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.

Al medir el rendimiento de los modelos de lenguaje antiguos y más recientes, puede elegir el modelo adecuado para una tarea específica.

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. Abierto AI 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 procesamiento natural del lenguaje (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.

¿Qué es 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.

¿Qué es 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 frente a GPT 4: las diferencias

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 frente a GPT-4: tamaño del modelo

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 mil millones de parámetros. 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 frente a GPT-4: qué se necesita y qué ofrece

GPT-3 acepta entrada de texto y usted puede realizar entradas de texto en cualquier idioma. Puede proporcionar indicaciones de texto, instrucciones, códigos, contenido extenso, etc., y solicitar resultados en consecuencia.

Differently, as per OpenAI, GPT-4 can handle about 24,000 words of text. However, the system understands inputs in multiple modalities and toma imágenes además de la entrada de texto. 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 frente a GPT-4: límite de información

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 frente a GPT-4: calidad de salida

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 frente a GPT-4: comparación de usuarios

Muchas empresas modernas utilizan GPT-3 para desarrollar productos y servicios nuevos e innovadores. OpenAI utiliza GPT-3 para impulsar sus propios productos y servicios, como ChatGPT y DALL-E.2. Google utiliza GPT-3 para mejorar la precisión de sus resultados de búsqueda. Además, muchas herramientas populares de escritura de IA también funcionan con GPT-3. Por ejemplo, el servicio de chat Bing de Microsoft, el excelente generador de contenidos optimizado para SEO. GetGenie IA, Gramaticalmente, etc.

Por el contrario, aún se desconoce la lista de usuarios de GPT-4. Como el proceso de desarrollo aún está en marcha, la gente aún no puede utilizar ampliamente la herramienta. Sin embargo, OpenAI está utilizando GPT-4 para impulsar el nuevo servicio ChatGPT plus. Con suerte, DALL-E.3 también estará disponible para GPT-4 en el futuro y la gente podrá convertir ideas en imágenes fácilmente.

Sistema de precios

GPT-3 y GPT-3.5 son gratuitos. Puede utilizar ChatGPT gratuito en línea para generar contenido. Le brindará todas las actualizaciones periódicas del modelo sin comprar ningún plan.

GPT-4 cuesta $20 por persona al mes. Este plan le proporcionará análisis de datos avanzado, complementos, acceso temprano a funciones beta y los beneficios de la versión gratuita.

Una tabla de comparación rápida

Características	GPT-3	GPT-4
Modalidad	Unimodal (solo texto)	Multimodal (texto e imágenes)
Exactitud	Menos precisa	Más preciso
Aplicaciones	Más de 300 aplicaciones	Desconocido, API disponible
Tamaño de los datos de entrenamiento de GPT	175 mil millones de parámetros	1.80 trillion parameters
Tamaño	17 gigabytes	45 gigabytes
Longitud del mensaje	4.096 tokens (máximo)	8,192 tokens (máximo)
Velocidad	10 mil millones de tokens por segundo	100 mil millones de tokens por segundo

Preguntas frecuentes

Terminando

Entonces, desglosamos los detalles clave de GPT 3 frente a GPT 4. Espero que ahora tenga ideas claras sobre estos modelos de 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.

Es importante tener en cuenta que GetGenie genera contenido para sus tareas de escritura aprovechando el modelo de lenguaje GPT de Open AI.