GPT 3 vs. GPT 4: Differences Between ChatGPT Models

When it comes to AI content generation, not all models perform the same. And this became clear to me when I started testing both GPT 3 and GPT 4 to select the right language model for GetGenie.

I ran a series of hands-on tests using both models inside OpenAI Playground. My goal was to evaluate how they perform across different GetGenie AI content templates, including blog posts, FAQs, and copywriting.

What I found interesting was that each had its own strengths. Based on output quality, consistency, and usability, I ended up selecting GPT-3 for certain templates and GPT-4 for others.

In this blog post, I’ll walk you through the exact metrics I used to test and compare both models. So, it’s GPT 3 vs. GPT 4.

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. 오픈AI has developed and trained this popular model with a large dataset of text and code.

GPT-3란 무엇입니까?

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.

GPT-4란 무엇입니까?

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 3과 GPT 4: 차이점

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 대 GPT-4: 모델 크기

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 1,750억 개의 매개변수. 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 대 GPT-4: 필요한 것과 제공하는 것

GPT-3는 텍스트 입력을 사용하며 모든 언어로 텍스트 입력을 제공할 수 있습니다. 텍스트 프롬프트, 지침, 코드, 긴 내용 등을 제공하고 이에 따라 출력을 요청할 수 있습니다.

Differently, as per OpenAI, GPT-4 can handle about 24,000 words of text. However, the system understands inputs in multiple modalities and 텍스트 입력 외에 이미지도 가져옵니다.. 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. If you’re curious about how such AI models are built, check out this guide on creating an AI system from scratch.

Examples would be Canva for image creation or Capcut for AI video generation.

GPT-3 대 GPT-4: 정보 제한

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 대 GPT-4: 출력 품질

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 대 GPT-4: 사용자 비교

많은 현대 기업은 새롭고 혁신적인 제품과 서비스를 개발하기 위해 GPT-3를 사용합니다. OpenAI는 GPT-3를 사용하여 ChatGPT 및 DALL-E.2와 같은 자체 제품 및 서비스를 강화합니다. Google은 검색 결과의 정확성을 높이기 위해 GPT-3를 사용합니다. 또한 많은 인기 AI 작성 도구도 GPT-3으로 구동됩니다. 예를 들어, 탁월한 SEO 최적화 콘텐츠 생성기인 Microsoft의 Bing 채팅 서비스가 있습니다. GetGenie AI, 문법 등등.

반면 GPT-4 사용자 명단은 아직 알려지지 않았다. 개발 프로세스가 아직 진행 중이기 때문에 사람들은 아직 도구를 널리 사용할 수 없습니다. 그러나 OpenAI는 GPT-4를 활용하여 새로운 ChatGPT plus 서비스를 강화하고 있습니다. 앞으로 DALL-E.3을 GPT-4에서도 사용할 수 있게 되어 사람들이 아이디어를 이미지로 쉽게 변환할 수 있기를 바랍니다.

가격 시스템

GPT-3 및 GPT-3.5는 무료입니다. 온라인에서 무료 ChatGPT를 사용하여 콘텐츠를 생성할 수 있습니다. 플랜을 구매하지 않고도 모든 정기 모델 업데이트를 제공합니다.

GPT-4 비용은 한 달에 1인당 $20입니다. 이 계획은 무료 버전의 이점과 함께 고급 데이터 분석, 플러그인, 베타 기능에 대한 조기 액세스를 제공합니다.

빠른 비교표

특징	GPT-3	GPT-4
양식	단봉(텍스트만)	다중 모드(텍스트 및 이미지)
정확성	덜 정확함	더 정확한
응용	300개 이상의 앱	알 수 없음, API 사용 가능
GPT 학습 데이터 크기	1,750억 개의 매개변수	1.80 trillion parameters
크기	17GB	45GB
프롬프트 길이	4,096개 토큰(최대)	8,192개 토큰(최대)
속도	초당 100억 개의 토큰	초당 1000억 개의 토큰

자주 묻는 질문

마무리

그래서 우리는 GPT 3과 GPT 4의 주요 세부 사항을 분석했습니다. 이제 이러한 GPT 모델에 대한 명확한 아이디어를 가지셨기를 바랍니다.

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.

GetGenie는 Open AI의 GPT 언어 모델을 활용하여 글쓰기 작업을 위한 콘텐츠를 생성한다는 점에 유의해야 합니다.