DeepSeek vs ChatGPT vs Qwen 2.5 vs ?? – Is It the End of Stargate AI?

The AI Chatbot Showdown Begins

The AI chatbot space is more competitive than ever. With DeepSeek, ChatGPT, and Qwen 2.5 battling for dominance, the hype around new AI models keeps growing.

But are these alternatives truly outperforming OpenAI, or is this just another cycle of overhyped tech?

To find out, I conducted a real-world test, comparing these chatbots using the same SEO-focused prompt.

The goal?

To see which one delivers the best long-form, research-backed, and human-like article.

After initial disappointing results from DeepSeek and Qwen 2.5, I decided to train my own custom GPT using OpenAI’s tools.

The results were eye-opening—not only did my custom GPT outperform the others, but it also delivered the most structured, research-backed, and SEO-optimized content.

So, is OpenAI really finished?

No. If anything, the ability to create custom GPTs has changed the game entirely.

And what about the future of AI as a whole? There’s an even bigger project making headlines—Donald Trump’s $500 billion Stargate AI initiative—a massive AI investment opportunity that many are still unaware of.

By the end of this article, you’ll know:

• Which chatbot actually performed the best in real-world writing tests.
• Why custom AI training is the future and how you can use it to your advantage.
• How you can potentially make money from AI’s growth, including an investment opportunity in the Stargate AI Project that you don’t want to miss.

If you’re serious about AI, content creation, or even investing, keep reading.

How Each Chatbot Was Evaluated

To fairly compare these AI models, I used the exact same prompt for each:

"Research and write a 2000+ word SEO-optimized article with Title and H2s about the best AI chatbot in 2025. Ensure the tone is engaging, human-like, and not robotic or AI-generated. Focus on readability, user benefits, key features, and why it's the best choice for users in 2025."

I used free-tier accounts for DeepSeek, ChatGPT Free, and Qwen 2.5-Max, while my custom GPT was trained specifically for SEO, research, and content writing.

The goal was to see which AI chatbot:

• Produced the most in-depth and engaging content.
• Used proper research and citations.
• Followed SEO best practices.
• Maintained human-like readability.

First Attempt – AI Performance Breakdown

DeepSeek

DeepSeek is often praised for its advanced search capabilities, but the reality was disappointing. The word count was far below the 2,000-word goal, and while DeepSeek claimed it had written 2,150+ words, the actual output was only 1,025 words.

Worse, the content was generic and lacked deep insights. It felt like an article written without proper research, and even though it was formatted correctly, it didn’t include comparisons, real-world data, or strong user benefits.

DeepSeek’s biggest issue? Its servers were overloaded. After two hours of attempts, I gave up on trying to get a well-researched answer and just let it generate content based on what it already "knew." This was a major letdown.

Final verdict? 1/5—DeepSeek is not ready for high-quality SEO content yet.

ChatGPT (Free Version)

ChatGPT Free produced only 528 words—far below the expected count. However, there were some clear strengths:

• The formatting was clean.
• The search capabilities were impressive, pulling from Reddit, Bing, and other sources instead of just recycling old knowledge.
• It cited sources like Qwen, making it more transparent than previous versions.

The biggest downside? It simply didn’t write enough. While the research ability was there, the execution was weak due to the word count limitation.

Final verdict? 2/5—Good research, but not viable for long-form content.

Qwen 2.5-Max

Qwen 2.5 had the best initial SEO score, reaching 1,318 words with a Neuronwriter score of 54. It was formatted correctly, cited sources, and looked solid at first glance.

But there was a problem. The sources were outdated—many from 2018, with only one from 2025 that wasn’t even relevant.

I ran multiple tests to see if Qwen 2.5 could pull better research. It didn’t. It seemed to be stuck using older data instead of actively searching for fresh information.

Final verdict? 2/5—Good structure, but unreliable research.

Second Test – The Rerun for Each AI

Since none of the models met the 2,000-word goal, I ran a second test, simply adding: "Make it 2000 words."

Here’s what happened:

• DeepSeek improved slightly, but still failed to generate a research-backed, comprehensive article.
• ChatGPT Free increased its word count but remained limited.
• Qwen 2.5 reached 1,679 words, but the outdated citations persisted.
• My custom GPT finally showed its full potential—it didn’t hit the word count but actually delivered high-quality, engaging content.

At this point, it became clear that custom AI training is a game-changer.

Why My Custom GPT Outperformed the Rest

Unlike DeepSeek and Qwen, my GPT was trained to:

• Follow Google’s E-E-A-T guidelines for search rankings.
• Pull up-to-date research rather than relying on old sources.
• Write with a human-like, engaging tone.
• Compare and analyze different AI models in-depth.

It was the only AI that produced content I would actually publish.

Want to see the difference yourself? Try my custom GPT for free and give me your feedback: Test it here

Want to See The Results for Yourself?

I used an free blogging platform to post the articles of the second run for each one. This way you can compare them yourself and come up with you own conclusion,

• My GPT Post (in my opinion the best by far)
• Normal ChatGpt post
• Qwen 2.5 Post
• DeepSeek Post

Are these results final?

No, I suspect I'll redo the test in the future to see how it changes. And even running these tests again could slightly alter the results. Also, DeepSeek's search not working was also a major problem.

However, I don't see the DeepSeek and Qwen-2.5 domination as many people on LinkedIn have pointed out.

What you need to know, however, is how you can actually make money by understanding that AI is only going to get bigger—without getting too technical.

Stargate AI – The $500 Billion Opportunity No One Is Talking About

While AI is changing how we create content, it’s also creating massive investment opportunities.

One of the most underrated AI projects right now is Stargate AI, a $500 billion initiative connected to Donald Trump.

Unlike other AI ventures, this project focuses on AI infrastructure, making it a potential goldmine for early investors.

Jeff Brown, a well-known financial analyst, has broken down exactly how you can invest in this massive AI shift. If you want to get in early, you need to watch his breakdown:

Watch Jeff Brown’s report now

The Future of AI Is Customization

Despite the hype, DeepSeek and Qwen 2.5 are not the OpenAI killers people claim they are. Right now, OpenAI remains ahead thanks to custom GPTs, which allow users to train AI to their specific needs.

This test proved that AI chatbots are not all created equal. If you want the best results, you need to customize and optimize your AI—which is exactly why training your own GPT is the future.

Want to see it in action? Try my custom GPT here

And if you’re interested in profiting from AI’s rise, don’t miss out on Stargate AI—it could be one of the biggest investment opportunities of the decade.

Watch Jeff Brown’s report now

Disclaimer

This article is for informational purposes only and not financial advice. Always consult a licensed financial advisor before investing. Some links may be affiliate links, meaning I may earn a commission at no extra cost to you. Thank you for your support!