If you use LLMs or train LLMs, it’s pivotal to compare multiple to stumble upon the best one. You can install them on your computer or on a cloud-based platform to compare them. However, there is a better alternative: using specific LLM Comparison tools to query multiple LLMs simultaneously, all using the same prompt to compare their outputs.
Query multiple LLMs at once using LLM Comparison Tool
If you want to chat with many LLMs simultaneously using the same prompt to compare outputs, we recommend you use one of the tools mentioned below.
- ChatPlatGround AI
- ChatBetter
- ChatALL by Toolify
- TeamAI Multi-LLM Chat
- LM Arena
How to chat with many LLMs simultaneously using the same prompt to compare outputs?
1] ChatPlayGround AI
ChatPlayGround.AI is one of the leading names in the world of LLM, as it offers us the option to compare multiple LLMs. It lets us compare 40+ Chat, Code, and Image Models to find the best one. It offers a single dashboard where you can interact with multiple advanced LLMs at once, helping you compare responses side by side. So, you can send one prompt to several models concurrently, making the evaluation process quick and efficient. They offer real-time search that delivers up-to-date information, ensuring that the responses remain relevant and informative. The only problem with them is that they currently offer limited third-party integrations, which might restrict you from customizing your experience if it doesn’t have the support for the tool required for your workflow.
To get started with it, you can go to ChatPlayGround.AI and start your free trial. Their subscription starts at $19 per month, or $13 per month with annual billing.
2] ChatBetter
Next up, we have ChatBetter.com. It provides a streamlined interface, allowing you to interact with multiple large language models at once. It sends one prompt to various models concurrently, displaying responses side by side. You can easily interface with models and access their performance based on the response. You get instantaneous results, so you can view and compare outputs in real time. This feature is important when iterating through different prompts quickly and making an informed decision. However, just like ChatPlayGround.AI, ChatBetter doesn’t support all third-party tools, so you might have to test the platform before using it.
ChatBetter offers subscriptions starting at around $20 per month, with discounts available for annual plans. You can go to ChatBetter.com to start your free trial now.
3] ChatALL by Toolify
Next up, we have ChatALL by Toolify. It’s a desktop app that lets you chat with several top AI models like ChatGPT, Bing Chat, Bard, Alpaca, and Vicuna all in one place. You can simply type your prompt, and ChatALL sends it instantly to all your chosen models at once. You’ll see their responses appear side-by-side in real time, making it fast and easy to compare them directly.
You can pick which models to use and arrange the layout to fit your needs. ChatALL stores your past chats locally, so you can review different model responses later for deeper analysis. As a dedicated desktop app, it’s fast, intuitive, and built specifically for comparing multiple AIs efficiently.
However, like similar tools, ChatALL may not support every third-party model or tool, so testing it first is recommended. You can go to github.com to download the application for free.
Read: How to choose the best LLM for your Task?
4] TeamAI Multi-LLM Chat
TeamAI Multi-LLM Chat gives you one simple place to test many big AI models at once. You type your question once, and it instantly shows you answers from several different models side-by-side. This lets you easily see how they compare and spot their differences right away, helping you pick the best one faster. It’s also built for teamwork, letting you and your colleagues share prompts, test ideas together, and improve your AI workflow in a shared space. You can save your best questions in your own prompt library, making it easy to run the same test again later and see if things improve. It connects smoothly to many AI services, making setup easier.
For individuals, the plan starts at $5, and a small organization with 10 employees can get the platform for around $25 a month, which is good for individuals or small teams. Just be aware: on the free plan, you might need to use your own access keys for some models, which adds a little setup step. So, go to teamsai.com and create your free account now.
Read: Which AI Model can run on a regular PC?
5] LM Arena
Finally, we have a benchmarking tool, LM Arena. It is an easy-to-use tool that lets you compare models, have an all-out battle between the two, or just chat with one. The best part about this platform is that it is completely free. You pick models, give one prompt, and instantly see their answers side-by-side to compare performance. The community votes on the best responses, creating an Elo rating that ranks models fairly. It uses the same prompts for every model, ensuring a level playing field. As an open-source project, it’s free forever and constantly improved by users.
To get started with this model, go to lmarena.com. Then, select Side by Side, Battle (it picks two anonymous models), or Direct Chat. For the sake of this tutorial, let’s go with Side by Side, select two models of your choice from the drop-down menu, give a prompt, and hit Enter. LM Arean will give you the answer side by side, allowing you to go through it and give your opinion.
Hopefully, with the help of one of the tools mentioned in this post, you will be able to chat with many LLMs simultaneously using the same prompt to compare outputs.
Read: How to install Gemma 3 LLM on Windows PC?
What happens when you input a prompt into an LLM?
When you type your prompt, the LLM first breaks it into small pieces (tokens). It then looks at patterns it learned from massive amounts of text during training. Step by step, it predicts the most likely next word based on those patterns and its internal settings. It adds this word, then predicts the next one, building the response word-by-word. It doesn’t truly ‘understand’ like a human; it calculates probabilities. Finally, it gives you the complete generated text as its answer.
Read: How to configure LM Studio to use multiple AI’s on Offline PC
How to evaluate LLM outputs?
When you get an output, first check if it’s accurate and true, look for made-up facts or errors. Next, see if it answers your question and stays on topic. Then, read it for clarity and flow, does it make sense and sound natural? Also, watch for harmful, biased, or sensitive content. Finally, ask if it’s actually useful for your purpose.
Also Read: Free tools to run LLM locally on Windows PC.
