ChatGPT is the most popular term that made the headlines in technology in 2023. It was rolled out in November 2022 and caught the attention of the whole world within no time. Now, it is time to think of the GPT 4 vs. 3.5 debate, as the latest version of ChatGPT gained attention for its groundbreaking performance as a generative AI tool. It is important to focus on the performance of GPT-4 as it has ten times the number of parameters that you can find in GPT-3.5. With more number parameters, GPT-4 has been trained by using more code and text.

GPT-4 has better capabilities for understanding difficult questions and intricate nuances in language. On the other hand, the GPT 4 and 3.5 difference comparison would offer insights into other aspects of the two models. Which option is the best for you? Before you use generative AI for any project, you must know about the differences between the underlying model options in ChatGPT. Let us uncover the difference between ChatGPT 4 and 3.5 models on the basis of different types of factors.

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Why Do You Need GPT?

GPT, or Generative Pre-Trained Transformer, refers to the unique LLMs or large language models that serve as the foundations of generative AI. You can notice the popularity of GPT in the fact that almost 92% of Fortune 500 companies use ChatGPT. The answers to “What is the difference between GPT-3.5 and GPT-4?” are important to determine the best ways to use GPT to your advantage. GPT or ChatGPT can help you with different types of tasks, such as text generation, language translation, and development of different types of creative content.

ChatGPT can serve a wide range of unique use cases by leveraging GPT models. For example, GPT can be a useful tool for improving effective communication. It can work on language translation, text summarization, and creation of text in different creative formats. Companies can use GPT to translate their marketing materials into different languages to reach a wider audience. 

The ChatGPT 3.5 vs. 4 comparison is also essential as GPT can serve viable contributions to improvement in productivity. GPT can help in automation of different tasks, such as writing reports and emails. For instance, customer service representatives can use ChatGPT to generate personalized responses to customer questions.

GPT can also help in enhancing creativity through generation of new concepts and ideas. For example, writers can use ChatGPT to brainstorm and research new ideas for articles and blogs.

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Real Examples of GPT Utilization 

The use of GPT in real-world cases also serves as an indication of ChatGPT’s potential. You must understand the GPT 3.5 vs. 4 comparisons because GPT has found applications in real world. An in-depth understanding of the differences between the two variants of GPT can help you discover new ways to leverage the generative AI wonder by OpenAI.

  • Duolingo utilizes GPT to generate personalized language lessons and exercises for users.
  • Expedia utilizes the GPT model to generate personalized travel itineraries for customers.
  • Askviable utilizes GPT to analyze customer feedback and identify potential areas for improvement.

What are GPT 3.5 and GPT 4?

The best way to find out the difference between GPT 3.5 and 4 would be to focus on understanding their fundamentals. ChatGPT 3.5 or GPT 3.5 is the refined model of GPT-3. It was introduced in November 2022 and is accessible through the free web app version as well as the paid Turbo API. On the other hand, ChatGPT 4 or GPT-4 came in March 2023.

It was designed to serve as an effective option for the use of GPT in workplace tasks. GPT-4 is the model underlying ChatGPT Enterprise and ChatGPT Teams, which are the first formal commercial enterprise solutions by Open AI. GPT-4 claims the limelight for its additional features, such as multimodality and considerations for API implementation. 

Differences between GPT-4 and GPT-3.5

The selection of a generative AI model can be difficult without comparing the respective features. You can break down the differences between the two models in a GPT 4 vs. 3.5 comparison based on different aspects such as features, capabilities, and other parameters. Here is an overview of the major differences between GPT 3.5 and GPT 4 that you should watch out for at all costs.

  • Extended Capabilities 

The first thing you need to check in the GPT 4 and 3.5 difference points at the comparison between the extended capabilities of the two models. OpenAI introduces new features in its GPT models to meet the requirements of complex use cases in different industries.

GPT 3.5 presents a wide range of capabilities, such as understanding and generating text in natural language for addressing different natural-language-related tasks. It can help in translation of text into different languages with accuracy and fluency. GPT-3.5 can also generate concise summaries or answer questions by offering relevant information. It is also a useful resource for generating content for different use cases, such as code generation or writing emails. 

GPT-4, on the other hand, has been designed to offer better functionalities than its predecessor. OpenAI has created GPT-4 to offer better reliability and creativity alongside the capabilities for managing nuanced instructions more effectively. Most of the responses to “What is the difference between GPT-3.5 and GPT-4?” focus on the capabilities introduced in GPT-4.

