GPT-4 vs. GPT-3.5: how much difference is there? – Digital Trends

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Have you heard of GPT-4? It’s the latest language model for OpenAI’s natural language chatbot, and it’s said to be much better than GPT 3.5, which is available on ChatGPT. But how much better is it and what makes it different?
That’s what we’re here to find out, with a direct head-to-head comparison of these two exciting, but distinctly different language models. Ultimately, we can decide whether it’s worth paying the extra for a ChatGPT Plus subscription, or if it’s better to just use GPT-4 for free.
Both GPT-3.5 and GPT-4 are natural language models used by OpenAI’s ChatGPT and other artificial intelligence chatbots to craft humanlike interactions. They can both respond to prompts like questions or requests, and can provide responses very similar to that of a real person. They’re both capable of passing exams that would stump most humans, including complicated legal Bar exams, and they can write in the style of any writer with publicly available work.
But GPT-4 is the newer of the two models, so it comes with a number of upgrades and improvements that OpenAI believes are worth locking it behind a paywall — at least for now.
GPT-3.5 is fully available as part of ChatGPT, on the OpenAI website. You’ll need an account to log in, but it’s entirely free, and you’ll have the ability to chat with ChatGPT as much as you like, assuming the servers aren’t too busy. You can also find GPT 3.5 being used by a range of other chatbots that are widely available across different sites and services.
GPT-4, on the other hand, is a little harder to come by. You can use it through the OpenAI website as part of its ChatGPT Plus subscription. It’s $20 a month, but you’ll get priority access to ChatGPT as well, so it’s never too busy to have a chat. There are some ways to use GPT-4 for free, as well including using Bing Chat, but those sources tend to have a limited number of questions, or don’t always use GPT-4 due to limited availability.
GPT 3.5 was trained on data that ultimately gave it the ability to consider 175 billion parameters depending on the prompt it receives. That gave it some impressive linguistic abilities, and let it respond to queries in a very humanlike fashion. However, GPT-4 is based on a lot more training data, and is ultimately able to consider over 1 trillion parameters when making its responses. GPT-4 was also trained through human and AI feedback for a further six months beyond that of GPT-3.5, so it has had many more corrections and suggestions on how it can improve.
GPT 4 is also trained on newer data. While GPT 3.5 was limited to information prior to June 2021, GPT-4 was trained on data up to September 2021, with some select information from beyond that date, which makes it a little more current in its responses.
All of that gives GPT-4 much greater ability to craft nuanced responses that are both more accurate and less prone to what OpenAI describes as “hallucinations.” That means it shouldn’t make up information as often, and will state that it doesn’t know the answer to something more readily.
GPT-4 also incorporates many new safeguards that OpenAI put in place to make it less prone to delivering responses that could be considered harmful or illegal. OpenAI claims that GPT-4 is “82% less likely to respond to requests for disallowed content.” There are still ways you can jailbreak ChatGPT, but it’s much better at dodging them.
OpenAI also took great steps to improve informational synthesis with GPT-4. That makes it more capable of understanding prompts with multiple factors to consider. You can ask it to approach a topic from multiple angles, or to consider multiple sources of information in crafting its response. This can also be seen in GPT-4’s creative efforts, where asking it to generate an original story will see it craft something much more believable and coherent. GPT-3.5 has a penchant for losing threads halfway through, or making nonsensical suggestions for characters that would be physically or canonically impossible.
The improved context window of GPT-4 is another major standout feature. It can now retain more information from your chats, letting it further improve responses based on your conversation. That works out to around 25,000 words of context for GPT-4, whereas GPT-3.5 is limited to a mere 3,000 words.
That additional understanding and larger context window does mean that GPT-4 is not as fast in its responses, however. GPT-3.5 will typically respond in its entirety within a few seconds, whereas GPT-4 will take a minute or more to write out larger responses.
One of the coolest features of GPT-3.5 is its ability to write code. However, it wasn’t great at iterating upon it, leaving programmers trying to use ChatGPT and other AI tools to save time often spending more time bug fixing than if they’d just written the code themselves. GPT-4, on the other hand, is vastly superior in its initial understanding of the kind of code you want, and in its ability to improve it.
GPT-4 can take prompts like “improve performance,” or “this code gives me error X, can you fix it?” GPT-3.5 wouldn’t have fully understood those prompts, but GPT-4 can, and will act upon them effectively, allowing it to improve its own responses in future attempts. The ability to give it initial tasks beyond the original goal is an impressive advancement of GPT-4.
GPT-3.5 is primarily a text tool, whereas GPT-4 is able to understand images. If you provide it with a photo, it can describe what’s in it, understand the context of what’s there, and make suggestions based on it. This has led to some people using GPT-4 to craft recipe ideas based on pictures of their fridge. In other cases, GPT-4 has been used to code a website based on a quick sketch.
Some people have even started to combine GPT-4 with other AIs, like Midjourney, to generate entirely new AI art based on the prompts GPT-4 itself came up with.
Apple had one of its largest WWDC keynotes in recent memory this year, with monumental announcements like the new Vision Pro headset. But one area where Apple was shockingly silent was AI, especially after the cascading rise of apps like ChatGPT.
Apple’s CEO, Tim Cook, said the company is being patient with AI for now in an interview with Good Morning America. “I do think it’s so important to be very deliberate and very thoughtful in the development and the deployment of [Large Language Models],” Cook said. “Because they can be so powerful that you worry about things like bias, things like misinformation, maybe worse in some cases.”
Despite all of the excitement around ChatGPT and similar AI-powered chatbots, the text-based tools still have some serious issues that need to be resolved.
Among them is their tendency to make up stuff and present it as fact when it doesn’t know the answer to an inquiry, a phenomenon that’s come to be known as “hallucinating.” As you can imagine, presenting falsehoods as fact to someone using one of the new wave of powerful chatbots could have serious consequences.
ChatGPT is an amazing tool, but plugins make it even more so by unlocking a range of exciting new abilities. From booking a restaurant table for you to custom designing t-shirts based on your prompts, ChatGPT plugins are the future of AI chatbots. Until the next big thing comes along, at least.
Here are some of the best ChatGPT plugins you can use to leverage AI in ways you never even dreamed of.
How to use ChatGPT plugins
In order to run ChatGPT with plugins enabled, you need to be a ChatGPT Plus subscriber. It’s $20 a month, but you get priority access to the chatbot so there’s almost never any waiting, and you can also use advanced features like the GPT-4 language model, and play with the new web-search capabilities of ChatGPT.
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