GPT-4 vs. GPT-4o: Uncover the Key Differences, Similarities, and Features You Need to Know

With the emergence of modern technologies, significant improvements have been made in AI technology over time. Everyone was amazed at GPT-4 performance, features, and functionalities in responding to users’ queries about anything and generating text, videos, and quality code in seconds.

Thanks to its new revolution, Open AI has now released GPT 4o with significant performance, accuracy, features, and functionality improvements.

In this article, we will discuss GPT4 vs GPT4o and know the differences based on different features.

OpenAI has developed two advanced language models called GPT 4 and GPT 4o. The function of these AI models is based on a special type of computer architecture called a “transformer” and deep neural networks to create human-like text.

GPT 4 offers many benefits and works efficiently, however, it lacks photo editing capabilities so to make it easier, we will make a detailed comparison between GPT 4 and GPT 4o and help you understand which one is better. 

Table of Content

GPT 4o vs GPT 4: Which is Better?

How does GPT 4o differ from GPT 4? When it comes to making the difference between GPT 4o and GPT 4, GPT 4o shows greater performance and functionality enhancements than its predecessor. The new GPT 4o outperforms in terms of vision understanding, language comprehension, simple math, and faster response times.

According to OpenAI, GPT 4o tends to have a stronger contextual understanding compared to GPT 4, which enables better metaphors, a grasp of idioms, and cultural references.

If we compare GPT 4 vs GPT 4o based on numerous tests and test coverages, such as text analysis, factual inquiries, creative writing, complex scientific and technical questions, coding and programming challenges, mathematical and logical problem-solving, and philosophical & ethical reasoning, GPT 4o wins here. This OpenAI model is highly advanced and designed to work faster, smoother, and more accurate than its predecessors. 

Last but not least, GPT 4o offers higher proficiency, productivity, and versatility in handling a wide range of complex tasks and queries in a matter of seconds.

GPT 4o vs GPT 4: What Are The Similarities?

GPT 4o and GPT 4 are similar in many ways. Both GPT 4 and GPT 4o leverage advanced OpenAI models with the same vision and audio capabilities. Both can analyze uploaded documents and recall information more efficiently. Both AI models have 128,000 token context windows and knowledge cutoff dates in late 2023 (October for GPT-4o, December for GPT-4).

Let’s understand them in more detail with a basic understanding of each model.

What is GPT 4o?

GPT-4o is a freemium multilingual, multimodal generative pre-trained transformer developed by OpenAI. GPT-4o is a way more advanced AI model designed to process and generate text, images, audio, and much more based on given prompt input texts or commands. GPT 4o compared to GPT 4 can handle certain tasks way more efficiently. 

The term “o” used in GPT 4o stands for ‘optimization’, which means the model is designed to perform better, faster, and more efficiently and accurately for its desired functionality. 

What is GPT 4?

GPT (Generative Pre-trained Transformer) 4 is a multimodal large language model developed and launched by OpenAI on March 14, 2023. This AI model is used to generate human-like texts, images, videos, and other content based on given prompts. GPT 4 provides contextual understanding, increased language fluency, and complex task performance.

Key Features of GPT 4o

Here are the key features of GPT 4o, including but not limited to:

1. Improved Security Protocols: GPT 4o provides next-level security solutions with enhanced security and safety protocols to ensure the safety & accuracy of generated outputs for users.

2. Command in Non-English Languages: When it comes to comparing performance in English and code, GPT 4o offers greater accuracy with non-English languages than its predecessors.

3. Problem-solving: It is capable of smart reasoning and completing complex math issues in a short amount of time.

4. Real-Time Interaction: GPT 4o offers real-time interaction through audio and allows users to ask any queries and get faster human-like responses in a short span (as little as 232ms). 

5. Summarization Directly Through Files: This AI model lets you upload files in any format and summarizes their entire website content based on your command.

6. Single Model Functionality: With this new OpenAI model, text, audio, and images are combined into one to improve understanding and response.

7. Enhanced Multi-Language Processing: This modern AI model can now be used in more than 50 multiple languages using advanced understanding capabilities.

8. Data Analysis: Users can now upload charts to GPT-4o for analysis based on its vision and reasoning functionalities through the new data upload feature.

9. Visual Content Apprehension: GPT-4o can now promptly respond to questions about visual content using descriptions or uploaded images.

10. Free Access: Even though paid versions of OpenAI offer five times more message limits, it is still available in the free version of the tool.

Now that you understand the basic differences and similarities between GPT 4o and GPT 4, let’s dive into the detailed comparison of GPT 4o vs GPT 4.