The foremost extended functionality in GPT-4 is the assurance of multimodality, which enables the acceptance of images as inputs for analysis and the generation of inputs. GPT-4 also stands out with its two context window sizes featuring 8,192 and 32,768 tokens, which help the model manage more than 25,000 words of text. It can help address use cases such as extended conversations, document search and analysis, and long-form content creation.

Another significantly extended functionality you can find with GPT-4 includes better safety and alignment features. OpenAI has implemented necessary measures to ensure that GPT-4 is more secure and better aligned with user intent. The internal assessments by OpenAI in April 2023 have revealed that GPT-4 is 82% less likely to respond to requests for problematic content. On top of it, GPT-4 is 40% more likely to generate contextually relevant answers than GPT-3.5. You must also note that GPT-4 API also features the Chat Completions API, which supports text summarization and completion of programming code. 

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  • Accuracy 

The next point of comparison between GPT 3.5 and 4 revolves around accuracy. It is important to note that GPT-3.5 has been trained only on content published before September 2021. Therefore, it does not guarantee accuracy in responses to queries about latest events and trends. On the other hand, GPT-4 can stand out with better contextual relevance in responses to queries about recent events. At the same time, it is also important to note that the performance of GPT-3.5 and GPT-4 has been deteriorating over time.

  • Availability and Pricing

Availability and pricing would become the most important determinants for choosing artificial intelligence models as more AI startups arrive in the market. The ChatGPT 3.5 vs. 4 comparison must focus on the different pricing options that you can consider with each model. The free version of ChatGPT offers access to functionalities of GPT-3.5 model.

However, you would have to pay for the GPT-3.5 Turbo API. For the GPT-3.5 Turbo 0125, you would have to pay $0.0005 for 1k input tokens and $0.0015 for 1k output tokens. For the GPT-3.5 Turbo Instruct model, you have to pay $0.0015 for 1k input tokens and $0.0020 for 1k output tokens. 

You can avail of the GPT-4 model functionalities on ChatGPT Plus for a monthly subscription of $20 per user. GPT-4 is also available with the ChatGPT Team, which requires a monthly subscription of $25 per user. If you want access to GPT-4 with ChatGPT Enterprise, then you would have to contact the sales team of OpenAI for pricing. 

You can use GPT-4 APIs with a different pricing structure. For example, the GPT-4 API charges $0.03 for 1k input tokens and $0.06 for 1k output tokens. On the other hand, GPT-4 32K API costs $0.06 for 1k input tokens and $0.12 for 1k output tokens. 

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  • Training Data and Algorithms 

GPT-4 has been trained on a larger database, which includes ten times more parameters than the training data used for GPT-3.5. In addition, the training data for GPT-4 comes from a diverse dataset. With the help of a broader dataset, GPT-4 can effectively reduce biases due to skewed or restricted data samples. The algorithms used for GPT-4 have the capability for better identification and mitigation of biases in training data. 

  • Contextual Understanding 

The difference between GPT 3.5 and 4 also invites attention to their capability for contextual understanding. GPT-4 stands out over 3.5 in terms of advancements in effective understanding and maintenance of context in longer texts or conversations. The contextual awareness in GPT-4 ensures that the model can deliver more accurate and balanced responses.

  • Linguistic Effectiveness 

GPT-3.5 is a trusted generative AI model that can help in generating text in natural language. On the other hand, GPT-4 has better capabilities for understanding and generating different dialects alongside responding to different emotions in the text. 

The GPT 4 vs. 3.5 comparison in terms of linguistic effectiveness focuses on how GPT-4 recognizes user emotions and responds to them with sensitivity. As a result, interactions with GPT-4 are likely to feel more genuine and personalized. Another important highlight in which GPT-4 offers better linguistic effectiveness than GPT-3.5 is the ability to understand dialects.

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Final Words

The comparison between GPT 3.5 and 4 emphasizes the usability of the two models. You can notice how GPT-4 is better than its predecessor in different ways, such as in terms of the size of training data, contextual understanding, and accuracy. It is important to note that GPT-4 resolves one of the most critical setbacks of GPT-3.5, i.e., limitations in responding to queries about events after September 2021. On the other hand, the most noticeable setback of GPT-4 is the fact that you can access it only with a paid subscription. Dive deeper into the world of generative AI and large language models to uncover the special traits of GPT 3.5 and GPT 4 right away.

About Author

James Mitchell is a seasoned technology writer and industry expert with a passion for exploring the latest advancements in artificial intelligence, machine learning, and emerging technologies. With a knack for simplifying complex concepts, James brings a wealth of knowledge and insight to his articles, helping readers stay informed and inspired in the ever-evolving world of tech.