At this point I think the ultimate benchmark for any new LLM is whether or not it can come up with a coherent naming scheme for itself. Call it “self awareness.”
3,3.5,4,4o,4.5
I had my money on 4oz
GPT-4.5
71–80 of 1001 posts
Re: GPT-4.5
#72GPT 4.5 pricing is insane: Price Input: $75.00 / 1M tokens Cached input: $37.50 / 1M tokens Output: $150.00 / 1M tokens GPT 4o pricing for comparison: Price Input: $2.50 / 1M tokens Cached input: $1.25 / 1M tokens Output: $10.00 / 1M tokens It sounds like it's so expensive and the difference in usefulness is so lacking(?) they're not even gonna keep serving it in the API for long: > GPT‑4.5 is a very large and comput…
I suppose this was their final hurrah after two failed attempts at training GPT-5 with the traditional pre-training paradigm. Just confirms reasoning models are the only way forward.
I think this is the correct take. There are other axes to scale on AND I expect we'll see smaller and smaller models approach this level of pre-trained performance. But I believe massive pre-training gains have hit clearly diminished returns (until I see evidence otherwise).
Re: GPT-4.5
#73It is interesting that they are focusing a large part of this release on the model having a higher "EQ" (Emotional Quotient). We're far from the days of "this is not a person, we do not want to make it addictive" and getting a firm foot on the territory of "here's your new AI friend". This is very visible in the example comparing 4o with 4.5 when the user is complaining about failing a test, where 4o's response is wh…
I would like to see a humor test. So far, I have not seen any model response that has made me laugh.
Re: GPT-4.5
#74At this point I think the ultimate benchmark for any new LLM is whether or not it can come up with a coherent naming scheme for itself. Call it “self awareness.”
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Re: GPT-4.5
#75Sounds like it's a distill of O1? After R1, I don't care that much about non-reasoning models anymore. They don't even seem excited about it on the livestream. I want tiny, fast and cheap non-reasoning models I can use in APIs and I want ultra smart reasoning models that I can query a few times a day as an end user (I don't mind if it takes a few minutes while I refill a coffee). Oh, and I want that advanced voice mo…
Probably not a distill of o1, since o1 is a reasoning model and GPT4.5 is not. Also, OpenAI has been claiming that this is a very large model (and it's 2.5x more expensive than even OG GPT-4) so we can assume it's the biggest model they've trained so far. They'll probably distill this one into GPT-4.5-mini or such, and have something faster and cheaper available soon.
There are plenty of distills of reasoning models now, and they said in they livestream they used training data from "smaller models" - which is probably every model ever considering how expensive this one is.
Re: GPT-4.5
#76GPT 4.5 pricing is insane: Price Input: $75.00 / 1M tokens Cached input: $37.50 / 1M tokens Output: $150.00 / 1M tokens GPT 4o pricing for comparison: Price Input: $2.50 / 1M tokens Cached input: $1.25 / 1M tokens Output: $10.00 / 1M tokens It sounds like it's so expensive and the difference in usefulness is so lacking(?) they're not even gonna keep serving it in the API for long: > GPT‑4.5 is a very large and comput…
Looks like more signal that the scaling "law" is indeed faltering.
Re: GPT-4.5
#77The GPT-1 response to the example prompt "What was the first language?" got a chuckle out of me
Re: GPT-4.5
#78> Because of this, we’re evaluating whether to continue serving it in the API long-term as we balance supporting current capabilities with building future models. Seems like it's not going to be deployed for long. $75.00 / 1M tokens for input $150.00 / 1M tokens for output That's crazy prices.
Until GPT-4.5, GPT-4 32K was certainly the most heavy model available at OpenAI. I can imagine the dilemma between to keep it running or stop it to free GPU for training new models. This time, OpenAI was clear whether to continue serving it in the API long-term.
Re: GPT-4.5
#79GPT 4.5 pricing is insane: Price Input: $75.00 / 1M tokens Cached input: $37.50 / 1M tokens Output: $150.00 / 1M tokens GPT 4o pricing for comparison: Price Input: $2.50 / 1M tokens Cached input: $1.25 / 1M tokens Output: $10.00 / 1M tokens It sounds like it's so expensive and the difference in usefulness is so lacking(?) they're not even gonna keep serving it in the API for long: > GPT‑4.5 is a very large and comput…
AI as it stands in 2025 is an amazing technology, but it is not a product at all.
As a result, OpenAI simply does not have a business model, even if they are trying to convince the world that they do.
My bet is that they're currently burning through other people's capital at an amazing rate, but that they are light-years from profitability
They are also being chased by fierce competition and OpenSource which is very close behind. There simply is no moat.
It will not end well for investors who sunk money in these large AI startups (unless of course they manage to find a Softbank-style mark to sell the whole thing to), but everyone will benefit from the progress AI will have made during the bubble.
So, in the end, OpenAI will have, albeit very unwillingly, fulfilled their original charter of improving humanity's lot.