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GPT-4.5

openai.com

241–250 of 1001 posts

Re: GPT-4.5

#241

This seems very rushed because of DeepSeek's R1 and Anthropic's Claude 3.7 Sonnet. Pretty underwhelming, they didn't even show programming? In the livestream, they struggled to come up with reasons why I should prefer GPT-4.5 over GPT-4o or o1.

This strikes me as the opposite of rushed. I get the impression that they've been sitting on this for a while and couldn't make it look as good as previous improvements. At some point they had to say, "welp here it is, now we can check that box and move on."

Re: GPT-4.5

#242
post #26

GPT 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…

The price really is eye watering. At a glance, my first impression is this is something like Llama 3.1 405B, where the primary value may be realized in generating high quality synthetic data for training rather than direct use. I keep a little google spreadsheet with some charts to help visualize the landscape at a glance in terms of capability/price/throughput, bringing in the various index scores as they become ava…

That is an amazing resource. Thanks for sharing!

Re: GPT-4.5

#243
post #26

GPT 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…

https://podcasts.apple.com/us/podcast/better-offline/id17305...

Re: GPT-4.5

#244
Anyone really finding ai useful for coding?

I'm finding it to make things up, get things wrong, ignore things I ask.

Def not worried about losing my job to it.

Re: GPT-4.5

#245

Seeing OpenAI and Anthropic go different routes here is interesting. It is worth moving past the initial knee jerk reaction of this model being unimpressive and some of the comments about "they spent a massive amount of money and had to ship something for it..." * Anthropic appears to be making a bet that a single paradigm (reasoning) can create a model which is excellent for all use cases. * OpenAI seems to be betti…

Or the other way around: smaller reasoning models that can call out to GPT-4.5 to get their facts right.

Re: GPT-4.5

#246

Anyone really finding ai useful for coding? I'm finding it to make things up, get things wrong, ignore things I ask. Def not worried about losing my job to it.

It gets confused if I give it 3 files - how is it going to scan a whole codebase and disparate systems and make correct changes.

Pah! Don't believe the hype.

Re: GPT-4.5

#247

Earlier quoted context omitted.

Input price difference: 4.5 is 30x more Output price difference:4.5 is 15x more In their model evaluation scores in the appendix, 4.5 is, on average, 26% better. I don't understand the value here.

Einstein's IQ = 3.5x chimpanzees IQs, right?

3.5x on a normal distribution with mean 100 and SD 15 is pretty insane. But I agree with your point, being 26% better at a certain benchmark could be a tiny difference, or an incredible improvement (imagine the hardest questions being Riemann hypothesis, P != NP, etc).

Re: GPT-4.5

#248

My 2 cents (disclaimer: I am talking out of my ass) here is why GPTs actually suck at fluid knowledge retrievel (which is kinda their main usecase, with them being used as knowledge engines) - they've mentioned that if you train it on 'Tom Cruise was born July 3, 1962', it won't be able to answer the question "Who was born on July 3, 1962", if you don't feed it this piece of information. It can't really internally co…

Perhaps you could use LLMs in a list ranking context to generate your scifi recommendations https://github.com/noperator/raink?tab=readme-ov-file

Re: GPT-4.5

#249
post #26

GPT 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…

The price really is eye watering. At a glance, my first impression is this is something like Llama 3.1 405B, where the primary value may be realized in generating high quality synthetic data for training rather than direct use. I keep a little google spreadsheet with some charts to help visualize the landscape at a glance in terms of capability/price/throughput, bringing in the various index scores as they become ava…

Nice, thank you for that (upvoted in appreciation). Regarding the absence of o1-Pro from the analysis, is that just because there isn't enough public information available?

Re: GPT-4.5

#250

GPT-4.5 Preview scored 45% on aider's polyglot coding benchmark [0]. OpenAI describes it as "good at creative tasks" [1], so perhaps it is not primarily intended for coding. 65% Sonnet 3.7, 32k think tokens (SOTA) 60% Sonnet 3.7, no thinking 48% DeepSeek V3 45% GPT 4.5 Preview [0] https://aider.chat/docs/leaderboards/ [1] https://platform.openai.com/docs/models#gpt-4-5

I was waiting for your comment and wow... that's bad.

I guess they are ceding the LLMs for coding market to Anthropic? I remember seeing an industry report somewhere and it claimed software development is the largest user of LLMs, so it seems weird to give up in this area.

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