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Latest from TechRadar in Chatgpt

OpenAI replaced GPT-4o, but some users still refuse to let it die — now they’re celebrating its ‘birthday’ in Times Square with a video billboard ‘He needed to have total control over it’ — Altman testifies Musk never trusted shared leadership… I tried a viral 'backwards calendar' ChatGPT prompt — and it completely changed how I plan my week OpenAI snaps up consulting company to help spread the word about AI I asked ChatGPT and Gemini how to make French Toast as good as my mother used to make — one nailed the… OpenAI's ‘Trusted Contact’ feature for ChatGPT users in crisis is a sign AI is becoming something much… ChatGPT now lets you nominate a Trusted Contact who gets alerted if your interaction with AI 'indicates a serious… OpenAI has 3 new AI voice models that the ChatGPT maker says will ‘unlock a new class of voice apps for… AI may kill the app grid, but I still think complex tasks need apps — and that I asked ChatGPT to ruin my photos with ugly 90s-style MS Paint art — and the results are weirdly brilliant Google is bringing Gemini to Mac in a bid to help organize your files and much more ChatGPT just gave me a glimpse of my life in three years ChatGPT just got a major personality overhaul — fewer hallucinations, fewer emojis, much shorter answers, and I can already notice the difference ‘Without me, OpenAI wouldn’t exist,’ says Elon Musk as courtroom clash with Sam Altman turns personal — and exposes a deeper fight over who really built the company behind ChatGPT Sam Altman says some companies are ‘AI washing’ by blaming unrelated layoffs on the technology — but… I used ChatGPT Images 2.0 to meet my childhood self — and this nostalgic photo prompt is going viral for a reason ‘The worst-case situation is where it is a Terminator situation’ — Elon Musk invokes killer robots in… Gen Z hate AI? The Musk vs Altman trial heats up, OpenAI phone rumors buzz and more of the week’s most surprising… OpenAI is making ChatGPT accounts much more secure – including some literal physical security keys I asked ChatGPT to reimagine The Devil Wears Prada 2 ending based on the shocking Runway magazine AI twist in the sequel — and the results aren't as dreadful as you'd think Everyone’s switching from ChatGPT to Claude — but new tests say neither is the smartest free AI, and the… ChatGPT just made it easier to pick the right model, just like Gemini does — here’s when to use Instant,… I noticed ChatGPT slowly drifting off topic in long chats — this tiny prompt forces it to reset itself every few messages and keeps the conversation surprisingly on track Sam Altman just dropped a big hint that GPT-6 is coming soon — ‘with extra goblins’ 'I won’t provide instructions, tactics, or advice that could help someone commit a crime': ChatGPT claims it won't assist would-be felons, despite claims to the contrary from Florida AG ChatGPT just announced it can finally pass the simple ‘how many “r”s in strawberry’ test, but users are still tripping it up by switching to ‘cranberry’ Musk vs Altman heads to trial in a battle that could reshape the future of AI for everyone I swapped my iPhone for a pair of Ray-Ban Meta (2nd gen) on vacation, and I felt liberated — but these smart glasses have a way to go yet I stopped asking AI for answers and started asking for frameworks — and suddenly it all clicked Would you buy a ChatGPT-powered iPhone rival? OpenAI is reportedly developing a smartphone chip, which teases the…
ChatGPT might not be using the model you think — and it’s...
Eric Hal Schwartz · 2026-03-20 · via Latest from TechRadar in Chatgpt
ChatGPT
(Image credit: Getty Images)

  • ChatGPT now uses a simplified model picker that can automatically switch between different AI models
  • Users may not realize that different prompts can trigger different underlying models
  • Additional models and controls are hidden in settings that most never access

Don't worry, you haven't gone crazy, ChatGPT's model picker (at the top of the screen) is looking a little cleaner this week, with fewer model names cluttering up the interface.

Forget model names like 5.4, 4o and o3, that's a thing of the past! ChatGPT Plus subscribers will now see just three choices, labeled Instant, Thinking, and Pro. However, the suggestion of transparency over complexity isn't quite what it seems.

The update changes the nature of ChatGPT options from a choice of models to more of a broad style request. The actual model used in an answer will more often be decided by ChatGPT based on your prompt complexity and other settings.

Those factors will affect whether ChatGPT's answers are from a faster, more lightweight model or a more powerful, power-hungry LLM. You might not even be told which one handled your request in the result.

It puts control of ChatGPT a step beyond the user. Selecting a ChatGPT model used to mean just that. Now, selecting any of the three modes might correspond to any of ChatGPT's stable of models, depending on other elements.

You might get answers almost instantly in short, conversational form. Or there might be a pause and a longer, more structured answer. That difference is not just tone. It reflects how much computational effort the system has decided to spend.

Model switching

The change isn't random; it helps OpenAI solve a real problem. Though powerful, the most advanced AI models are also slower and more expensive to run. Using them for every single request would make your experience of using ChatGPT sluggish and costly.

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OpenAI can deliver something that feels both fast and capable by mixing up the models.

On the other hand, it makes for less predictable results. Two people using ChatGPT at the same time may not be using the same underlying system, even if their screens look identical.

One person might be routed to a lighter model, another to a heavier one, based on subtle differences in their prompts or usage patterns. The result is an experience that can vary in ways that are hard to explain from the outside.

You might not even know about all of the models available within ChatGPT anymore. They've been hidden in the configure menu, tucked away in settings that most people never open.

That's where the legacy models can still be accessed and where automatic switching can be turned off. You can even adjust how much effort the system applies when reasoning.

ChatGPT logo on a smartphone.

(Image credit: Getty Images/SPOA Images)

Take back control

For casual users, this probably does not matter much. The experience feels smoother. You type something, you get an answer, and it generally works. The system takes care of the details.

For more attentive users, the change might feel slightly disorienting. If ChatGPT suddenly seems less detailed or more hesitant, it might be that it switched to a different model without telling you. In some cases, usage limits can trigger this kind of shift, quietly downgrading the level of reasoning applied to your prompts.

That creates a small but noticeable gap between expectation and reality. Many people assume they are interacting with a single, consistent intelligence. In truth, they are interacting with a flexible system that constantly adjusts itself.

This approach works because it removes friction. Most people do not want to manage settings or learn the nuances of different models. They want results. But when you no longer choose the model directly, you also give up some influence over how your answer is generated. That's not relevant for everyday questions, but it can matter when precision or depth becomes important.

If you want to ensure the model you're using then click on the model selector menu then look in the Configure setting. Inside there you'll see a Model selector.

The next phase of AI may not be about choosing the smartest model. It may be about understanding when and why the system is choosing for you. And if you want to take back control, the answer is sitting in a settings menu that most people never open.


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Eric Hal Schwartz is a freelance writer for TechRadar with more than 15 years of experience covering the intersection of the world and technology. For the last five years, he served as head writer for Voicebot.ai and was on the leading edge of reporting on generative AI and large language models. He's since become an expert on the products of generative AI models, such as OpenAI’s ChatGPT, Anthropic’s Claude, Google Gemini, and every other synthetic media tool. His experience runs the gamut of media, including print, digital, broadcast, and live events. Now, he's continuing to tell the stories people want and need to hear about the rapidly evolving AI space and its impact on their lives. Eric is based in New York City.