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.

古い言語モデルと最新の言語モデルのパフォーマンスを測定することで、特定のタスクに適切なモデルを選択できます。

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 自然言語処理 (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.

GPT-3とは何ですか?

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-4とは何ですか?

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 と GPT 4: 違い

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 と GPT-4: モデルのサイズ

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 1,750 億のパラメータ. 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 と GPT-4: 必要なものと得られるもの

GPT-3 はテキスト入力を受け付け、任意の言語でテキスト入力を行うことができます。テキスト プロンプト、指示、コード、長いコンテンツなどを入力し、それに応じて出力を求めることができます。

Differently, as per OpenAI, GPT-4 can handle about 24,000 words of text. However, the system understands inputs in multiple modalities and テキスト入力以外に画像も取得します. 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 と GPT-4: 情報の制限

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 と GPT-4: 出力品質

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 と GPT-4: ユーザーの比較

現代の多くの企業は、新しく革新的な製品やサービスを開発するために GPT-3 を使用しています。 OpenAI は GPT-3 を使用して、ChatGPT や DALL-E.2 などの独自の製品とサービスを強化します。 Google は GPT-3 を使用して検索結果の精度を向上させています。さらに、多くの人気のある AI ライティング ツールも GPT-3 を利用しています。例 - Microsoft の Bing チャット サービス、SEO に最適化された優れたコンテンツ ジェネレーター GetGenie AI、文法など。

それどころか、GPT-4ユーザーのリストはまだ不明です。開発プロセスがまだ進行中であるため、このツールはまだ広く使用できません。ただし、OpenAI は GPT-4 を利用して新しい ChatGPT plus サービスを推進しています。将来的には DALL-E.3 が GPT-4 でも利用可能になり、人々がアイデアを簡単に画像に変換できるようになることを願っています。

料金体系

GPT-3 と GPT-3.5 は無料です。無料の ChatGPT オンラインを使用してコンテンツを生成できます。プランを購入しなくても、定期的なモデルのアップデートがすべて提供されます。

GPT-4 の料金は 1 人あたり月額 $20 です。このプランでは、無料版の利点に加えて、高度なデータ分析、プラグイン、ベータ機能への早期アクセスが提供されます。

簡単な比較表

特徴	GPT-3	GPT-4
モダリティ	単峰性 (テキストのみ)	マルチモーダル (テキストと画像)
正確さ	精度が低い	より正確な
アプリケーション	300以上のアプリ	不明、API は利用可能
GPTトレーニングデータのサイズ	1,750 億のパラメータ	1.80 trillion parameters
サイズ	17ギガバイト	45ギガバイト
プロンプトの長さ	4,096 トークン (最大)	8,192 トークン (最大)
スピード	1秒あたり100億トークン	毎秒 1,000 億トークン

よくある質問

まとめ

そこで、GPT 3 と GPT 4 の重要な詳細を詳しく説明しました。これらの GPT モデルについて明確なアイデアが得られたことを願っています。

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.

GetGenie は、Open AI の GPT 言語モデルを利用して、執筆タスク用のコンテンツを生成することに注意することが重要です。