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Copilot vs Codex: Decoding the Ultimate AI Programming Companion

6min Read

Explore an insightful comparison of Copilot and Codex in our article, revealing the best AI programming companion for enhancing your development journey and maximizing efficiency.

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The realm of software programming undergoes continuous evolution, prompting developers to actively seek tools that can streamline their workflow and enhance productivity. In recent years, artificial intelligence (AI) powered programming assistants have gained significant attention, with Codex and Copilot emerging as two of the most popular options. 

Collection of top AI tools to use for different tasks.

In this comprehensive guide, we’ll examine the key differences between Codex and Copilot, dive into their advantages and disadvantages, assisting you in determining which AI programming companion aligns best with your unique requirements.

All about AI programming tools

AI has made remarkable advancements, influencing various aspects of our lives, including software development. 

AI-powered programming tools have emerged as invaluable assets for developers, helping them automate mundane tasks, reduce the time spent on debugging and troubleshooting and enhance code quality. 

The Codex vs. Copilot debate is a hot topic in the developer community, as both tools offer powerful AI-driven code assistance that can significantly improve productivity.

Overview of Codex and Copilot

Before delving into the differences between Codex and Copilot, it’s essential to understand what each tool is and how they can benefit developers.

What is Codex?


Codex is an AI-powered programming tool developed by OpenAI. It’s designed to provide code suggestions based on natural language queries and has been trained on a vast amount of code and programming knowledge. 

Codex supports various programming languages, including Python, Java, Ruby, and JavaScript.

What is Copilot?

GitHub Copilot – Image via GitHub

Copilot is an AI-powered programming tool developed by GitHub in collaboration with OpenAI. It’s designed to provide code suggestions as developers type, using machine learning (ML) algorithms trained on billions of lines of code. 

Copilot is integrated into Visual Studio Code and supports multiple programming languages, including Python, JavaScript, TypeScript, Ruby, and Go.

How Codex and Copilot work

Both Codex and Copilot use AI-driven algorithms to provide code suggestions to developers. 

Here’s a brief overview of how each tool works:

How Codex works

With Codex, developers can enter natural language queries, and the tool will provide code suggestions related to the query. 

For example, if a developer asks, “How do I read a file in Python?”, Codex might suggest code that reads a file in Python. 

Furthermore, Codex can suggest code snippets for common programming tasks, such as sorting arrays or generating random numbers.

How Copilot works

When developers start typing code in Visual Studio Code, Copilot analyzes the input and provides suggestions to complete the code.

 For instance, if a developer is typing a function definition, Copilot might suggest the arguments the function should accept and its return type. 

Copilot can also suggest entire code blocks, including loops, conditionals, and error handling.

Language support and integration 

One of the critical factors to consider when choosing an AI programming companion is the tool’s language support and integration capabilities.

Codex language support and integration 

Codex supports a limited number of programming languages, including Python, JavaScript, TypeScript, Ruby, and Java. Currently, Codex doesn’t offer direct integration with IDEs, which means developers must use the tool separately to get code suggestions.

Copilot language support and integration 

In contrast, Copilot supports a wider range of programming languages, including Python, JavaScript, TypeScript, Ruby, and Go. 

Additionally, Copilot is integrated into Visual Studio Code, allowing developers to access code suggestions directly within their preferred IDE, streamlining the coding process.

Features and functionalities 

Code – Image via Unsplash

Let’s compare the features and functionalities of Codex and Copilot to understand how they stack up against each other.

Code Quality

Copilot is designed to help developers write clean, efficient, and error-free code. It uses ML algorithms to analyze code and generate suggestions that can improve code quality. 

On the other hand, Codex primarily serves as an autocomplete tool that helps developers save time by suggesting code snippets.


Copilot allows developers to create their own code snippets and customize the AI-generated suggestions, catering to their specific needs. 

Conversely, Codex is a more rigid tool that doesn’t offer the same level of customization as Copilot.

Take a look at some other cool latest AI programming tools to help you save time! 

Pros and cons of Codex and Copilot

To make an informed decision between Codex and Copilot, it’s crucial to weigh their respective pros and cons.

Pros of Codex

  • Provides code suggestions based on natural language queries. 
  • Supports a range of programming languages. 
  • Suggests code snippets for common programming tasks. 
  • Free to use. 

Cons of Codex

  • Limited language support compared to Copilot. 
  • Cannot improve code quality like Copilot. 
  • Lacks customization options. 
  • Not integrated into IDEs. 

Pros of Copilot

  • Supports a wide range of programming languages. 
  • Helps improve code quality. 
  • Offers customization options. 
  • Provides code suggestions as developers type. 
  • Integrated into Visual Studio Code for a seamless experience. 

Cons of Copilot

  • Can be resource-intensive, potentially slowing down the coding process. 
  • Requires extensive training data for accurate suggestions. 
  • May be expensive for individual developers. 
  • Available only as a paid service. 

Pricing comparison 

When choosing between Codex and Copilot, the cost of each tool plays a crucial role.

  • GitHub Copilot: Requires a GitHub subscription, starting at $19 per user per month for businesses.
  • OpenAI Codex: Currently available for free, but commercial use pricing hasn’t been announced yet.

Choosing the right AI programming companion 

The choice between Codex and Copilot depends on your individual needs and preferences. If you prefer an AI programming tool that provides suggestions as you type and integrates directly into your IDE, Copilot might be the better choice. 

However, if you want a tool that provides code suggestions based on natural language queries and is available for free, Codex could be a better fit.

It’s important to note that both tools have their limitations. Copilot may be more efficient for writing code, but it comes with a price tag and some limitations in its suggestions. 

Codex, on the other hand, is free and offers suggestions based on natural language queries but lacks integration into IDEs, which may affect its efficiency.

The best way to determine the right tool for you is to try both and see which one aligns better with your workflow and requirements.


Developer – Image via Pixabay

Both GitHub Copilot and OpenAI Codex provide powerful AI-assisted programming tools that can significantly improve developers’ productivity. The most suitable tool for you relies on your specific requirements and personal preferences. Consider factors such as the programming languages you use, your experience level, and your budget when choosing between these two tools.

In the end, the choice between Codex and Copilot comes down to your individual needs and preferences. Both tools offer a range of features and integrations that can help you create better software faster. Evaluate your specific requirements and choose the tool that best meets them.


Diya is an enthusiastic individual with a zeal to learn new things. She’s a Content Writer and Copywriter who turned her passion for writing poetry into a profession. She has written for various niches under the sun with experience and expertise in writing for topics related to AI and crypto. As a Content Writer at AMBCrypto, Diya tries to offer valuable insights into these subjects to help you keep up with the rapid technological advancements.
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