Access the Best AI Models (25+) and Compare Them
Achieve Better AI Answers 73% more often with Multiple Chatbots
I started ChatPlayground after finishing my research at UC Berkeley on which AI Model is the best.
I compared 10 AI chatbots including ChatGPT-4o, Gemini 1.5 Pro, Llama 3.2, Perplexity, Bing Copilot and, much more.
I found that each chatbots have their own perks, and that the only way to get the best response for your input is by using multiple chatbots at once 🤯.
I used my own software to do this research but I had alot of demand to make it public, so ChatPlayground got started :)!
This is what I learned about each chatbot:
- ChatGPT-4o has really descriptive and usually longer answers, but prefers to answer in bullet points.
- ChatGPT-4o was able to generate really nice data tables, that Gemini 1.5 Pro wasn't able to 📊.
- Gemini 1.5 pro is great because it feels like it understands the context of your question more by having a conversational tone 💬.
- Perplexity is good at giving you a completely answer, most AI Chatbots will give you bullet point answers, perplexity prefers to write out a complete answer rather than just giving bullet points 📝.
- Bing Copilot is great because it cites its resources, will even recommend videos to help you 📹.
- Bing copilot can be great but 20-30% of the time the answers it gives are not even usable 😐.
- Because Bing copilot is using sources to give you answers the answers feel much more human like and at times more useful then other AI Chatbots that just list a bunch of basic bullet points 🤔.
- Their should be no reason anyone is still using ChatGPT 3.5 or Gemini 1.0 today 🙅♂️.
- Gemini 1.0 gives good answers but not as detailed and helpful as Gemini 1.5 Pro.
- Llama is very very fast ⏱️ but doesn't always give you a detailed answer, mostly vague answers.
- Mistral is great with longer prompts, but not so great with shorter prompts 📝.
P.S. I asked all of the premium AI models on ChatPlayground to add emojis to this intro post, and I ended up choosing Llama 3.2 for the output.
Statistics
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6,000
history
Category
Rating
4.3934 (122 votes)
Last update / version
2024-12-18 / 8.2.1
Listing languages
en