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GPT 3.5 vs GPT 4 - Which is best for Bubble.io

In this Bubble tutorial we explore the differences between OpenAI's text generation models GPT 3.5 Turbo and GPT 4. We'll discuss cost and speed, including some limitations you need to consider when building with Bubble.io and OpenAI.

The OpenAI API can add the full power of ChatGPT to your Bubble apps. You can use their API to add text generation within your Bubble app and do a whole host of amazing and cool features. For most people they will be choosing between whether to use GPT 4 or GPT 3.5 Turbo. In this video I'm going to compare the two and offer some points of some comparison and also run a few tests in a quick Bubble app mock-up that I've created.

GPT 3.5 vs GPT 4 Price

To begin with I'd say the main difference for many people is going to be cost. That we have a significantly lower token cost on the GPT 3.5 Turbo models compared to GPT 4, which is up here. So that is, if I've got my decimal place in the right place, double the cost. Yeah, I got that right. Maths is fine. What is a token? Well, a token is explained in the paragraph up here. So this paragraph is 35 tokens. So if you are using and building an application where you want to let your users kind of run free, obviously put some constraints, with ChatGPT and OpenAI's API, then I would recommend using GPT 3.5 Turbo because it is gonna cost you significantly less compared to if you had some sort of power user or you hadn't put limits on your system and they're using GPT 4. The reason for the price difference is because first of all GPT 3.5 Turbo is trained on a smaller novel, smaller model. I mean it's still huge. That's how we get the amazing text that we do from it. It's also a much older model. It's been around a bit longer. GPT 4 is trained on a large model and it is a newer model, hence the increase in the numbering system.

Comparing Tweets generated by OpenAI

Let me take you through to this page and I'll just refresh it. So I'm gonna say write five tweets promoting a YouTube video about comparing GPT 3.5 and GPT 4. Copy that into each one and clicking the buttons only a moment apart because I think the first thing we'll notice is of course that GPT 3.5 Turbo is quicker. And let's wait for that to come through. We should see that any moment now. Yep, there we go. There are tweets from GPT 3.5 Turbo and we're still waiting on GPT 4. So there's two things to consider here at least. One is the wait that you put your users through. I'd really recommend if you are not using a plugin that allows you to stream the data in if you're using the API connector that you add in some sort of loading animation and we've got some videos on adding loading animations to OpenAI on our channel and on our website. The other thing being that if you put in, if you're waiting for a big response or you put a large prompt in with GPT 4, you're still, you still got the chance of running into an issue with it timing out with Bubble. Bubble has increased the time that it will wait for a response from the API but GPT 4 can still take a significant amount of time. So I wonder if there's just anything that we can notice to compare here. So they've both got emojis in them. I don't know if it shows particularly clearly here. My experience with using GPT 4 is that if I want a real richness of text here, just to take up to the next level with it appearing like it's written by a real human being, I think that GPT 4 does edge ahead. So there are indeed cases in my daily workflow where I will choose to use GPT 4. But then again on the other hand I'm happy to have a much quicker response and something that isn't isn't so rich in the use of its of its English, of the words that it places in it, and I will use GPT 3.5 Turbo to do that. Let's just try a longer form.

Comparing blog posts generated by OpenAI

Why don't we go with write a 500 word blog post about the pros and cons of using Bubble.io2 build a web app. So again we'll expect GPT 3.5 Turbo to come back quicker and we're gonna wait and see what happens. Okay so we have a much longer wait on GPT 4. Remember we don't want it to timeout, that's really gonna frustrate users if you put that in your Bubble app. But I wonder if we can see much of a difference. Now I wouldn't say that the fact that it's put a header in here, it's put numbering. I was running some tests as a preparation for this video and GPT 3.5 in that case with a very similar prompt also laid it out like that. I would say though an expression like Bubble.io boo nor bane for web app builders, personal choice but maybe that is going into that region of a bit more of a richness of a creative writing approach. We got a slightly longer response but again that's not really a difference between the two models. I mean basically in a nutshell it comes down to cost, weight and I would say if you're writing long form content then I have started to use GPT 4 instead of 3.5 in my daily workflow because I just want that little bit extra more. Whereas yeah like I say there's many occasions when I will use GPT 3.5 Turbo instead.

Leave a comment

I'd love to hear your thoughts though, please leave a comment down below if you are using GPT 3.5 Turbo or GPT 4 in your app and what has nudged you one way or the other. I would love to hear your feedback and we read every single comment.

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