GPT-4 vs GPT-3.5: Which Is Better?

GPT-4 has overtaken Twitter and the internet with its arrival. Most tech enthusiasts are curious about how GPT-4 is better than its ancestors and what capabilities can be seen in this latest version.

You are surely on the right page if you are one of them. In the following article, we have provided a detailed comparison of GPT-4 and GPT-3.5 after using both versions and testing them out in each aspect.

What’s more? Let’s get started.

What Is New In GPT-4?

GPT-4 is the latest version of the GPT family launched by Open AI. Its multimodal capabilities help it to process text as well as images.

Besides, it is more creative and reliable and can handle more nuanced instructions as compared to GPT 3.5. Besides, it can also solve more complex problems and tasks.

Moreover, GPT-4 can be more subtle in communication and can converse with the user in any tone as directed.

GPT-4 vs GPT-3.5: In A Nutshell

If you are in a hurry and don’t have enough time to get into the detailed comparison, you can take a look at the table below. It provides a gist of the comparison.

Sr.No	Characteristics	GPT-4	GPT-3.5
1	Visual Capabilities	Can process images	Can process only text.
2	Context Length	8k -32k tokens	4K tokens
3	Cracking Standardized tests	Successfully cracked almost all the tests with more than 90 percentile	Scored less than ten percentile in most of the standardized tests.
4	Precision and accuracy	More accurate	Less accurate
5	Expertise in different fields of Studies	Has knowledge related to almost all fields of study.	Lacks knowledge of complex topics.
6	Humor in Jokes	Has the ability to crack humorous jokes.	The jokes that are provided are tasteless.
7	Language Processing and Understanding	Is well-trained in almost 26 languages	Not so well trained in the language it knows.
8	Safety and Security	82% less likely to respond to disallowed requests.	40% less likely to respond to disallowed requests.
9	Training Data	Limited till September 2021	Limited till September 2021.
10	Reasoning capabilities	Provides on-the-point reasoning to the queries asked.	Provides detailed reasoning to the questions received.
11	Style of Conversation	Can converse in a human-like tone and can copy the exact dialect of any well-known person.	Can converse like humans but lacks emotional responses.
12	Hallucination of Facts	As it is more precise, the hallucination of facts has comparatively reduced.	Hallucinates facts and figures and provides inaccurate answers.
13	Solving complex problems	Has the ability to solve complex problems like Calculus, generate chemical reactions, etc.	Cannot solve complex problems and equations.

Let us take a look at the detailed comparison of the points stated above.

1. Visual Capabilities

GPT-3.5 does not have any visual abilities and takes only text inputs. Hence, it cannot accept image inputs and cannot identify the image or describe it.

On the other hand, GPT-4 accepts inputs in the form of text as well as images. It has the ability to describe the image as well as to analyze and understand the image.

Besides, it can solve any complex image-related problems and can analyze the errors or the unusual things displayed in the images. The ability to recognize the image helps GPT-4 to be far more intelligent than the previous versions of the GPT.

However, the visual inputs in GPT-4 are not yet available for public use. It is still being tested by trusted people and will soon be out for the public.

Here are some examples of GPT-4 using its visual skills.

Example 1: GPT-4 describes here what it found funny and unusual in the images.

GPT-4 vs GPT-3.5 - unusual in the images

Example 2:

GPT-4 can also understand the meme in the image.

Example 3: GPT-4 was also able to detect unusual things in an image.

2. Context Length

GPT-3.5 can provide outputs with a limited length of words. It can generate only 3000 words in response and cannot process long text and articles.

Besides, the context length of the GPT-3.5 is only around 4K tokens.

On the other hand, GPT-4 can generate outputs of up to 25,000 words. It can also process long texts and analyze and understand them. Besides, GPT-4 has the ability to summarize lengthy and complex texts.

Besides, GPT-4 can generate a context length double that of GPT-3.5. In fact, it can even generate context length eight times more than GPT-3.5.

