GPT 3 vs. GPT 4: Differences Between ChatGPT Models

Ever wondered how different ChatGPT models stack up against each other? With a variety of versions available, each adding more strengths and improvements, it’s essential to understand their differences clearly.

After GPT-3, OpenAI has brought many new changes and improved the model. GPT-4 comes with those changes and improvements. So, GPT-4 is built with different strengths, capabilities, improved performance, and efficiency.

Mierząc wydajność starych i najnowszych modeli językowych, można wybrać odpowiedni model do konkretnego zadania.

In this blog post, you will learn the significant characteristics and advancement of the two major models of the GPT series.

GPT model comparison

GPT (Generative Pre-trained Transformer) is an AI language model that uses deep neural networks to generate human-like text. GPT helps in writing, translation, question-answering, image generation, coding, etc. OpenAI has developed and trained this popular model with a large dataset of text and code.

Please note that, the first GPT model, GPT-1, was introduced by OpenAI in June 2018. It marked a significant step forward in przetwarzanie języka naturalnego (NLP) by using transformer-based neural networks capable of generating coherent, contextually relevant text. GPT – 2 followed suit in February 2019, offering more realistic text outputs. But the real game was about to change with the arrival of GPT – 3.

Co to jest GPT-3?

GPT-3, released May 28, 2020, was trained on a dataset of 500 TB of text and code. So, GPT-3 became very powerful and could generate text that resembled human-written text. The tool has amazed people with creative content and informative answers.

Later, developers presented GPT-3.5, an improved version of GPT-3. ChatGPT’s emergence is the result of GPT-3.5. Following this advancement, GPT-3.5 Turbo enhanced ChatGPT further.

Co to jest GPT-4?

GPT-4 is the fourth model of OpenAI’s GPT series. GPT-4 was released in March 14, 2023. This model is a multimodal large language model, unlike GPT-3, which is unimodal. GPT-4 is more advanced and reliable than ever.

OpenAI has now made GPT-4 the main model for ChatGPT and is available with the free version.

GPT 3 kontra GPT 4: różnice

Though GPT-4 has already been released, it continues to evolve through updates and improvements. It has significantly transformed how we interact with computers, offering more accurate, nuanced, and context-aware responses than previous models. There are several core differences between GPT-3 and the latest GPT-4, including reasoning ability, language understanding, and multi-modal capabilities.

GPT-3 kontra GPT-4: Rozmiar modelu

If you look at the GPT model sizes, you can see that OpenAI has trained them with really large datasets. But, How big is GPT-3? As per OpenAI, it has around 175 miliardów parametrów. It was the largest language model available before GPT-4.

What about the number of parameters in GPT-4? It is estimated to be roughly around 1.80 trillion! This estimate first came from AI experts like George Hotz, who is also known for being the first person to crack the iPhone.

In case you are wondering what “parameters” actually represent, they are the internal weights the model learns during training. Think of them as the “knobs” or “settings” that the model adjusts to improve its ability to predict the next word in a sentence, understand meaning, follow instructions, etc. These are sometimes compared to neurons in the brain.

So, if you are asking the model size of GPT-4 as compared to GPT-3, GPT-4 model is over 10 times larger than GPT-3! Making it the smartest LLM to exist till date.

GPT-3 kontra GPT-4: czego potrzeba i co daje

GPT-3 obsługuje wprowadzanie tekstu i możesz wprowadzać tekst w dowolnym języku. Możesz podawać podpowiedzi tekstowe, instrukcje, kod, długą treść itp. i odpowiednio prosić o wyniki.

Differently, as per OpenAI, GPT-4 can handle about 24,000 words of text. However, the system understands inputs in multiple modalities and pobiera obrazy oprócz wprowadzania tekstu. For some users, it can provide codes to build a simple website by taking only a hand-drawn mockup. Also, it can help you to recreate small games.

Users of ChatGPT Plus or Pro versions can develop their own GPTs or explore a myriad of GPTs integrated with other AI apps for various purposes. Examples would be Canva for image creation or Capcut for AI video generation.

GPT-3 kontra GPT-4: Limit informacji

GPT-3 has information that has data up to September 2021. Any events, developments, or information after that date are not part of GPT-3’s training data. If you use the updated GPT-3.5 Turbo version, it has updated information up to December 2023.

