Back in March 2023, OpenAI took a huge step forward in its quest to improve deep learning by introducing GPT-4, the company’s latest language model. GPT-4 is a major upgrade to the basic framework that powers their super-famous ChatGPT system and their GPT-3.5 API.

GPT-4 is a big multimodal model that can handle images and text. When you feed it some input, it spits out text. Although it’s not as skilled as humans in many real-life situations, it can perform like a human on many professional and academic tests.

In this article, we’ll see everything GPT-4 offers and how you can access GPT-4.

GPT-4 Introduction

OpenAI’s CEO Sam Altman tweeted the model as the company’s “most capable and aligned” to date, Which means it is designed to follow human ethics. He wrote more in his tweet that the model is still flawed, still limited, and gives a more splendid impression on first use than it does after you spend more time with it.

Furthermore, he said GPT-4 is more creative than its successor GPT3.5. It hallucinates significantly less, and it is less biased.

GPT-4: Packed With Incredible New Features

GPT-4 carries some exciting new features such as

It is Multimodal

Unlike its successor ChatGPT, GPT-4 is a multimodal model. It means it wouldn’t limit itself to text-only; it can work with a wide range of media types as both their output and input — everything from text to images and, ultimately, video. For example, you can input a handmade sketch into the AI chatbot, and it will transform the sketch into a functional web page.

Currently, GPT-4 supports images for both its inputs and outputs. As of now, this capability is only available to one third-party company, which is testing OpenAI’s image processing capabilities. Also, more users can use images as input once the system is faster. Although video inputs aren’t available yet, it’s likely on the way.

Processes Longer Text

Originally, ChatGPT could process 4,096 tokens. That’s about 5,000 words. This limitation occurs in both; the prompt we gave to it and the output it provides. Consequently, the system could not analyze large documents or write long-format texts like novels or blog posts. However, GPT-4 expands these limitations dramatically.

GPT-4 is capable of handling 8,000 tokens by default. Moreover, it can support up to 32,000 tokens. That’s almost 50 pages of text.

For instance, you can paste a website link into GPT-4 and ask it to analyze the text and create interesting long-form content. Or, you can give it a 30-page lawsuit and ask it to break it down for you. Pretty cool, right?

Factually, more correct

Besides generating text with higher coherence and fluency, the highly anticipated GPT-4 provides even more factual and accurate responses. We can expect to see an even greater level of factual realism in the generated text.

GPT-4 scores 40% higher on OpenAI’s internal factual performance benchmark than GPT-3.5 in terms of “hallucinations” or factual or reasoning errors.

Better at Human-oriented Tasks

ChatGPT’s underlying model GPT3.5 is pretty smart. It can even pass exams that humans take, like the bar exam. But, It’s barely passing with a C-grade or something like that. Now here is GPT-4, and it’s been trained to do these human-like tests and tasks a whole lot better.

GPT-4 now performs as well as a top student on many standard exams. AP Environmental Science exams, GREs, and even the LSAT — GPT-4 can easily score in the top 10%.

GPT-4 as compare to GPT-3.5

Although its bad at english but mathematical tasks are much improved with GPT-4 as compare to GPT-3.5.

Advanced Reasoning Capabilities

GPT-4 got incredible reasoning capabilities surpassing its predecessor. While chatGPT needs some prompting techniques to increase its output’s accuracy on arithmetic, commonsense, and symbolic reasoning tasks.

Here, GPT-4 surpasses ChatGPT in advanced reasoning.

chatgpt 4 capabilities

Offers Product Integration

Currently, you can check out GPT-4 in action on apps like Duolingo, Be My Eyes, Khan Academy, Stripe, and Morgan Stanley.

  • Be My Eyes

Be My Eyes uses GPT-4’s new feature for visual input to improve accessibility for visually impaired users.