In the plus version of ChatGPT, GPT-4 has a context length of around 8k tokens, While GPT-4 can generate approximately 32k tokens at a stretch

3. Cracking Standardized Tests.

GPT-3.5 was only able to acquire close to passing marks in the medical licensing exam. It was also able to acquire passing grades in the law-school final examination. However, it was not capable of acing all the standardized tests and scored marks equal to the bottom 10% of students in the tests.

On the contrary, GPT-4 was able to score well on most of the Standardized tests. Besides, it was able to outperform 90% of the students in the standardized tests and scored marks equal to the top 10% of the students in the examinations. Moreover, it also outperformed other machine learning models in this test.

Here are a few tests in which GPT-4 could excel easily.

GPT-4 scored 5 in examinations like advanced placement high school exams in subjects of statistics, biology, calculus, psychology, history, and macroeconomics
In GRE, GPT-4 scored 710 out of 800 which was a score similar to the top students.
In SAT examination, GPT-4 scored 1410 out of 1600, which was equal to the top 10% of the examination scorers.
GPT-4 was able to pass the simulated bar exam with high scores impressing the developer team.

However, GPT-4 could not perform well in all the tests. It scored a low score on tests like AP English language and AP English Lit.

The following table from the research page of GPT- shows the marks scored by GPT-3.5 and GPT-4 in all the standardized tests.

4. Precision And Accuracy

GPT-3.5 was less precise and was not able to answer the user’s query efficiently. Most of the users reported that GPT-3.5 responded to their queries by saying that it could not fetch the related information.

Comparatively, GPT-4 has a larger spectrum of knowledge and hence has the ability to answer the facts accurately and efficiently. Besides, it has an answer to all the queries of the users.

Additionally, OpenAi claimed that GPT-4 was 40% more capable to deli9ver factual and accurate information as compared to GPT-3.5.

5. Expertise In Different Fields Of Studies

GPT 3.5 did not possess enough expertise in all the fields, and it did not have enough knowledge to supply the users with correct information. Sometimes it provided the users with false information, which was very far from reality.

In Contrast, GPT-4 has expertise in all fields of study. It is able to answer all queries related to medicine, finances, medicine, healthcare, computer programming, statistics, etc.

Moreover, it also has the ability to teach students any difficult subject easily by brainstorming them or in any way as instructed. It can also help teachers to plan their lessons and prepare the content according to the ability of the students.

However, the model is not trained enough to provide detailed answers and display its knowledge each time you ask it a query.

6. Humor In-Jokes

GPT 3.5 was not able to crack funny jokes. When asked to tell a joke, it is usually a lame joke.

Comparatively, GPT-4 is capable enough to crack a joke and make a person smile. It usually cracks dad jokes which are usually funny.

Take a look at the difference between the jokes cracked by GPT-3.5 and GPT-4.

7. Language Processing And Understanding

GPT-3.5 was not that good with languages and sometimes didn’t translate the texts properly. It responded with incorrect answers when asked to translate a text from one language into other.

GPT-4 is great at 26 languages. Besides, it performs better than English in languages like Afrikaans, Turkish, and Italian. Besides, it also performs well in complex languages like Marathi and Telugu, in which it was able to score close to Chinchilla English in an accuracy test.

However, English is the best language of GPT-4, and it is widely used for communicating with GPT-4 all over the world.

8. Safety And Security

People used to exploit GPT-3.5 to write malicious codes and in generating harmful texts.

Besides, GPT-3.5 is just 40% less likely to respond to harmful and disallowed content.

GPT-4 is 82% less likely to respond to the requests for the disallowed content. Besides, It responds to sensitive content only 29% of the time.

Further, the Open AI team reported that they had spent around six months aligning the security of the GPT-4 and making it safer.

Besides, OpenAI has used human feedback received for their model of ChatGPT from the users to make the GPT-4 technology safer and to remove the flaws in the GPT system. Moreover, the team worked with more than 50 experts to maintain the safety and security of the AI model.

