- ChatGPT is an AI chatbot built on large language models (LLMs), and the latest versions like GPT-4 and GPT-4o are much more advanced than earlier models like GPT-3, offering bigger model sizes, multimodal abilities, and better reasoning skills.
- GPT-4 can handle longer conversations and inputs thanks to its huge context window, and newer versions like GPT-4o even support text, images, audio, and video together.
- Newer GPT models, like the o1 series, aim to improve reasoning by thinking through problems step by step before generating an answer, offering even more precise results.
What’s with all the new models these days?
If you’re trying to figure out which ChatGPT model to use for your project, it can be tough to understand all the differences.
When GPT-4 was released, it blew its predecessor out of the water. Here’s everything you need to know about how GPT-4 stacks up against GPT-3.
What is ChatGPT?
ChatGPT is an artificial intelligence chatbot powered by a large language model (LLM) and developed by OpenAI.
It uses machine learning and natural language processing (NLP) to understand input and provide relevant output – just like a human conversation.
GPT stands for Generative Pre-trained Transformer is a sophisticated neural network architecture used to train LLMs. It makes use of large amounts of publicly-available Internet data to simulate human communication.
What is the difference between GPT-3 and GPT-4?
1. 10x Bigger model size
GPT-3 has 175 billion parameters, whereas GPT-4 has 1.8 trillion parameters.
How? The GPT-4 architecture consists of 8 models, each of which is made up of 220 billion parameters.
2. Addition of multimodality
GPT-3 is unimodal, so it can only process and generate text.
GPT-4, on the other hand, has the ability to process both text and images. And GPT-4o introduced a combination of text, audio, image, and video formats – much more multimodal than its predecessor!
3. Much bigger context window
GPT-3 has a context window size of 2048 tokens. GPT-4 has a context window size of 128k tokens.
The context window refers to how many tokens of text that a model can process – the bigger the context window, the more input it can handle.
4. Better reasoning and problem-solving
On a number of standardized tests, GPT-3.5 was in the bottom 10% of passing candidates. But according to OpenAI’s tests, GPT-4 ranks in the top 10% of passing candidates.
5. Same pricing
Both the GPT-3 and GPT-4 models are free to use via ChatGPT.
What can I use GPT for?
With some imagination and technical know-how, there's no limit to the applications of GPT in your work or personal life. Companies are using the GPT engine to power sales chatbots, HR software, and even as personal therapists.
Here are a few of the most common ways users are making the most of ChatGPT:
Personal assistant
Need someone to handle your daily tasks without the small talk?
GPT can help draft emails, set reminders, plan trips, or even come up with dinner ideas. It’s like having a personal assistant that’s never late and doesn’t need coffee breaks.
Customer service
Tired of answering the same questions over and over? More organizations are using GPT-powered customer support chatbots to handle customer inquiries and troubleshoot issues. Think of it as a 24/7 support agent that always has the right answer.
Content creation
From blog posts to social media captions, GPT can help you write faster and better. Stuck on ideas? It’ll brainstorm. Need a full draft? It’s got you covered. It won’t replace your voice, but it can definitely speed things up.
Data Analysis
GPT can summarize reports, pull insights from spreadsheets, or even help you make sense of complex data sets. It’s like having an analyst who cuts through the noise and gives you the highlights.
Coding Help
Stuck on a coding problem? GPT can help debug your code, suggest improvements, or even write entire scripts. Code review and code generation bots have become mainstream for devs of all industries.
History of ChatGPT Models
While OpenAI produced LLMs GPT-2 and GPT-3, it wasn’t until GPT-3.5 that these models began to power ChatGPT.
GPT-3.5
Released in November of 2022, GPT-3.5 was the world’s first introduction to ChatGPT.
GPT-3.5 Turbo
The 2023 Turbo model updated improved the accuracy of ChatGPT’s responses, although it used a similar model to 3.5.
GPT-4
March of 2023 saw the release of a more advanced model. Compared to GPT-3, GPT-4 was more powerful and better optimized. It also introduced ChatGPT Plus to paying users.
GPT-4 Turbo
Released in November 2023, OpenAI launched a version of GPT-4 that included a far larger context window than its predecessor.
