Ever wondered how ChatGPT works?
It’s a super-smart tool that understands what you say and gives human-like answers. ChatGPT runs on advanced technology, using models like GPT-4 to handle tricky tasks with ease.
But here’s the cool part—there’s also GPT-4 Turbo, which does similar work but is much faster!
GPT-4 vs. GPT-4 Turbo: Choosing the Right AI Model for Your Needs
They are different on the speed side, the efficiency side, what the use case is, and the cost side.
In this blog, we will be breaking down these differences simply for you so that you can determine which model is the one that suits you best.
Every new version of GPT opens up a new set of improvements from OpenAI in artificial intelligence.
GPT-4 and GPT-4 Turbo variants are introducing new standards in language understanding, problem-solving, and ethical AI.
In this blog, we'll look at the differences and main features of these two models so you make a decision.
What is GPT-4?
ChatGPT-4 is made by OpenAI after a lot of study and feedback from using earlier versions. Uses of earlier models have shown the need for better accuracy, understanding of context, and safety in AI answers.
The launch of ChatGPT-4 was an important step in AI ability, combining improved data sets, fine-tuning methods, and safety steps to ensure more trustworthy and context-aware results.
What is GPT-4 Turbo?
GPT-4 Turbo is a better and faster version of GPT-4, created by OpenAI.
It gives quicker answers and works more efficiently. It is made to handle tasks quickly and costs less, making it a great choice for projects that need speed and can handle a lot of work.
It still gives good results but focuses on being faster and saving money, without losing much accuracy.
This makes it perfect for things like chatbots, customer service, or apps where fast replies are important.
ChatGPT’s Reduced Pricing Model
OpenAI Lowers Token Prices: Big Savings for Developers.
ChatGPT has said it will lower token prices, “saving money for developers” during this change.
Tokens – the delightful bits that big language models rely on – will now be much more budget-friendly for many GPT models. OpenAI calls tokens parts of words; input tokens are parts of words that form prompts, while output tokens form responses.
GPT-4 Turbo input tokens are now three times less expensive than GPT-4 tokens. They cost only $0.01, while output tokens are $0.03, which is half the price of what they were for GPT-4.
GPT-3.5 Turbo tokens are also 3x less expensive than the previous version of GPT-3.5 with the 16K context window at $0.001, and output tokens are also half price, costing only $0.002 each.
Developers using the 4K context window version of GPT-3.5 Turbo will see their token prices drop by 33% (now $0.001). These prices only apply to the new 16K version of GPT-3.5 Turbo.
GPT-4 vs GPT-4 Turbo: Key Differences
| Feature | GPT-4 | GPT-4 Turbo |
| Speed | Slower response times | Faster responses. |
| Cost | Higher usage costs | More cost-effective. |
| Performance | Suitable for tasks requiring deep understanding and detailed responses. | Ideal for applications needing quick, efficient outputs. |
| Use Cases | Best for complex projects where accuracy is crucial. | Suited for real-time applications like chatbots and customer service. |
What are Custom GPTs?
OpenAI is launching a new product called “GPTs”, which they explain as “special versions of ChatGPT that you can make for a specific job”. OpenAI sees people making them for tasks at home and work, and then sharing these creations with others.
At the DevDay conference, the OpenAI team showcased how easy it is to create GPTs. The best part? No coding skills are required, making this tool accessible to everyone, from office workers to advanced users.
With GPTs, you can:
- Perform tasks like data analysis or web searches with ease.
- Save time by replacing long lists of manual prompts with a single, efficient custom GPT.
OpenAI will have a GPT store soon. When this happens, developers will have a new way to earn money with ChatGPT because OpenAI says it will let those who create the most popular GPTs make money through the store.
Which One Should You Choose? GPT-4 or GPT-4 Turbo?
When deciding between GPT-4 vs GPT-4 Turbo, consider the specific needs of your application; GPT-4 Turbo is designed to be faster and more cost-effective while maintaining a high level of performance and accuracy.
Choose GPT-4 If:
- Accuracy is Key: You need highly detailed and precise answers, such as for research, complex writing, or high-stakes projects.
- Complex Tasks: Your work involves deep contextual understanding, such as writing long-form content, generating code, or solving complex problems.
- Budget is Flexible: You’re okay with spending more for top-quality performance.
Choose GPT-4 Turbo If:
- Speed is Crucial: You need quick responses, such as for real-time applications like chatbots or customer support.
- Cost Matters: You’re working with a tight budget and want a more affordable option.
- Scalability is Important: You’re handling large volumes of requests or queries and need a model that can manage high traffic efficiently.
Why Choose One Over the Other?
- For Quality: Go with GPT-4 if you prioritize high accuracy and depth.
- For Efficiency: Opt for GPT-4 Turbo if you need faster results at a lower cost.
Final Recommendation: GPT-4 vs. GPT-4 Turbo
Choosing between GPT-4 or GPT-4 Turbo depends on what you need most: better quality or faster speed.
If your work requires detailed and accurate results, go with GPT-4. It’s great for tasks like research, writing long articles, or solving complex problems. However, it’s slower and costs more to use.
If you need quick answers and want to save money, GPT-4 Turbo is the better choice.
It’s perfect for things like chatbots or customer support, where speed matters more than super-detailed answers. Plus, it’s cheaper and handles lots of requests at once.
My Advice: Use GPT-4 Turbo if you want fast and affordable results. But if your project needs high accuracy and deep understanding, GPT-4 is worth the extra cost. It all depends on what fits your project best!
FAQs
The key difference is speed and cost. GPT 4 Turbo is faster and cheaper while GPT4 is all about being detailed and accurate to a hair split of infinite degrees.
For more real-time applications such as chatbots or customer service, GPT-4 Turbo will serve you better because of its more immediate response and its ability to handle high traffic.
GPT-4 is more accurate and deeper and therefore is designed for higher accuracy and depth and for use in things like writing research, writing long form, or solving the kinds of technical problems.
But GPT-4 Turbo is more cost-effective, and therefore, ideal for large-scale projects or applications with restricted budgets.
GPT-4 Turbo is quicker and more efficient than GPT-4, but you really can; I just haven't tested whether the latter model can handle very precise or complex tasks as well.
While both can do similar things, GPT-4 is far better for quality work, while GPT-4 Turbo is superior in speed work.
Because of its faster response times, the GPT-4 Turbo is the best option for tight deadlines.
Of course, some people may choose a model based on your project’s requirements. Some platforms using OpenAI APIs make it easy for you to switch between the three.