Beyond the Hype: Evaluating Google Gemini and GPT-4

2-3 min read • 

Chat-GPT is one of the most symbolic achievements in our history thus far, marking the beginning of the AI revolution. OpenAI, the company behind the Chat-GPT's success, has upgraded its model to GPT-4, an AI with reasoning abilities far beyond the power of it's predecessor along with the ability to take in visual inputs as well as the ability to output AI-generated images. 

However, as powerful as this AI may be, it is not without competition. Google has created its own AI powerhouse, Google Gemini, that confronts the abilities of GPT-4 head on. 

While both models boast extraordinary capabilities and lead the AI industry together, each model has its own strengths and weaknesses, and in this post I will uncover the strengths and weaknesses of both Google Gemini and GPT-4 so that you know which AI is more suited to your needs.

Note: The information in this blog is updated as of January 7th, 2024— the day that I am writing this. There may be technological advancements and / or changes that can invalidate what I talk about here.

Text Generation:

While both Google Gemini and GPT-4 excel at wielding and generating text to fit various writing styles, each has its own strengths and weaknesses. GPT-4 is stronger in the areas of coherency and creativity in its text; it is better for writing structured essays and poems with sufficient creativity. 

On the other hand, Google Gemini is better at multimodal proficiency, meaning that it can deal with more types of inputs more efficiently, including a better understanding of audio, visual, and text-based inputs. 

In short, GPT-4 is better at text generation, while Gemini is more all-rounded, being able to handle multi-input prompts more efficiently.

Computational Approach:

For scientific, discrete, and logical reasoning, GPT-4 is unmatched. GPT-4 can efficiently draw inferences, analyze patterns, and complete tasks that would require heavy logic, making it a valuable tool for data analysis and research. 

Google Gemini takes a more holistic approach, meaning that it can have a richer understanding of the inputs given to it and make connections between the inputs much more efficiently. Essentially, it's better at understanding what you are trying to tell it in a human-like manner, making it useful for generating realistic dialogue and helping with connecting text-based and visual prompts.

Accessibility:

While the strengths of the AI models play a pivotal role, the accessibility of these models to the general public is important to note for potential use cases.

GPT-4 is currently under a paywall, meaning that to access it, you need to pay a fee of $20 per month for access. There's also an additional cost for the uses of API calls to GPT-4 if you need to build applications with it.

Google Gemini's power is integrated into Google Bard, which is widely accessible for anyone with a Google account. Additionally, you can also join Google's AI Test Kitchen, where you would have access to more of Google's AI prowess. 

That being said, Google Gemini is more widely available and accessible than GPT-4 as of now. 

The Future of AI:

GPT-4's mastery of text and reasoning would be well suited to pioneer advancements in the areas of education, customer service, and scientific research.

Gemini's multimodal prowess opens doors to revolutionary applications in areas like robotics, creative content generation, and cross-modal communication.

As these models evolve, the debate will shift from "Which model is better?" to "How can we leverage the unique strengths of these AI models to help build a more intelligent and sustainable future?" Ultimately, the success of GPT-4, Gemini, and the AI models to come does not lie in their individual strengths and weaknesses, but rather, their collective contribution to society.

This blog is merely a starting point. As we continue to explore these models' capabilities and implications, the true potential of AI will show, shaping the course of AI for years to come.