GPT-3: The Most Popular Natural Language Model From OpenAI

What is GPT-3

GPT-3 is a natural language model developed by OpenAI, released in May 2020. It is capable of performing tasks such as search, conversation, text creation, and other advanced AI functions. The model was trained using 17.5 billion parameters and a 2048-token-long context, making it the largest of its kind to date.

On June 11, 2020, OpenAI made the GPT-3 API available to the public, leading to the development of over 300 applications based on the model. The high quality of text generated by GPT-3 makes it difficult to distinguish between human-generated and machine-generated text. In the original paper published by OpenAI researchers and engineers on May 28, 2020, they warn of the potential dangers of GPT-3 and call for research to reduce these risks.

Price: Start $0.0004 / 1K Tokens
Tag: AI Chatbot
Release time: May 2020
Developer(s): OpenAI

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How to use GPT-3

GPT-3 can be used to handle all text-based content generation. The original GPT-3 model was not directly available to regular users, and was primarily offered as an API for developers to build applications. Microsoft announced on September 22, 2020 that it had secured “exclusive” access to use GPT-3, but only Microsoft could access the underlying model of GPT-3, while others have to use the public API to receive output.

Developer Workflow:

  1. Register for an OpenAI account
  2. Log in to the OpenAI API platform
  3. Read the GPT-3 API documentation
  4. In the top right account section, you can see the process for creating an API key and related pricing information
  5. If you have any questions, you can contact OpenAI sales

GPT-3 Playground

GPT-3 Playground is a testing page for the GPT-3 API, where you can input any text and test the results returned by GPT-3. Please note the following reminders:

  • Each API account has an 18 dollar free quota for the first three months, after which you will need to pay for testing.
  • The GPT-3 model’s default training data is cut off at the end of 2021, so data from after 2021 may be inaccurate.
  • You can invite other team members to test on the GPT-3 Playground.

Functions of GPT-3:

  • Building Codex models, the foundation of GitHub Copilot
  • Generating specific code based on text using GPT-3
  • Constructing an online Chatbot using GPT-3
  • Creating marketing copy using GPT-3
  • Writing news articles using GPT-3
  • Diagnosing health using GPT-3

Application Scenarios of GPT-3

Chinchilla AI technology has great potential at the application level, referring to similar products like ChatGPT for answers:

  • Creating chatbots
  • Text content creation
  • Game or script creation
  • Code construction
  • Medical or legal assistant

As more and more developers apply AI technology to their products, this field will become increasingly interesting and will change people’s production and life.

GPT-3 Application Case

  • AI Dungeon: AI Dungeon is a text-based adventure game that utilizes GPT-3 to generate its content. The game allows players to choose their own adventure, with GPT-3 dynamically creating the storyline based on the player’s choices. This results in a unique and immersive gaming experience where no two playthroughs are the same. The use of GPT-3 in AI Dungeon showcases the AI’s ability to generate creative and engaging content on the fly.

  • Jasper AI: Jasper AI is a platform that leverages GPT-3 to generate specific content for marketers and copywriters. The platform can create a wide range of content, including blog posts, social media captions, product descriptions, and more. By using GPT-3, Jasper AI can produce high-quality content that is tailored to the user’s specific needs and preferences. This demonstrates GPT-3’s potential in content marketing and copywriting.

  • Fable Studio: Fable Studio uses GPT-3 to drive their story-driven “virtual characters”. These characters can interact with users in a natural and engaging way, thanks to GPT-3’s advanced natural language processing capabilities. The use of GPT-3 in Fable Studio highlights the AI’s potential in creating interactive and immersive virtual experiences.

Potential dangers of GPT-3 generating inaccurate information

  • Being used for sending spam emails
  • Being utilized for phishing scams
  • Misusing legal and government procedures
  • Writing fraudulent academic papers

The Price of GPT-3 API


Base models





$0.0004  / 1K tokens

$0.0005  / 1K tokens

$0.0020  / 1K tokens

$0.0200  / 1K tokens


Ada Fastest



Most powerful

For more information, please refer to the official description of OpenAI.

Is GPT-3 free forever?

From what it seems, Chat GPT will remain free for now. OpenAI even released a statement confirming they will “continue to offer free access” to the AI chatbot. But, will it always be free?This is very tough to predict. OpenAI originally started off as a non-profit company, offering its products and code for free to the public.

What’s a Token?

You can think of tokens as pieces of words used for natural language processing. For English text, 1 token is approximately 4 characters or 0.75 words. As a point of reference, the collected works of Shakespeare are about 900,000 words or 1.2M tokens.

Limitations of GPT-3

While GPT-3 is a powerful AI model that can analyze and produce text, it’s important to understand its limitations. One key constraint is that GPT-3 can only handle up to 4096 tokens, which translates to approximately 3000 words. To break it down, one token is roughly equivalent to 4 characters or, to simplify, around 0.75 words.

This limitation is significant because it applies to both the input (prompt) and output together within a single request. So, what does this mean in practical terms? Essentially, if you feed the model a text or document that exceeds, or even comes close to, 3000 words, it won’t be able to fully process it and will return an error.

Moreover, if your prompt is, for instance, 1500 words long, the model only has about 1500 words left for generating the output. This is because once the total number of tokens within a single request (combining the prompt and the output) hits the 4096 limit, the model won’t be able to generate any additional content.

The development of GPT-3

  1. On June 11, 2018, OpenAI released a paper titled “Improving Language Understanding by Generative Pre-Training,” in which they introduced the Generative Pre-trained Transformer (GPT).
  2. On February 14, 2019, OpenAI first announced GPT-2.
  3. On May 28, 2020, OpenAI first mentioned GPT-3 in a paper.
  4. On November 30th, 2022, OpenAI fine-tuned the successor model to GPT-3, GPT-3.5, and created a brand new application, ChatGPT. This application was made available to the general public for free and quickly gained popularity worldwide. 
  5. There have been reports that GPT-4 will be released to the public at some point in 2023.
Technical questions related to GPT can be referred to the original GPT-3 paper.Actually, OpenAI does not disclose much information about the technical details of GPT-3. To learn more, you can check out posts in the GPT-3 GitHub section.
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