ChatGPT took the world by storm when it first launched back in November 2022. Since then, this clever conversational AI bot has been captivating users with its human-like responses. Powered by OpenAI’s GPT-3.5 language model, it chats about nearly anything – no wonder over 1 million users signed up within a week!
However, OpenAI released their newest model version, GPT-4 Turbo, in November 2023. This version has more capabilities, an updated knowledge base until April 2023, and a 128k context window, which is equivalent to containing 300 pages of text within a single prompt.
But at $20 per month, is it worth upgrading from the free package? Here, we’ll compare the two versions, focusing on whether the $20 per month for the Plus subscription is a worthy investment.
GPT-4 Turbo vs GPT-3.5 at a Glance
|General conversing, basic content creation
|Enhanced reasoning, complex content creation
So in a nutshell – the upgraded GPT-4 abilities come at a subscription cost. But what do these upgrades actually translate to when it comes to typical usage?
Knowing More Stuff with Broader Knowledge
One major advantage of the GPT-4 Turbo is its expanded knowledge pool. Being trained more recently on new datasets, turbo can intelligently chat about more current events, cultural trends and technologies emerging through early 2023.
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Comparing the response
If we were to enquire GPT-3.5 about the latest trending fiction movies, this is the response we would receive: “I’m sorry, but I don’t have access to real-time data or current trends, as my knowledge was last updated in January 2022.”
In contrast, GPT-4 Turbo offers a more advanced level of engagement. With its knowledge cut-off in April 2023, it is up-to-date with the latest trending fiction movies of 2023 and can even provide information about various themes and styles.
This enhanced awareness makes conversations feel more seamless and minimises instances where the bot responds with ‘I do not have enough context to answer properly’. If you’re looking for an AI buddy who is well-informed and won’t feel out-of-the-loop, Turbo is the way to go!
Bigger Brain = Smarter Responses
Along with updated knowledge sources, GPT-4 Turbo also incorporates algorithmic enhancements powering more advanced reasoning and multi-step inference abilities. Together with greater model capacity, this makes it potentially better at tackling complex queries.
Let’s test it out with an example. Suppose we asked each bot:
“My flight from London lands in Singapore at 7pm on Friday. I have dinner plans scheduled at 8:30pm with friends in Tampines. Considering travel time through the airport, what time should I book my Grab ride to ensure I arrive by 8:15pm latest?”
While GPT-3.5 tries its best, it struggles to piece the information together. Meanwhile, GPT-4 Turbo neatly breaks the question down:
- Flight lands at 7pm
- Dinner reservations in Tampines at 8:30pm
- User wants to arrive by 8:15pm latest
- So factoring airport clearance, immuno-clearance, baggage collection etc, user should probably book a Grab by 7:30pm to account for 30min potential delays.
Its methodical step-by-step logic and calculations demonstrate noticeably enhanced critical thinking prowess. We see GPT-4 Turbo leveraging its boosted capabilities for smarter responses – a key benefit of the upgrade.
Huge Context Window for Consistent Conversation Flow
Here’s an amazing Turbo statistic – its whopping context window span of 128,000+ tokens translates to remembering the essence of some 300 pages worth of information at any one time!
This massive short-term memory allows ChatGPT to sustain long, logically consistent conversations without losing track of earlier details or veering off-course.
Let’s check it out through an example chat:
Human: What’s your favorite cake flavor and why?
GPT-4 Turbo: Red velvet! I love the sweet tangy cream cheese frosting contrasted by the rich chocolatey cake. The striking crimson color also adds visual flair.
Human: Nice choice! What dessert would you pair it with and what drink?
GPT-4 Turbo: For a perfect sweet pairing after red velvet cake, I’d go with fluffy vanilla ice cream. The cool creamy scoops balance the dense cake nicely! To drink, an iced tea with just a hint of floral jasmine flavor would complement beautifully without overpowering the food.
Note how GPT-4 remembers the question several exchanges ago about its favorite cake being red velvet? It neatly picks up this context to logically recommend an ideal follow-on dessert and drink pairing. This consistency improves engagement feel even over extended dialogues.
Meanwhile GPT-3.5’s fleeting 4096 token memory resulted in several challenges when it came to processing and understanding longer pieces of text. The limited memory capacity made it difficult for GPT-3.5 to retain crucial contextual information, leading to incomplete comprehension and potential misinterpretation of complex ideas.
So Turbo better sustains smooth, human-like conversation flow – a huge plus!
Frequently Asked Questions
GPT-4 Turbo is described as the "next-generation model" by OpenAI, representing an evolution of the GPT-4 language model. It is designed to be more efficient, retaining more information and providing faster response times. One of the key advancements of GPT-4 Turbo is its ability to process and analyze visual content, offering features like automatic caption creation and text recognition within images. This model is intended to be a more powerful tool for developers and users, extending the capabilities of its predecessors (Android Authority).
The perception of whether GPT-4 Turbo is better than GPT-4 can vary depending on the criteria being considered. GPT-4 Turbo is designed with a larger context window, which allows it to retain more information than GPT-4, potentially making it better for tasks that require understanding of larger bodies of text (Writesonic).
However, some users have reported mixed experiences with GPT-4 Turbo, suggesting that while it may be faster and cheaper, it may not always match the quality of GPT-4 (Tech.co; Reddit). It's important to consider the specific requirements of a task or application when determining which model is the better choice.
Yes, because of its improved capabilities and efficiency, the GPT-4 Turbo is deemed smarter than its predecessor. According to research, GPT-4 Turbo is 87% more accurate than GPT-4 and nearly five times faster, with 48 versus 10 tokens per second. In actuality, GPT-4 Turbo is likewise 30% less expensive.
Yes, GPT-4 Turbo is reported to be faster than the baseline GPT-4. According to user experiences shared on Reddit, some have observed that GPT-4 Turbo can be approximately 2.5 to 4 times faster (Reddit). Additionally, early benchmarks have suggested that GPT-4 Turbo is almost five times faster, achieving speeds of 48 tokens per second compared to GPT-4's 10 tokens per second (the decoder).
Is the Upgrade to ChatGPT 4 Turbo Worthwhile?
Altogether, GPT-4 Turbo brings expanded knowledge, improved reasoning and massively increased context retention delivering perceptibly more natural chats. If you’re fine with basic Q&A or don’t mind inconsistent replies, stick with the free 3.5 version.
But for $20 monthly, Turbo offers upgraded abilities that may please power users. Its smarts make for richer conversations bringing us a step closer the holy grail of machines folks can confide their innermost secrets to!
Should you upgrade? Well, it really depends! We suggest giving the free ChatGPT-3.5 a thorough try first. You might find that its performance is more than enough for your daily entertainment needs. However, if you’re looking for a digital BFF that can engage in deeper and more meaningful conversations, it might be worth considering GPT-4 Turbo. However, it’s important to note that even though this AI is incredibly smart, it still can’t replicate true human warmth…at least not yet!
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