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.

En mesurant les performances des anciens et des derniers modèles de langage, vous pouvez choisir le bon modèle pour une tâche spécifique.

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 traitement du langage naturel (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.

Qu’est-ce que 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.

Qu’est-ce que 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 vs GPT 4 : les différences

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 : taille du modèle

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 milliards de paramètres. 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 : ce que cela prend et ce que cela donne

GPT-3 prend en charge la saisie de texte et vous pouvez saisir du texte dans n'importe quelle langue. Vous pouvez donner des invites textuelles, des instructions, du code, du contenu long, etc., et demander des résultats en conséquence.

Differently, as per OpenAI, GPT-4 can handle about 24,000 words of text. However, the system understands inputs in multiple modalities and prend des images en plus de la saisie textuelle. 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 d'informations

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 vs GPT-4 : qualité de sortie

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 vs GPT-4 : comparaison des utilisateurs

De nombreuses entreprises modernes utilisent GPT-3 pour développer des produits et services nouveaux et innovants. OpenAI utilise GPT-3 pour booster ses propres produits et services, tels que ChatGPT et DALL-E.2. Google utilise GPT-3 pour améliorer la précision de ses résultats de recherche. De plus, de nombreux outils d’écriture d’IA populaires sont également alimentés par GPT-3. Par exemple : le service de chat Bing de Microsoft, l'excellent générateur de contenu optimisé pour le référencement. GetGenie AI, Grammaire, et ainsi de suite.

Au contraire, la liste des utilisateurs de GPT-4 est encore inconnue. Le processus de développement étant toujours en cours, les utilisateurs ne peuvent pas encore utiliser largement l’outil. Cependant, OpenAI utilise GPT-4 pour alimenter le nouveau service ChatGPT plus. Espérons que DALL-E.3 sera également disponible pour GPT-4 à l'avenir et que les gens pourront facilement convertir des idées en images.

Système de tarification

GPT-3 et GPT-3.5 sont gratuits. Vous pouvez utiliser ChatGPT gratuit en ligne pour générer du contenu. Il vous fournira toutes les mises à jour régulières du modèle sans acheter de plan.

GPT-4 coûte $20 par personne et par mois. Ce plan vous fournira une analyse de données avancée, des plugins, un accès anticipé aux fonctionnalités bêta, ainsi que les avantages de la version gratuite.

Un tableau de comparaison rapide

Caractéristiques	GPT-3	GPT-4
Modalité	Unimodal (texte uniquement)	Multimodal (texte et images)
Précision	Moins précis	Plus précise
Applications	Plus de 300 applications	Inconnu, API disponible
Taille des données de formation GPT	175 milliards de paramètres	1.80 trillion parameters
Taille	17 gigaoctets	45 gigaoctets
Longueur de l'invite	4 096 jetons (maximum)	8 192 jetons (maximum)
Vitesse	10 milliards de jetons par seconde	100 milliards de jetons par seconde

FAQ

Emballer

Nous avons donc décomposé les détails clés de GPT 3 par rapport à GPT 4. J'espère que vous avez maintenant des idées claires sur ces modèles 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.

Il est important de noter que GetGenie génère du contenu pour vos tâches d'écriture en tirant parti du modèle de langage GPT d'Open AI.