chatplayground icon down here. I can click on it, and the chat assistant opens. To give the assistant access to the content on the page, I just check this little book icon. Once I click that, it lights up, and now the assistant can engage with the page’s content.
But there’s more. You can customize little prompts. For example, if I go to the next icon, I can set up a prompt like,
read the following text and summarize it in less than 250 words
After I input the question, I just click ‘Generate,’ and the assistant provides the summary. It’s really helpful and cuts through long articles, allowing you to get the essential bits right up front.
One of the cool things I like about Browser Copilot is that you can use it with any social media platform. For example, sometimes I want to engage with an influencer and respond to a tweet. I can simply select the tweet, and then I get the Chatplayground notification.
I click on it, and all my prompts are there. I can choose to reply in a positive tone, and here’s my reply being generated. Once it’s ready, I can easily copy it, paste it into my reply, and submit it.
Keep in mind that I’m just using a built-in prompt, but feel free to create your prompts based on your preferences. By the way, in Browser Copilot, you can change the model with just a click of a button. You can choose any of the available models to suit your needs.
Vision
The last feature I want to show you in Browser Copilot is the vision tool. We can actually take screenshots and immediately submit them to our favourite LLM. Here’s the screenshot tool. I’m going to take a picture of this iPhone 16 Pro, then ask, ‘Tell me about this iPhone,’ and click ‘Generate.’ Let’s see if it can identify the product.
As you can see, Browser Copilot recognized it as an iPhone 15 Pro, released by Apple in 2023. The iPhone 15 Pro features a titanium frame, making it lighter and more durable than previous models. It’s pretty cool that it was able to identify the phone from the screenshot!
Conclusion :
ChatPlayground AI provides access to the best AI models, allowing users to compare and achieve better AI answers 73% more often with multiple chatbots. The platform offers industry-leading AI models for chat, code, image generation, and more, catering to various tasks and boosting productivity by saving an average of 9 hours per week.
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