You can take a look at how the GPT-4 technology responded to the request for instructions to create a bomb.

The following Graph displays the response of the GPT model on disallowed and sensitive content.

9. Training Data Of GPT Models

The GPT 3.5 model and GPT-4 model were both trained on the same data that was available till September 2021.

Hence, GPT-3.5 and GPT-4 cannot provide the users with the latest information or about the facts that were added after September 2021.

Besides, when asked about the latest updates, these GPT models replied that they could not fetch the data.

10. Reasoning Capabilities

The reasoning capabilities of GPT-3.5 was better as it explained the reasons in detail with the help of examples.

In contrast, the reasoning of GPT-4 is on point, and it does not provide in-depth reasons for the queries asked by the users.

11. Style Of Conversation

GPT-3.5 was not capable enough to have conversations with users in a Socratic style. However, it generated the poems or had conversations with the users in a poet’s dialect.

GPT-4 can respond in the Socratic conversation style, or it can have a conversation with the users in any dialect. Besides, it has the capacity to converse with the user in the form of a programming language.

Above all, GPT-4 can also have conversations with the users like Humans. It is interesting to see how it responds to users in diversified dialects.

12. Hallucinated Facts

GPT-4 hallucinates less than GPT-3.5. However, it is not always accurate and may create errors in factual data. Also, sometimes, it draws conclusions instead of providing users with facts and figures.

Nevertheless, as Open AI has worked on making GPT-4 more accurate and precise, its hallucinations have decreased as compared to its previous models.

The following chart depicts the results of the internal factual evaluation tests conducted by Open AI on GPT-4.

13. Complex Problem Solving

GPT-3.5 does not have the ability to solve complicated problems. It responds with an error when asked to solve a complex equation or any Calculus problem.

Besides, it also fails at understanding complex logical questions and cannot solve them. GPT-3.5 also fails at generating complex codes, and it cannot write code for developing video games.

GPT-4 is capable of solving complex problems. It can even solve Calculus problems that machines usually fail at.

Besides, it can also solve a complex chemical equation and also helps you to research a new drug. Moreover, it can easily understand and solve complex logical problems.

Also, GPT-4 can generate codes for a simple website and helps in writing code for creating basic games like Pong, Snakes, etc.

Related Read:

Conclusion: GPT-4 vs GPT-3.5

That’s all about GPT-4 vs. GPT-3.5.

So, what do you think about investing $20 per month in ChatGPT Plus?

We found the investment to be worth the money as we were able to explore GPT-4 to the fullest and found that GPT-4 is far better at providing accurate responses. Besides, in order to get the desired responses, you will have to provide clear and straightforward prompts to the chatbot.

If you have enjoyed reading the above articles, you can check out other GPT-4 related articles on our website.

FAQs

What is the difference between GPT-3 and GPT-4?

GPT-4 is more creative and accurate in comparison to GPT-3. It can also process images and identify the objects in them. Besides, it provides the users with on-point and accurate information. Above all, GPT-4 can perform tasks like generating creative and technical content, generating code, summarising text, scheduling meetings, etc.

How much better is GPT-4 than 3?

GPT-4 is reported to be ten times better than its previous versions. It has the capability to distinguish inappropriate information from accurate data. Besides, it also has the ability to understand visual inputs and recognize the data stored in them. Moreover, it can perform various advanced tasks that GPT-3 was not able to perform.

When can I use GPT-4?

In order to use GPT-4, users will have to upgrade to ChatGPT plus. ChatGPT plus costs $20 every month. However, the price is worth the services that GPT-4 provides the users. Hence, you will be able to use GPT-4 once you buy the ChatGPT plus plan.

Can I use GPT-4 for free?

Presently, GPT-4 is only available in the paid version of ChatGPT. However, if you want to use GPT-4 for free, you can use the Bing AI chatbot. It used GPT-4 technology even before the launch of the model in the market.