Artificial Intelligence, or AI, has come a long way from basic rule-based systems to powerful reasoning, creativity and contextual understanding models. And Americans share a mix of feelings about the use of AI.
A survey conducted by IPSOS revealed, “ The percentage of people who think that AI will change their lives in upcoming years has risen from the mark of 60% to 66% in the US.” The data infuses scientists creating advanced AI models with optimism.
Ideally, at the leading pillars of this AI-driven change, three tools strike up the mind. These are ChatGPT, Gemini and Claude. These tools are extensively used by developers, writers, content creators, graphic designers, small or big businesses, and so on. Let’s take a quick round at these models:-
From business automation to medical research and creative industries, these models drive innovation and transform human-machine collaboration. Understanding their strengths is key to leveraging their full potential. So, let’s decode the tussle of ChatGPT vs Gemini vs Claude one by one on their free versions-
After reading the introductory part, you must want to know details about the origin and evolution of these three AI-powered tools. Firstly, we’ll give you a theoretical context of their origin and further developments. Then, to cross-check the facts, we’ll ask the same question from these tools:-
Note:- We’ll try this on the free version of ChatGPT, Gemini and Claude. So, if you’re using paid versions then results might differ.
OpenAI develops ChatGPT. It’s based on the GPT (Generative Pre-trained Transformer) architectural model, which was first introduced with GPT-1 in 2018. Since then, OpenAI has developed multiple versions like GPT-3, GPT-3.5 & GPT-4 with continuous improvements in contextual understanding, reasoning and human-like responses.
Various industries widely accept this tool for customer support, content creation, programming assistance and educational purposes.
Now, let’s cross-check this theoretical information by using the tool ChatGPT. Look I’m giving a short prompt “ Kindly give me information about your origin and development”
Google DeepMind develops Gemini ( formerly known as Bard). Originally, Google had two AI research teams–Google Brain and DeepMind. In 2023, they merged under the DeepMind brand to create more advanced AI models.
This tool was built to integrate advanced multimodal capabilities. So, it can process text, images and other inputs simultaneously. Initially, Gemini 1 was introduced in December 2023, with later and advanced versions coming on.
Gemini is used for search enhancements, Google Assistant, AI-powered research and business applications.
Again, we’ll repeat the practice as followed in the case of ChatGPT. We’ll give the same prompt to Gemini. Let’s see what it holds for us:-
Anthropic develops Claude. Entropic was founded by former OpenAI employees, including Dario Amodeil and Daniela Amodei, who aimed to create a safer and more interpretable AI system.
This model is designed to be constitutional, meaning it follows ethical AI principles embedded in its training. Claude is a go-to-option for enterprise AI solutions, research and responsible AI development.
Again we’ll follow the same pattern. Let’s put the same prompt in Claude:-
The fight between ChatGPT vs Gemini vs Claude sheds light on different design & philosophies. So, these AI-driven tools are suitable for you as per the needs.
Also Read: DeepSeek vs ChatGPT vs Gemini: Which AI Best Fits Your Needs?
We’ll test the core functionalities of ChatGPT, Gemini and Claude through real-time testing. I’m giving up the same prompts in use cases of content creation, coding assistance and general inquiries.
Let’s test them one by one. First, log in to your ChatGPT and follow the below-mentioned instructions:-
Now, you can analyze the content as per your goal. You can also optimize it by integrating some primary or secondary keywords.
Now, we’ll follow the same practice with Gemini:-
Finally, now you come with Claude:-
After creating content on a similar topic, you can now test the content using Yoast Real-Time Content Analysis.
# Let’s start with ChatGPT’s content. I’m putting it on the tool for further analysis:-
Now, the analysis part:-
In the second part, now put Gemini’s content in this tool and look the analysis:-
Lastly, we’ll perform this same practice for Claude:-
Now, you can see I have not given any specific information to these tools regarding the content customization ( Keyword usage, subheading distribution and obviously the word count). But all of them have given great results in the content assessment report card of Yoast Real Time Content Analysis.
Also Read: Gemini vs. ChatGPT: A Deep Dive into AI Capabilities
The second comparative analysis is on code generation. We’ll give a similar prompt in all these tools and check the generated code in an authentic code checker. So, let’s start:-
Now, you can run these above-mentioned codes on testing tools like PythonTutor, Pylint, DeepScan, Codacy to check their accuracy.
In this state of comparison, we’ll ask a simple question from ChatGPT, Gemini and Claude. Then, we’ll cross-verify the answer by researching on search engines.
In round 2, we’ll ask an explanatory common question from all three tools and analyze the differences in their answers. The questions may be related to data muggling, reason-based applications, theoretical predictions, etc.
First take the round 1:-
Now, you can see the answer to all three tools is the same: “ Doug McMilion,” of course, it’s the correct answer. But we can see one thing is common: all these three tools give you a warning to cross-verify the current search engines. So, let’s do at once:-
We have searched on the official site of Walmart and found the answer 100% correct:-
Let’s jump on the second round:
I will ask a simple, short explanatory question from these three tools, and you can check the results:-
Now, one thing is common from all these three results: no tool gives an exact number or data-driven predictions relating to the question. On the other hand, they’re also telling us to cross-verify the information, as the graphic is also hypothetical.
ChatGPT is useful for newsroom integration. It has become more important for summarization, content generation, and automated reporting. This tool can help journalists to quickly draft articles, rewrite content and analyze large amounts of data.
Let’s check:-
Gemini has a strong advantage in newsroom settings due to its integration with Google Search and Google News. This means that it can easily fetch live tech updates, verify facts in real time and improve SEO optimization for articles.
Let’s check:-
Claude is designed with a focus on ethics, neutrality, and factual accuracy. While it does not fetch live updates like Gemini, it excels in long-form analysis, investigative journalism, and unbiased content creation.
Let’s check:-
When we tested all the results given by these three tools on NewsGPT, We found:-
ChatGPT, Gemini and Claude each bring unique strengths to the AI era. ChatGPT specializes in creative content generation and conversational language flow. This makes the tool ideal for engaging interactions. Gemini brings out real-time web access and deep integration with Google’s ecosystem. This makes Gemini a strong contender for ChatGPT and a good choice for research and fact-based queries.
Besides this, Claude emphasizes ethical AI and long-form content analysis. This tool ensures high accuracy and neutrality. While all three models are powerful, their effectiveness depends on specific use cases, such as whether you’re using them for content creation, real-time information retrieval, or ethical AI responses.
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Statistical Resource:
https://hai.stanford.edu/ai-index/2024-ai-index-report