GPT 4o vs GPT 4: Knowing the Differences

Here is a detailed comparison between GPT4o and GPT 4: 

GPT4o vs GPT 4: Seamlessly Handle Complex Queries

One of the greatest enhancements and improvements that have been made in GPT 4o is the seamless handling of ambiguities and complex queries in a matter of seconds. This advanced language model is trained to provide more precise, accurate answers to the most complicated queries more efficiently.

Features	GPT 4o	GPT 4
API Cost	Less Expensive (50% cheaper)	More Expensive
API Cost	Faster	Lower
Primary Focus	Multimodal (Text, Audio, Image, Video)	Text-based
Text Performance (Non-English)	Greater Accuracy	Lower Accuracy
Text Performance (English and code)	Matches GPT-4 Turbo	Matches GPT-4 Turbo
Voice Mode	Single New Model	Three Separate Models
Real-Time Audio Response	Unavailable	Average 320ms (Like Humans)
Visual Understanding	Advanced	Limited

These features create the biggest difference between GPT 4o and GPT 4, which eliminates the frequency of misunderstandings and improper responses and enhances the overall user experience on the platform. This works best in various industrial sectors, including finance and healthcare where accuracy and clarity are considered at the top.

GPT-4o vs GPT-4: Performance 

Both GPT 4o and GPT 4 combine similar English language processing abilities, but GPT-4o can now support a large number of languages. When it comes to a debate between GPT 4o and GPT 4, GPT 4o offers much faster processing and response times, making it stand out from the previous one. It also offers higher accuracy in certain tasks compared to GPT 4.

With GPT-4o, you will get the highest performance in handling multiple tasks at once, including determining antonyms, fixing complex mathematical problems, and calendar calculations. One of the greatest enhancements of GPT 4o is that it provides real-time interaction. In addition to this, the successor AI model will be able to process audio and visual data, allowing for richer user interfaces and immersive experiences. 

This AI model works best for maintaining a natural flow in real-time dialogues and handling conversational interruptions. Last but not least, GPT-4o offers significantly improved performance compared to its predecessor.

GPT4o vs GPT 4: Language Support

Open AI has made various enhancements in tokenization for languages that do not support the Western alphabet, including Hindi, Korean, and Chinese. When it comes to language support, GPT-4o offers better support for non-English languages compared to its predecessor. Thanks to the new tokenization, it is now possible to compress non-English text and efficiently handle the prompts in those languages. 

However, within a few days of the release of GPT-4o, researchers discovered that many Chinese tokens included pornographic and gambling phrases. There is a possibility that developers who built this AI model included these problematic tokens because of inaccurate data cleansing, leading to a degraded comprehension of the model and possibly resulting in hallucinations and security breaches.

In natural language processing, Western languages have traditionally been prioritized over non-Western languages, but with the change, this is no longer true. This powerful capability makes GPT 4o more efficient and accurate global apps in handling more languages with greater accuracy. Consequently, it opens up the potential for participation by groups that might not have had access to such powerful AI models in the past.

GPT4o vs GPT 4: Advanced Customization Features

GPT-4o provides highly advanced customization features that enable users to customize the model to suit their specific app needs. It offers a complete flexibility. This advanced AI model allows you to tweak parameters to further refine the tone, style, and behavior of the chatbot based on your brand voice or specific use case. 

However, this level of customization was limited in GPT-4, making GPT-4o a more adaptable and user-friendly option for businesses looking to deploy AI solutions that align closely with their unique business requirements.

Conclusion

In the bottom line, it can be said that both GPT 4 and GPT 4o are the most advanced language models created by OpenAI. Performance, data, size, training, and limitations are some of the key things that create a meaningful difference between GPT 4o and GPT 4.

In general, GPT 4o is highly performant, more accurate, and efficient than GPT 4. Even though GPT 4 has various amazing features, GPT 4o seems way more advanced and accurate and delivers optimum performance and speed.

Looking to integrate GPT 4o to streamline and automate your business processes and achieve maximum performance and efficiency, we are your go-to software development partner to help you. Hire our dedicated software developers today.

FAQs

Sources:

https://www.enacton.com/blog/gpt4o-overview-use-cases-features

https://www.makeuseof.com/gpt-4-vs-gpt-4-turbo-vs-gpt-4o-whats-the-difference

https://textcortex.com/post/gpt-4o-vs-gpt-4

https://ttms.com/chatgpt-4o-as-a-content-creation-tool-how-does-it-differ-from-version-4-0