ChatGPT vs Gemini: Which AI Chatbot Writes Better Code?

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Introduction

When it comes to coding, having an AI-powered chatbot that can assist and generate code can be a game-changer. In this article, we will compare two popular AI chatbots - ChatGPT and Gemini - to determine which one performs better when it comes to writing code.

Main Differences between ChatGPT and Gemini

Before we dive into the coding capabilities of ChatGPT and Gemini, let's first understand the key differences between the two chatbots.

Self-Awareness: Gemini has self-awareness, which means it can recognize and understand its own existence, while ChatGPT lacks this capability.
Ethical Reasoning: Both ChatGPT and Gemini possess ethical reasoning abilities, allowing them to make ethical decisions when generating code.
Small Talk: Gemini is better at engaging in casual conversations and small talk, making it more conversational and personable compared to ChatGPT.
Retrieving Facts: When it comes to retrieving factual information, both ChatGPT and Gemini excel at finding and presenting accurate information.

Coding Proficiency

One of the most important aspects of an AI chatbot's capability is its proficiency in coding. To assess the coding abilities of ChatGPT and Gemini, we performed a one-to-one coding comparison.

Task 1: Recursive File Property Printout

For the first coding task, we asked both chatbots to generate a recursive file property printout. ChatGPT successfully generated the desired code, but Gemini went a step further by providing a more optimized and efficient solution.

Task 2: Web Scraper

Next, we tested the chatbots' ability to create a web scraper. While ChatGPT was able to generate a functional web scraper, Gemini's solution included additional error handling and robustness.

Natural Language Understanding

In addition to coding proficiency, natural language understanding is crucial for an AI chatbot. It enables the chatbot to comprehend and respond accurately to user queries.

Task 3: Stock Web Application

To assess the natural language understanding of ChatGPT and Gemini, we asked them both to build a stock web application. Both chatbots were able to understand the requirements and generate code accordingly. However, Gemini's code was more organized and modular, making it easier to maintain and extend.

Creative Text Generation & Adaptability

While coding proficiency and natural language understanding are essential, an AI chatbot's ability to generate creative and adaptable code is equally important. We evaluated this aspect by testing the chatbots on creative text generation.

Failures and Hallucinations

During the creative text generation test, ChatGPT exhibited some failures and hallucinations. It generated code that didn't align with the desired outcome. On the other hand, Gemini consistently produced code that met the requirements and demonstrated a higher level of adaptability.

Reasoning & Problem-Solving

AI chatbots should be able to reason and solve complex problems. We assessed the reasoning and problem-solving abilities of ChatGPT and Gemini through a series of tests.

Conclusion

After conducting a comprehensive comparison between ChatGPT and Gemini, it is clear that Gemini outperforms ChatGPT in various aspects of coding. Gemini's self-awareness, small talk capabilities, and higher proficiency in coding make it the preferred choice for developers looking for an AI chatbot that excels in writing code. However, ChatGPT still holds its own in natural language understanding and creative text generation.

Related Resources

Explore the following resources to learn more about ChatGPT and Gemini:

Related Technical Documentation
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