GPT-4 “legacy version” has a knowledge cutoff up to September 2021. However, GPT-4 Turbo and and the newer GPT-4o (Omni) has broader general knowledge up to December 2023.

As per New York Post, GPT-4.5 is less prone to so-called “hallucinations” – a phenomenon where AI models fabricate false responses to user prompts. OpenAI said the upgraded model has a hallucination rate of just 37.1%, down from 61.8% from the last version. It’s built-in info is updated up to February 2025, the month of its preview release.

GPT-3 kontra GPT-4: Jakość wyjściowa

GPT-3 is a conversational tool and is good at generating content. The tool can create copies, long content, and answer questions. However, it lacks common sense and cannot think critically compared to GPT-4. Its “hallucination rate” is also much higher, providing inaccurate answers to simple tasks.

The output quality of GPT-4 is more accurate, collaborative, and advanced than the previous versions. It helps you to generate content, edit, and do repeated writing tasks smartly to lessen your pressure. GPT-4 can craft stories, lyrics, social media copies, long-form content, etc. based on the prompts. Also, the tool creates captions for images, does classifications, and analyses smoothly.

GPT-4o can also make summaries from audio files and read texts on images.

GPT-3 kontra GPT-4: Porównanie użytkowników

Wiele nowoczesnych firm wykorzystuje GPT-3 do opracowywania nowych i innowacyjnych produktów i usług. OpenAI wykorzystuje GPT-3 do ulepszania własnych produktów i usług, takich jak ChatGPT i DALL-E.2. Google używa GPT-3, aby zwiększyć dokładność swoich wyników wyszukiwania. Co więcej, wiele popularnych narzędzi do pisania AI jest również obsługiwanych przez GPT-3. Na przykład usługa czatu Bing firmy Microsoft, doskonały generator treści zoptymalizowany pod kątem SEO GetGenie AI, Gramatyka i tak dalej.

Wręcz przeciwnie, lista użytkowników GPT-4 jest nadal nieznana. Ponieważ proces rozwoju wciąż trwa, ludzie nie mogą jeszcze powszechnie korzystać z tego narzędzia. Jednakże OpenAI wykorzystuje GPT-4 do napędzania nowej usługi ChatGPT plus. Mamy nadzieję, że w przyszłości DALL-E.3 będzie także dostępny dla GPT-4 i ludzie będą mogli łatwo konwertować pomysły na obrazy.

System cenowy

GPT-3 i GPT-3.5 są bezpłatne. Do generowania treści możesz używać darmowego ChatGPT online. Zapewni Ci wszystkie regularne aktualizacje modelu bez konieczności zakupu żadnego planu.

GPT-4 kosztuje $20 na osobę miesięcznie. Ten plan zapewni Ci zaawansowaną analizę danych, wtyczki, wcześniejszy dostęp do funkcji beta oraz korzyści płynące z wersji darmowej.

Szybka tabela porównawcza

Cechy	GPT-3	GPT-4
Modalność	Unimodalny (tylko tekst)	Multimodalny (tekst i obrazy)
Dokładność	Mniej dokładnie	Bardziej precyzyjne
Aplikacje	Ponad 300 aplikacji	Nieznane, dostępne API
Rozmiar danych treningowych GPT	175 miliardów parametrów	1.80 trillion parameters
Rozmiar	17 gigabajtów	45 gigabajtów
Szybka długość	4096 tokenów (maks.)	8192 tokenów (maks.)
Prędkość	10 miliardów tokenów na sekundę	100 miliardów tokenów na sekundę

Często zadawane pytania

Podsumowanie

Tak więc omówiliśmy kluczowe szczegóły dotyczące GPT 3 i GPT 4. Mamy nadzieję, że masz teraz jasne pojęcie na temat tych modeli GPT.

Among modern businesses, writers, researchers, artists, and others, GPT has gained much popularity. Developers have already designed several writing assistants, chatbots, and other AI tools using GPT-3 and GPT-3.5. Now you can also look forward to seeing the magic of GPT-4.

Należy pamiętać, że GetGenie generuje treść do zadań pisarskich, wykorzystując model języka GPT Open AI.