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.

Indem Sie die Leistung der alten und neuesten Sprachmodelle messen, können Sie das richtige Modell für eine bestimmte Aufgabe auswählen.

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 Verarbeitung natürlicher Sprache (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.

Was ist 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.

Was ist 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: Die Unterschiede

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: Modellgröße

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 Milliarden Parameter. 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: Was es braucht und was es gibt

GPT-3 akzeptiert Texteingaben und Sie können Texteingaben in jeder beliebigen Sprache vornehmen. Sie können Textaufforderungen, Anweisungen, Code, lange Inhalte usw. geben und entsprechende Ausgaben anfordern.

Differently, as per OpenAI, GPT-4 can handle about 24,000 words of text. However, the system understands inputs in multiple modalities and Nimmt neben der Texteingabe auch Bilder auf. 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: Informationslimit

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: Ausgabequalität

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: Benutzervergleich

Viele moderne Unternehmen nutzen GPT-3, um neue und innovative Produkte und Dienstleistungen zu entwickeln. OpenAI nutzt GPT-3, um seine eigenen Produkte und Dienste wie ChatGPT und DALL-E.2 zu verbessern. Google verwendet GPT-3, um die Genauigkeit seiner Suchergebnisse zu verbessern. Darüber hinaus basieren auch viele beliebte KI-Schreibtools auf GPT-3. Zum Beispiel der Bing-Chat-Dienst von Microsoft, der hervorragende SEO-optimierte Content-Generator Holen Sie sich Genie AI, Grammatik und so weiter.

Im Gegenteil, die Liste der GPT-4-Benutzer ist noch unbekannt. Da der Entwicklungsprozess noch läuft, kann das Tool noch nicht allgemein genutzt werden. OpenAI nutzt jedoch GPT-4, um den neuen ChatGPT-Plus-Dienst voranzutreiben. Hoffentlich wird DALL-E.3 in Zukunft auch für GPT-4 verfügbar sein und die Leute können Ideen problemlos in Bilder umwandeln.

Preissystem

GPT-3 und GPT-3.5 sind kostenlos. Sie können das kostenlose ChatGPT online nutzen, um Inhalte zu generieren. Sie erhalten alle regulären Modellaktualisierungen, ohne dass Sie einen Plan erwerben müssen.

GPT-4 kostet $20 pro Person und Monat. Dieser Plan bietet Ihnen erweiterte Datenanalyse, Plugins, frühen Zugriff auf Beta-Funktionen sowie die Vorteile der kostenlosen Version.

Eine schnelle Vergleichstabelle

Merkmale	GPT-3	GPT-4
Modalität	Unimodal (nur Text)	Multimodal (Text und Bilder)
Genauigkeit	Weniger genau	Genauer
Anwendungen	Über 300 Apps	Unbekannt, API verfügbar
GPT-Trainingsdatengröße	175 Milliarden Parameter	1.80 trillion parameters
Größe	17 Gigabyte	45 Gigabyte
Prompte Länge	4.096 Token (maximal)	8.192 Token (maximal)
Geschwindigkeit	10 Milliarden Token pro Sekunde	100 Milliarden Token pro Sekunde

FAQs

Einpacken

Deshalb haben wir die wichtigsten Details von GPT 3 vs. GPT 4 aufgeschlüsselt. Ich hoffe, Sie haben jetzt klare Vorstellungen über diese GPT-Modelle.

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.

Es ist wichtig zu beachten, dass GetGenie Inhalte für Ihre Schreibaufgaben generiert, indem es das GPT-Sprachmodell von Open AI nutzt.