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, OpenAI has released GPT-4 with significant performance, accuracy, features, and functionality improvements.
In this article, we will discuss GPT4 vs GPT4o and explore 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. 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 Contents
GPT 4o vs GPT 4: Which is Better?
How does GPT-4 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 4 outperforms in terms of vision understanding, language comprehension, simple math, and faster response times.
According to OpenAI, GPT-4 tends to have a stronger contextual understanding compared to GPT-3, 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 and ethical reasoning, GPT 4o wins here. This OpenAI model is highly advanced and designed to work faster, smoother, and more accurately than its predecessors.
Last but not least, GPT-4 offers higher proficiency, productivity, and versatility in handling a wide range of complex tasks and queries in seconds.
GPT 4o vs GPT 4: What Are The Similarities?
GPT 4o and GPT 4 are similar in many ways. Both 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-4?
GPT-4o is a freemium multilingual, multimodal generative pre-trained transformer developed by OpenAI. It is a much more advanced AI model designed to process and generate text, images, audio, and much more based on given prompt input texts or commands.
Compared to GPT-4, GPT-4o can handle certain tasks much more efficiently.
The term “o” used in GPT 4o stands for ‘optimization,’ which means the model is designed to perform better, faster, 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 generates human-like texts, images, videos, and other content based on given prompts. GPT-4 provides contextual understanding, increased language fluency, and complex task performance.
Read More: Google Gemini AI vs ChatGPT
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 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 quickly.
4. Real-Time Interaction: GPT-4 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: This new OpenAI model combines text, audio, and images 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: The new data upload feature allows users to upload charts to GPT-4o for analysis based on its vision and reasoning functionalities.
9. Visual Content Apprehension: GPT-4o can now promptly respond to questions about visual content using descriptions or uploaded images.
10. Free Access: Although paid versions of OpenAI offer five times more message limits, they are still available in the free version of the tool.
Now that you understand the basic differences and similarities between GPT-4 and GPT-4, let’s examine their detailed comparison.
GPT 4o vs GPT 4: Knowing the Differences
Here is a detailed comparison between GPT-4o and GPT 4:
GPT4o vs GPT 4: Seamlessly Handle Complex Queries
One of the greatest enhancements in GPT-4 is the seamless handling of ambiguities and complex queries in 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-4 and GPT-4. They eliminate the frequency of misunderstandings and improper responses and enhance the overall user experience on the platform. This works best in various industrial sectors, including finance and healthcare, where accuracy and clarity are considered paramount.
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. Regarding a debate between GPT-4 and GPT-4o, GPT-4o offers much faster processing and response times, making it stand out from the previous one. It also provides higher accuracy in certain tasks compared to GPT-4.
With GPT-4o, you will get the highest performance in handling multiple tasks simultaneously, including determining antonyms, fixing complex mathematical problems, and calculating calendars. One of the greatest enhancements of GPT-4 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
OpenAI 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. Developers who built this AI model may have included these problematic tokens because of inaccurate data cleansing, leading to a degraded model comprehension and possibly resulting in hallucinations and security breaches.
In natural language processing, Western languages have traditionally been prioritized over non-Western languages, but this is no longer true with the change. 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 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 end, 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 differences that make them meaningfully different.
In general, GPT-4 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 precise, and delivers optimum performance and speed.
Looking to integrate GPT 4 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
