Are You Using the Wrong ChatGPT Model?

You’ve probably been using the wrong ChatGPT model.

No, not because you’re careless, but because no one told you what each model is actually good at.

When you open the dropdown, you see a blur of cryptic names like GPT-4, GPT-4.5, 4 Mini, 4 Mini High, and 3.5, and you pick one at random, hoping for the best.

But that random choice is costing you clarity, time, even money.

This week's video clears it all up.

It doesn’t just explain the differences. It shows you which model to use and when. The creator renames each model based on its strengths, turning a confusing mess into a usable toolbox.

Let’s break it down for you.

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VIDEO OF THE WEEK: Are You Using the Wrong ChatGPT Model?

Link: Watch now

Why you should care:

Knowing which model to use can be the difference between mediocre results and getting what you want. This is the kind of video that makes your next 100 prompts sharper, faster, and way more accurate.

Let’s say you're working on a newsletter. You need ideas fast, GPT-4 (nicknamed the generalist) is your go-to. It's fast, decent at everything, and perfect for quick summaries or casual creative tasks. But the moment you need citations or deeper logic? Switch lanes.

Want a thorough, cited breakdown on nuclear vs solar energy? GPT-3.5 (renamed the professor) takes the cake. It’s slower, but actually reasons through your question, fetches sources, corrects bad logic, and organizes its answer like a real researcher. When the generalist glosses over nuance, the professor double-checks facts and recalculates the math.

Need even more depth? There's the scholar. This one disappears for ten minutes, then returns with a full literature review — real links, source quotes, weighted conclusions. It’s not fast, but it is serious. Think research assistant with a caffeine addiction.

And if you’re writing marketing copy, product descriptions, or storytelling emails that hit the emotional mark, GPT-4.5, the wordsmith, is your new best friend. It doesn’t just write; it flows. It sings. Use it when tone, rhythm, and persuasion matter more than precision.

For coding? There’s the coder… GPT-4.1 - with its million-token memory via API. It handles large files, long transcripts, and detailed instructions like a senior engineer. Pair it with the intern (4.1 Mini) for faster, cheaper dev work that still gets the job done, just maybe double-check the intern’s work.

Need quick reasoning with better accuracy than GPT-4? Grab Mini 4 or its slightly smarter sibling, Mini High. They're the underrated workhorses behind many production apps.

And finally, when nothing else gets it right, when the task is mission-critical, call the Oracle (GPT-3.5 Pro). It’s slow. It’s expensive. But it’s as close as ChatGPT gets to bulletproof logic and detail.

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The big takeaway?

Don’t pick your model blindly.

Choose it like you’re picking a tool from a workshop. Use the fast one for drafts. Use the smart one for logic. Use the deep one when stakes are high.

You’ll save hours. You’ll look smarter. And your AI experience will suddenly feel like magic instead of roulette.

Now go, pick the right tool, and get real work done.

Thanks for reading!

Best,

Miroslav from The Zilahut

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• Automate anything - Make

• Video editing: Pictory,

• Short video generator: Short AI, Videotok

• Newsletters: Kit, Beehiiv

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