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.

Misurando le prestazioni dei modelli linguistici vecchi e più recenti, puoi scegliere il modello giusto per un'attività specifica.

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 elaborazione del linguaggio naturale (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.

Cos'è 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.

Cos'è 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 contro GPT 4: le differenze

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 vs. GPT-4: dimensioni del modello

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 miliardi di parametri. 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 vs. GPT-4: cosa serve e cosa offre

GPT-3 accetta l'input di testo e puoi fornire input di testo in qualsiasi lingua. Puoi fornire suggerimenti di testo, istruzioni, codice, contenuti lunghi, ecc. e chiedere output di conseguenza.

Differently, as per OpenAI, GPT-4 can handle about 24,000 words of text. However, the system understands inputs in multiple modalities and prende immagini oltre all'input testuale. 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 vs. GPT-4: limite di informazioni

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 contro GPT-4: qualità dell'output

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 e GPT-4: confronto tra utenti

Molte aziende moderne utilizzano GPT-3 per sviluppare prodotti e servizi nuovi e innovativi. OpenAI utilizza GPT-3 per potenziare i propri prodotti e servizi, come ChatGPT e DALL-E.2. Google utilizza GPT-3 per migliorare la precisione dei suoi risultati di ricerca. Inoltre, molti popolari strumenti di scrittura AI sono alimentati anche da GPT-3. Ad esempio, il servizio di chat Bing di Microsoft, l'eccellente generatore di contenuti ottimizzato per il SEO Ottieni Genie AI, Grammaticale e così via.

Al contrario, l’elenco degli utenti GPT-4 è ancora sconosciuto. Poiché il processo di sviluppo è ancora in corso, le persone non possono ancora utilizzare ampiamente lo strumento. Tuttavia, OpenAI utilizza GPT-4 per alimentare il nuovo servizio ChatGPT plus. Si spera che DALL-E.3 sarà disponibile anche per GPT-4 in futuro e le persone potranno convertire facilmente le idee in immagini.

Sistema di prezzi

GPT-3 e GPT-3.5 sono gratuiti. Puoi utilizzare ChatGPT gratuito online per generare contenuti. Ti fornirà tutti gli aggiornamenti regolari del modello senza acquistare alcun piano.

GPT-4 costa $20 a persona al mese. Questo piano ti fornirà analisi avanzate dei dati, plug-in, accesso anticipato alle funzionalità beta, oltre ai vantaggi della versione gratuita.

Una tabella di confronto rapido

Caratteristiche	GPT-3	GPT-4
Modalità	Unimodale (solo testo)	Multimodale (testo e immagini)
Precisione	Meno accurato	Più accurato
Applicazioni	Oltre 300 app	Sconosciuto, API disponibile
Dimensione dei dati di formazione GPT	175 miliardi di parametri	1.80 trillion parameters
Misurare	17 gigabyte	45 gigabyte
Lunghezza immediata	4.096 gettoni (massimo)	8.192 gettoni (massimo)
Velocità	10 miliardi di token al secondo	100 miliardi di token al secondo

Domande frequenti

Avvolgendo

Quindi, abbiamo analizzato i dettagli chiave di GPT 3 rispetto a GPT 4. Spero che tu ora abbia le idee chiare su questi modelli 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.

È importante notare che GetGenie genera contenuti per le tue attività di scrittura sfruttando il modello linguistico GPT di Open AI.