ChatGPT Vs. Gemini Vs. Claude: What Are The Differences? via @sejournal, @makhyan

3 weeks ago 4

Chatbots have changed many professionals’ workflows and processes.

SEO pros, writers, agencies, developers, and even teachers are still discussing the changes that this technology will cause in society and how we work in our day-to-day lives.

ChatGPT’s release on Nov. 30, 2022 led to a cascade of competition, including Gemini (formerly Bard) and Claude.

If you want to search for information, need help fixing bugs in your CSS, or want to create something as simple as a robots.txt file, chatbots may be able to help.

They’re also wonderful for topic ideation, allowing you to draft more interesting emails, newsletters, blog posts, and more.

But which chatbot should you use and learn to master? Which platform provides accurate, concise information?

Let’s find out.

What Is The Difference Between ChatGPT, Gemini, And Claude?

	ChatGPT	Gemini	Claude
Pricing	ChatGPT’s original version remains free to users. ChatGPT Plus is available for $20/month. Team (starts at $25/month) and Enterprise options available.	Free for the base platform and a cost of $19.99/month for the advanced tier.	Free, Pro ($20/month), Team ($25/month), and Enterprise options available.
API	Yes	Yes	Yes
Developer	OpenAI	Alphabet/Google	Anthropic
Technology	GPT-4o	Combination of models (LaMDA, PaLM 2)	Claude Opus
Information Access	Training data with a cutoff date of 2023 but the Pro version has access to real-time data.	Real-time access to the data Google collects from search.	Real-time access to data.

Wait! What Is GPT? What Is LaMDA?

ChatGPT uses GPT technology, and Gemini initially used LaMDA, meaning they’re different “under the hood.” This is why there’s some backlash against Gemini. People expect Gemini to be GPT, but that’s not the intent of the product.

Since Gemini is available on such a wide scale, it has to tune the responses to maintain its brand image and adhere to internal policies that aren’t as restrictive in ChatGPT – at the moment. However, Gemini’s foundation has evolved to include PaLM 2, making it a more versatile and powerful model.

GPT: Chat Generative Pre-Trained Transformer

GPTs are trained on tons of data using a two-phase concept called “unsupervised pre-training and then fine-tuning.”

Imagine consuming trillions of data points, and then someone comes along after you gain all of this knowledge to fine-tune it. That’s what is happening behind the scenes when you prompt ChatGPT.

ChatGPT has 1.8+ trillion parameters that it has used and learned from, including:

Articles.
Books.
Websites.
Etc.

While ChatGPT is limited in its datasets, OpenAI has announced a browser plugin that can use real-time data from websites when responding back to you. There are also other neat plugins that amplify the power of the bot.

LaMDA Stands For Language Model For Dialogue Applications

Google’s team initially chose a LaMDA model for its neural network to create a more natural way to respond to questions. The goal was to provide conversational responses to queries.

The platform is trained on conversations and human dialog, but it’s also clear that Google uses search data to provide real-time information.

Google uses an Infiniset of data, which are datasets that we don’t know much about.

Since Gemini has evolved to include PaLM 2, it may have different capabilities and training data compared to LaMDA.

Because these bots are learning from sources worldwide, they can sometimes provide false information.

Hallucinations Can Happen

Chatbots can hallucinate, but they’re also very convincing in their responses. It’s important to heed the warning of the developers.

Google tells us:

Gemini may display inaccurate info, including about people, so double-check its responses.

Screenshot from Google Gemini Screenshot from Gemini, October 2024

Claude also tells us:

Screenshot from Claude, October 2024

If you’re using chatbots for anything requiring facts and studies, crosscheck your work and verify that the facts and events actually happened.

There have been times when these hallucinations are apparent and other times when non-experts would easily be fooled by the response they receive.

Since chatbots learn from information, such as websites, they’re only as accurate as the information they receive – for now.

With all of these cautions in mind, let’s start prompting each bot to see which provides the best answers.

ChatGPT Vs. Gemini Vs. Claude: Prompt Testing And Examples

Since technical SEO is an area I am passionate about, I wanted to see what the chatbots have to say when I put the following prompt in each:

What Are The Top 3 Technical SEO Factors I Can Use To Optimize My Site?

ChatGPT’s Response

Screenshot from ChatGPT, October 2024

ChatGPT provides a coherent, well-structured response to this query. The response does touch on three important areas of optimization:

Site speed.
Crawlability and indexability.
Mobile optimization.

When prompted to provide more information on site speed, we receive a lot of great information that you can use to begin optimizing your site.

Screenshot from ChatGPT, October 2024

If you’ve ever tried to optimize your site’s speed before, you know just how important all of these factors are for improving your site speed.

ChatGPT mentions browser caching, but what about server-side caching?

When site speed is impacted by slow responses to database queries, server-side caching can store these queries and make the site much faster – beyond a browser cache.

But the details in the response are much better compared to those of April 2023, even though this time I asked it to condense the list:

Technical SEO Speed ChatGPT Screenshot from ChatGPT, April 2023

Gemini’s Response

Gemini’s responses are faster than ChatGPT, and I do like that you can view other “drafts” from Gemini if you like. I went with the first draft, which you can see below.

Screenshot from Google Gemini, October 2024 Screenshot from Gemini, October 2024

The information is solid, and I appreciate that Google uses more formatting and bold parts of the responses to make them easier to read.

It is also interesting that Gemini focuses on XML Sitemaps, instead of the overall architecture of the website.

To try and keep things similar, I asked Gemini, “Can you provide more information on page speed?”

Screenshot from Google Gemini, October 2024 Screenshot from Gemini, October 2024

You can certainly find similarities between ChatGPT’s and Gemini’s responses about optimization, but some information is a bit off. For example:

“Optimize Images: Compress and use next-gen formats (e.g., WebP).”

I could not provide a condensed list like ChatGPT did. But the list of eight to 11 suggestions (depending on the draft I looked at) was quite promising.

Browsers cache files automatically on their own, and you can certainly manipulate the cache with a Cache-Control or Expires header.

Claude’s Response

Claude Screenshots, October 2024 Screenshot from Claude, October 2024

Claude’s answers are all pretty solid, and I appreciate how it mentions several types for optimization that are a little more in-depth, such as using viewpoint meta tags.

For me, I feel like Claude provides more actionable steps than Gemini and ChatGPT. But let’s ask about speed.

Claude screenshot, October 2024 Screenshot from Claude, October 2024

Claude’s response is extensive, with a thorough understanding of key site speed metrics to follow. But, I was really impressed by the rest of the response:

Claude screenshot, October 2024 Screenshot from Claude, October 2024

What I appreciate about Claude’s response is that it explains very important concepts of optimizing site speed while also giving you an extensive list of tools to use.

Caching is briefly mentioned in Claude’s response, but when I prompted it for more about caching, it provided an extensive list of information.

Winner: Claude wins out, thanks to its extensive answers and mention of specific tools and actionable steps.