(Spoiler: Nope.)
When choosing tools, we intuitively understand that the newest hammer isn’t necessarily the best tool for assembling a chair. Yet this logic often disappears when people talk about AI tools like ChatGPT. “The newest model is the best” has almost become an autopilot belief. But is it really that simple?
I use ChatGPT for all kinds of tasks, and I notice distinct differences between the models. GPT-4.5, GPT-4o, GPT-o4-mini, GPT-o4-mini-high, and GPT-o3 all have their strengths and weaknesses – and each works best for different types of tasks.
Here’s how I use these tools as writing partners in my daily work.
The Differences Between Models
If you’ve tested different versions of ChatGPT, you’ve probably noticed that they behave differently, think differently – and even feel different to use.
Here’s a quick summary of my personal experience:
- GPT-4.5:
Accurate, detailed, and reflective – ideal for deep analysis, complex problem solving, and advanced reasoning. On the flip side, it can feel a bit heavy or slow for simpler tasks.
GPT-4.5 was previously available as a test version, but is now automatically used when you activate “Deep Research” in ChatGPT.
- GPT-4o:
Lightning-fast, intuitive, and with a very natural, human tone. Great for quick answers or brainstorming sessions – but occasionally lacks the depth and detail of GPT-4.5.
- GPT-o4-mini:
Fast, lightweight, and resource-efficient. Perfect for quick idea generation, short summaries, or simple tasks. Not suitable for advanced reasoning or in-depth analysis.
- GPT-o4-mini-high:
A strong choice for visual tasks or coding precision. It delivers accurate responses fast – especially on technical topics.
- GPT-o3:
An older model that can still handle basic tasks or idea sketching. However, it struggles with complexity and is more error-prone.
What About All the Custom GPTs?
If you’ve explored the ChatGPT “Explore GPTs” section, you’ve probably seen the sea of specialized GPTs available. These are variations of the core models, fine-tuned with added instructions, knowledge, or specific abilities.
The idea is simple: Instead of explaining your needs to the model every time, you use a GPT that’s already tailored for that specific task. Whether you’re writing in a certain style, analyzing legal documents, coding, or creating school quizzes – there’s probably a GPT for it.
Should you use them?
- Yes, if you have a very specific task. These GPTs can save time and give you highly relevant results.
- No, if you want flexibility, creativity, or broader thinking. Some custom GPTs are a bit “locked in” to their preset instructions.
A custom GPT can be amazing for one job – but limiting if you’re exploring ideas broadly. It’s like using a specialized screwdriver: great if the screw fits, but not helpful if you suddenly need a hammer.
Curious about AI’s energy use and sustainability? Read more here.
What Happens When You Click “Deep Research”?
When you choose “Deep Research” in ChatGPT, you switch to GPT-4.5 – a model designed for more structured, reflective thinking.
- It documents its thought process along the way.
- It takes more time, because it breaks down the problem, explores different angles, and builds a more thoughtful response.
- It often includes sources to show how it arrived at its conclusion – though keep in mind: These are based on training data, not live internet searches.
Deep Research doesn’t just give you an answer – it gives you a process.
Use it when you need:
- Deeper reflection
- Better-supported answers
- Transparency into how the response was formed
That said, it’s easy to think “Deep Research” means it’s fetching fresh facts from the web – it’s not. It simply thinks harder. But only with what it already knows. If you need real-time information, you’ll still have to find and verify sources yourself.
AI Is Like Your Toolbox
No carpenter uses a chainsaw to hang a picture on the wall. In the same way, we need to learn to choose the right AI tool for the job – not just grab the latest one because it’s “new.”
AI is about matching the right use case – not the version number.
Also check out my article on why you shouldn’t blindly trust AI.
A Final Reminder
“Best” is never a one-size-fits-all answer. What works best depends entirely on your needs, the task at hand, and your expectations. Sometimes, the old tool is still the best – because it gives you exactly what you need, without noise or extra complexity.
So next time you pick an AI model, ask yourself first:
“What do I actually need?”
– before you choose the tool.
Which AI model – or interface like ChatGPT, Gemini, Microsoft Copilot, or something else – do you use the most, and why?
Feel free to share your experience in the comments! We all have something to learn from how others use AI.
