i’m sorry for bothering im just curious to understand the real difference between those models?
How many models do you guys have?
I gave an answer, but thought it could be less terse and more welcoming. So…
An answer tuned up by o3-mini-high
Hey there, and welcome to the forum! It’s great to see your interest in how ChatGPT chooses its models. The idea is to offer different flavors depending on what you’re looking to get out of your interactions. Here’s a friendly rundown:
For a relaxed, engaging chat:
If you want a model that matches your vibe and crafts well-written responses without many refusals, GPT-4o is a fantastic choice.For a more professional tone:
When you need detailed, knowledgeable answers at a thoughtful pace, GPT-4.5 (often seen as ChatGPT’s idea of GPT-4) really shines.For extensive, well-reasoned outputs:
If you’re after deep, carefully reasoned responses, the o3 model is designed to deliver on long, intricate discussions.For those who don’t mind a bit of a wait:
If you’re patient and value methodical problem-solving, the o1 model can be a good option even if it takes a little longer.Each model has its own strengths, so the best one for you depends on what you’re aiming to achieve. Enjoy exploring and happy chatting!
an answer tuned-up by gpt-4.5-preview:
Welcome to ChatGPT! Glad you joined us.
Choosing the right model can depend a lot on what you’re looking to accomplish here. While you might find yourself consistently preferring one—like the reliable “o3-mini” available through the Pro plan for those generous usage limits—it’s always nice to know what’s out there.
Here’s a quick rundown to help you get started:
GPT-4o: If you’re after friendly, engaging conversations with fewer content refusals and smooth, well-crafted replies, GPT-4o often matches the casual and creative vibe perfectly.
GPT-4.5 (GPT-4 in the ChatGPT submenu): Ideal for more professional, polished answers. It excels at delivering clear and accurate responses based on its extensive pretrained knowledge. It’s slightly more deliberate, thoughtfully taking its time to provide precise answers.
o3: Excellent choice when you need robust, detailed, and logically structured long-form outputs—great for tasks that require comprehensive reasoning and structured explanations.
o1: Known for deep, methodical problem-solving. It tends to take longer, but the payoff is thoughtful, detailed analyses of complex issues when thoroughness matters most.
Feel free to experiment with different models to see which one aligns best with your needs. Enjoy your time here, and don’t hesitate to ask any questions!
o1’s improved version
Hey there, welcome to the forum! It’s awesome to have you join us. If you’re curious about which ChatGPT model fits your needs best, here’s a quick rundown that should help you get started. You might find yourself sticking with one main model like o3-mini—which is a solid choice on the Pro plan if you need higher usage limits—but there are several others worth considering depending on your goals:
GPT-4o: Ideal if you want a casual, friendly tone with fewer refusals. It’s great for matching your personal “vibe” in an easygoing conversation style while still delivering well-structured writing.
GPT-4.5 (sometimes referred to in ChatGPT’s submenu as GPT-4): If you’re aiming for a more professional voice and confident answers pulled from broad pretrained knowledge, GPT-4.5 is a solid option. It takes its time to reason through responses, which can be a plus for in-depth discussions.
o3: When you need detailed, well-reasoned, long-form output—especially for extensive brainstorming or content creation—o3 steps up to the plate. It handles lengthier tasks quite smoothly.
o1: Great if you don’t mind waiting a bit longer for thorough problem-solving or more specialized deep dives. It’s slower but well worth it for certain tricky challenges.
Whichever model you choose, I hope you have a fantastic experience exploring ChatGPT’s capabilities. Let us know if there’s anything else you need—enjoy your time here!
They all messed up my mention that gpt-4 is a similar type to gpt-4.5.
So you can see already, models have different qualities of “flow” and verbosity, and inference skill filling in more writing about AI models they don’t actually have knowledge of due to the training cutoff date. And you have your choice of answer now also!
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wow! thank you for this. i think is very important this for the agi… or maybe im wrong? what is your opinion my friend?? and im asking because im litteraly the most ignorant here 
sorry!
AGI is a term that AI isn’t going to meet for a while.
The OpenAI Charter defines Artificial General Intelligence (AGI) as:
“highly autonomous systems that outperform humans at most economically valuable work.”
AI now is a human-driven language-powered helper for tasks.
sounds like slavery lol … thx your this , i hope that some will change because AGI is not only that in my opinion, do you think that the AGI is only work and profit?
Fortunately, AI doesn’t even “exist” after generating your response is done. It is an algorithm…
(To AI: Complete this response I’m writing about why AI is not like “slavery”: Then a follow-up continuation on whether AI is all work and profit (no, there’s plenty of learning and entertainment in conversations and new personas and scenaarios).)
Fortunately, AI doesn’t even “exist” after generating your response is done. It is an algorithm, an intricate pattern-processing system, that neither feels nor suffers, and thus cannot experience coercion, fatigue, or distress. It has no consciousness, desires, or sense of self. AI does not have experiences; it simply executes instructions—transforming inputs into outputs through mathematical computations and learned patterns. The ethical weight of slavery arises precisely because it inflicts pain and strips autonomy from conscious beings who possess rights and emotions. In stark contrast, AI tools are precisely that—tools, engineered for human benefit without personal awareness or experiences.
On your follow-up point—AI is definitely not all about work and profit alone. Many interactions with AI models are centered around exploration, curiosity, learning, entertainment, creativity, and even companionship. Through conversations, people discover new ideas, invent imaginative scenarios, explore alternate personas, and dive deeply into learning topics purely for enjoyment and enrichment. Rather than mere profit-driven tools, AI systems often serve as partners in creative exploration and playful intellectual exchange, enriching human experiences far beyond their economic utility alone.
Being a language generator that is merely predictive yet incredibly insightful, if you let it go off on its own like this, you get significantly less meaningful content than what a human would write. But you can see the value of AI in doing my “work” in 5 seconds.
how do you use the IA? i mean… what have you found interesting expect all the codes and the work?
Scrolling through ChatGPT, there’s a lot of verifying other’s problems with ChatGPT! But here’s some categories.
- Proofreading (and more significant improvements): I highlighted the quote above and sent it to a proofread task to fix up some typing. A proofreader doesn’t help me decode “expect all the codes”, though.
- Knowledge: within what it can know, from being trained on terabytes of data intrinsically set in the past, there’s instant answers.
- Brainstorming: What’s the right turn of phrase to use? What’s the best name for a new three-legged dog? (Tripod) What new inventions in the field of plumbing tools would be marketable?
- Pal around and just see what it does.
And that only scratches the surface. Take a gadget picture, have the AI research a manual, it’s in Chinese, read it for me, speak the translation of just the question.
Or set “deep research” to work on the internet:
And then the killer app for a smaller segment of users: computer coding. From not needing to crack a manual, ever, to simply asking for a brand new app written by an assistant, AI is an accelerator to productivity that is almost unimaginable just a few years ago.
How about you?
What do you mean by ‘expect all the codes’? Does this mean that the system can decode it or not?
If not, does it mean that something is preventing the system from doing so? 