  • Duolingo

Initially, the people at Duolingo tried to create scripted conversations with GPT-3, but this came across as a bit too mechanical. It has now included GPT-4 in its premium plan, Duolingo Max. This plan has two cool features: “Explain my answer” for language learners to receive AI-generated feedback on their lessons and “roleplay,” which lets you practice conversation in a foreign language with an AI language partner.

  • Morgan Stanley

Morgan Stanley trained a chatbot based on GPT-4 with decades-worth of information that helps validate and consolidate helpful information to provide insights for financial advisors.

  • Stripe

Stripe has been trying out some cool new features with GPT-4. They made a process to check and try out 50 different ideas, and they liked 15 of the prototypes enough to maybe add them to the platform.

What’s more, Stripe uses GPT-4 to catch fraudulent activity by looking at a bunch of different things to see if a business is legit or shady, even if they don’t have much of an online presence.

It’s highly possible that we’ll see GPT-4 integrated into even more products soon!


GPT-4 has better steerability than chatGPT. Basically, it can adjust its behavior based on what the user wants. You can tell it to write in a different tone or style. For example, Let it explain a data science concept to you by starting prompts with “You’re a garrulous data expert” or “You’re a terse data expert.

How To Access GPT-4?

You can access GPT-4 in several ways:

  • Bing Chat by Microsoft

The best way to get started with GPT-4 is to try it out through Microsoft’s Bing Chat. Although there are some limits to Bing Chat: you can only have 15 chats per session and 150 sessions per day.

  • ChatGPT Plus

ChatGPT Plus subscribers will get GPT-4 access on But remember, even though this subscription, there will be a user cap which means you may not be able to access it whenever you’d like, something to consider before investing. Currently, OpenAI is providing subscribers with 100 messages every 4 hours.

  • API’s

Another way to access GPT-4 is to join OpenAI’s GPT-4 waitlist. Even though the company is trying to make it happen as soon as possible, GPT-4 will likely take some time to be rolled out to everyone.

As of now, you can access only GPT -4’s text input capability since OpenAI is collaborating with a single partner to start its visual input capabilities through a platform.

GPT-3.5 vs. GPT-4: Which One Reigns Supreme?

Here is a breakdown of the differences between the largest language models, GPT-3.5 and GPT-4:

Features GPT-3.5 GPT-4
Model Size 175 billion parameters 170 trillion parameters
Training Data Diverse, multi-modal data from the internet More diverse and increased multimodality
Language Generation Quality State-of-the-art, highly coherent and consistency Further improved from GPT-3.5, with more human-like language generation
Few-shot Learning Better at adapting to new tasks with less data Further improved from GPT-3.5 — can perform complex tasks with very little training data
Parameter Efficiency Improved from GPT-3, more parameter-efficient Even more parameter-efficient
Inference Speed Faster inference speed Faster than GPT-3.5
Fine-tuning Capability Can be fine-tuned on a wide range of tasks Same as GPT-3.5
Multi-lingual Support Supports multiple languages Same as GPT-3.5

What Are the Key Limitations of the GPT-4 Language Model?

Despite its capabilities, GPT-4 shares some of the limitations of earlier GPT models, such as:

  • One significant limitation is that it is unreliable and can “hallucinate” facts and make reasoning errors. In spite of this, GPT-4 significantly reduces hallucinations relative to previous models.
  • GPT-4 has a limited understanding of events after September 2021 and can’t learn based on its own experience.
  • Like humans, GPT-4 can fail at complex tasks, such as introducing security vulnerabilities into the code it generates.
  • GPT-4 may confidently make incorrect predictions and does not have a built-in mechanism to double-check its work when it is likely to make a mistake.


Given its remarkable breakthrough capabilities, GPT-4 has the potential to enhance people’s lives by fueling a multitude of applications. Nonetheless, there is still a great deal of work to be done, and the creators of the model anticipate advancing their creation through the collaborative efforts of the community.

New developments with GPT-4 and other systems are exciting, but require a lot of attention to pull off amazing feats. In addition, if you are interested in integrating artificial intelligence into your product or service, feel free to reach out to us!