GPT-4o
GPT-4o was released in May 2024, the first truly multimodal LLM from OpenAI. The ‘o’ stood for ‘omni’, a nod to the model’s ability to analyze and generate text, images, and sound.
Notably, the 4o model was twice as fast and half the cost of GPT-4 Turbo, and was made available to all ChatGPT users (with a usage limit).
GPT-4o Mini
The Mini version of GPT-4o was released in July the same year. Its API costs were even lower than the original 4o model, and it replaced GPT-3.5 Turbo as the standard model for ChatGPT users.
OpenAI o1-preview
The latest release from OpenAI was the new o1 series, debuted September 12, 2024 after a highly-anticipated launch lead-up.
The preview model became immediately available on ChatGPT, albeit with low usage limits.
The o1 models are the first LLMs that claim to reason. If the o1 model is given a prompt, it won’t answer immediately – hence the long wait time.
Instead, it will reason through each of the steps, carefully considering each piece of information and its implications before deciding on the next course of action. It won't provide an answer until it has thought through the entire series of steps required.
OpenAI o1-mini
The o1-mini is smaller than o1-preview and 80% cheaper. It’s built for everyday tasks that require advanced reasoning, like coding or mathematics.
GPT-5
Users are unsure whether the latest o1 launch is the replacement or the predecessor for the long-awaited GPT-5 model. It may be until the next OpenAI launch that they receive confirmation.
What does it mean for users and businesses?
GPT-4 can generate vast amounts of content at a blinding speed, allowing companies to operate various aspects of their business with the help of artificial intelligence.
Businesses that get a hold of GPT-4 gain the capacity to generate content automatically, saving time and money while increasing their outreach.
Since the technology can work with any kind of text, the practical applications of GTP-4 are practically limitless.
How can GPT grow my business?
GPT-4's focus on functionality translates into an increase in operational efficiency. Businesses can use AI to upscale their customer support efforts, their content generation strategies, and even to improve sales and marketing activities.
GPT-4 empowers businesses to:
Create large volumes of content
Next-generation, advanced language models enable businesses to create high-quality content at a very quick pace. For example, a company can rely on artificial intelligence to generate social media content on a consistent basis. This helps a business keep a good online presence without having to put much thought into it.
Enhance customer support capabilities
AIs capable of producing human-like responses are incredibly useful for customer support. By producing clear responses to customer queries, AI solutions can handle the vast majority of common customer support situations. This helps reduce the amount of support tickets while also providing customers with a more direct method of getting answers.
Personalize the marketing experience
Thanks to GPT-4, it will be easier to create advertisement content that caters to varied demographics. AI can generate targeted content and ads that are more relevant to the people who will consume them. This strategy can help increase conversion rates among online users.
Build custom GPT chatbots
You can use powerful LLMs for your own use – and it’s easy to build with custom chatbot platforms.
Botpress is a flexible and endlessly extendable AI chatbot platform. It allows users to build any type of AI agent or chatbot for any use case.
Integrate your chatbot to any platform or channel, or choose from our pre-built integration library. Get started with tutorials from the Botpress YouTube channel or with free courses from Botpress Academy.
Start building today. It’s free.
FAQs
1. Is GPT-4 trained on the same data as GPT-3?
No, GPT-4 is not trained on the exact same data as GPT-3. While both models are trained on large-scale internet datasets, GPT-4 uses a more diverse dataset that includes broader linguistic coverage and higher-quality sources to improve factual accuracy.
2. How does OpenAI ensure that newer models like GPT-4 are safer or more aligned?
OpenAI ensures models like GPT-4 are safer by applying techniques like reinforcement learning from human feedback (RLHF), implementing strict content filters, and conducting red-teaming, where experts try to break or misuse the model to expose flaws before public release.
3. What are tokens and how do they translate into real-world usage?
Tokens are text chunks – usually 4 characters or ¾ of a word – used to measure input and output length in GPT models. For example, "OpenAI is great!" is six tokens. Token count affects model cost and how much context the model can process at once.
4. Why does GPT-4 sometimes still hallucinate or make up facts?
GPT-4 hallucinates because it generates text by predicting likely word sequences, not by consulting a verified database. If it lacks context, it may confidently generate plausible but inaccurate information.
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