GPT-3 vs. GPT-4 Comparison

OpenAI's Generative Pre-trained Transformer (GPT) series are artificial intelligence language models that can generate texts. It can generate human-like responses according to prompts given to it with millions of parameters and a massive amount of dataset from the internet. When the GPT-3 was released, it received a lot of attention in the tech world. For this reason, the GPT-3 has become a technology used both in the professional field and in daily life. 

The GPT-4 model, released on March 14, 2023, does everything the GPT-3 can do with higher performance, but also has new features such as generating images.

Let's explore the differences between GPT-3 and GPT-4 together.


  • The Generative Pre-trained Transformer (GPT) series is an artificial intelligence language technology designed to produce text.
  • GPT-3 can generate most text-based content with 175 billion parameters.
  • GPT-4 can analyse visual input in addition to everything GPT-3 can do.
  • The GPT-4 outperforms its predecessors in all areas.
  • We can expect GPT-4 to have a greater impact on daily life in the future.
  • If you're looking for an AI writing tool, TextCortex is one we recommend you try.

Generative Pre-trained Transformer

Generative Pre-trained Transformer (GPT) is a language model that has been trained with massive amounts of data to create human-like texts. GPT series can perform various natural language processing tasks such as text generation, text translation, question & answer, and paraphrasing. The GPT series uses its data and deep learning to respond to inputs and predict what the next word and related topics might be.

What are GPT Models Used for?

GPT models have been used to create articles, poetry, stories, news report, dialogue, text summarization, and paraphrasing using natural language processing (NLA) and deep learning. GPT models can learn from users' inputs.


The GPT-3 can perform most tasks with 175 billion learning parameters and 570 GB of text data. It is trained with language structures, so it has a low error rate while generating sentences and paragraphs. GPT-3 trained with programming languages in addition to human languages. Therefore, if you ask GPT-3 to code simple and intermediate programs in any programming language, it will do this task quickly.

gpt 3 vs gpt 4


GPT-4 (Generative Pre-trained Transformer 4) is the most advanced natural language processing model developed by OpenAI. It is a powerful model that can understand and generate text and visual inputs. GPT-4 can do everything GPT-3 can do faster and without errors. To develop outputs in GPT-3 you need to enter simple inputs, but GPT-4 can understand more complex prompts and questions and generate output more accurately.

The most interesting feature of GPT-4 is its ability to generate both text and visual inputs. This means that GPT-4 can analyse an image and a question about it and provide an answer. This makes it an incredibly powerful tool for any user that needs to generate both text and visual outputs. For example, if you need to generate a detailed report about a certain image, GPT-4 can help you do it quickly and accurately.

GPT-4 is also incredibly useful for any user that needs to generate accurate text outputs. GPT-4 can generate text outputs without any errors or typos. This makes it an ideal tool for anyone who needs to generate a large amount of text quickly.

GPT-3 vs. GPT-4

The GPT-4 is a more creative and consistent model than the GPT-3, and it can generate longer texts with images. In all performance tests, GPT-4 outperforms its predecessors in accuracy and speed. This improved performance is since GPT-4 has a larger number of parameters than GPT-3. Additionally, GPT-4 has been trained on a much larger dataset, which helps the model to better capture the nuances of language.

GPT-4 has Longer Outputs

GPT-3 can answer around 3,000 words, while GPT-4 can respond with more than 25,000 words. For this reason, instead of understanding the capacity of GPT-4 with chatbots or small conversations, you can try to write a book with it. GPT-4 can write a book on the subject you specify in minutes due to its process capacity.

GPT-4 is More Creative

GPT-4 can quickly produce content such as a sci-fi story, a horror script, a story for a short film, a side-quest story for your game, a script focused on character development, and poetry. GPT-4 is much more advanced in the field of creative writing as it has larger data and more parameters than its predecessors.

GPT-4 is Better with Languages

Like its predecessors, GPT-4 was trained using the grammatical and literary structure of different languages. OpenAI has used the MMLU, which consists of 14,000 multiple-choice problems covering 57 topics, in 26 different languages to test the language skills of GPT-4. GPT-4 outperforms GPT-3 in 26 of 26 languages and outperforms other major language models in 24 of 26 languages.

gpt 4 multimodality

GPT-4 Generate Visual Inputs

The major feature that makes GPT-4 better than GPT-3 is that it can understand visual inputs and analyze visual input according to users' prompts. The new feature of the GTP-4 could revolutionize many industries. For example, online sales sites can add visual input features to their chatbots to increase customer satisfaction. Thus, when customers have problems with the product, they can solve their problems with the chatbot.

gpt 4 visual input

What can We Expect from GPT-4?

As GPT-4 is a more advanced artificial intelligence language model than its predecessors, our expectations are also increasing as users. As GPT-4 is a newly released model, applications that utilize GPT-4's full potential will develop soon.

Increase in Performance

GPT-4 has 500 times more parameters than its predecessor, GPT-3. For this reason, GPT-4's performance, process speed, output quality, and ability to complete complex tasks are higher. In other words, GPT-4 users will be able to achieve better results faster. This means that GPT-4 is more capable of generating longer texts with greater clarity than its predecessors. Additionally, GPT-4 is also more proficient at understanding more complex sentences and is better able to maintain consistency within generated texts.

OpenAI has measured the performance of the GPT-4 with exams designed for people like the Uniform Bar Examination and LSAT for lawyers, and the SAT for university admissions. GPT-4 achieved good enough results to be in the top 10% of these exams. The GPT-3 was in the worst 10% of these exams.

gpt 4 vs gpt 3

Greater Impact on Daily Life

According to GPT-4's performance tests, it can complete most tasks. For this reason, it is possible to say that GPT-4 will help people with more practical uses in the future.

To improve the learning process and learn more effectively, teachers can use GPT-4 to improve lesson quality and guide students better. Developers can use GPT-4 to develop their applications and find bugs in their programs. If you made a mistake while writing a code, GPT-4 can fix that code for you and explain the mistake. Also, writers can use GPT-4 to generate high-quality content and streamline their workload.

Make use of Generative AI's Capabilities with TextCortex

If you're looking for an AI companion that can help you utilize generative AI capabilities with your everyday tasks, get started with TextCortex now.

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TextCortex is available as a web application and also as a browser extension that is integrated with over 2000+ platforms. So, you can continue to collaborate with an AI anywhere without interruption. Also, TextCortex comes with ZenoChat, the best conversational virtual assistant as an alternative to OpenAI's ChatGPT.