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Advancing the price-performance frontier with GPT‑5.6

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Re: Advancing the price-performance frontier with GPT‑5.6

#241

Post by randomblock1 »

archon1410 wrote: post #211

If Luna is so good and cheap, I'm wondering why ChatGPT Free users still only have access to GPT 5.5 Instant. The API pricing for chat-latest is the same as Sol(!),[1] while Luna is 25× cheaper [2]. Even assuming highly inflated API pricing for chat-latest, Luna not being the daily driver on Free and Go plans feels off. Perhaps users prefer instant responses over thinking models so much so that using a more expensive…

I bet they'll switch over pretty soon. They always make free users use the older models for a little bit, probably to try to push people to upgrade.

You can actually use Luna without reasoning (set it to "none"). So if they wanted to, they could definitely replace 5.5 Instant with it.

Re: Advancing the price-performance frontier with GPT‑5.6

#242

Post by fy20 »

pixelesque wrote: post #79
maxdo wrote: post #48

Earlier quoted context omitted.

is kimi that cheap? it's a very expensive model

It's cheaper currently on many of the inference providers. Personally, I'm having surprisingly good results with DeepSeek 4 Pro at home, which is very good value for money: it's not as good as Claude / GPT 5.6 (I have Co-pilot license at work), but it's still really useful for code reviews, validating thoughts, and especially designing / writing unit tests for new (and old before refactoring) functionality. And it's…

DeepSeek V4 Pro is ridiculously priced, especially when you take into account caching. According to the DeepSeek usage panel, 50M tokens have cost me $1.38. It's not the smartest and does like to overthink, but if you have well defined problems it's good for coding. Well... except all your data going to China. I just use it for personal projects.

Re: Advancing the price-performance frontier with GPT‑5.6

#243

Post by magicalist »

NitpickLawyer wrote: post #17
simonw wrote: post #3

> The kernel work helped reduce the end-to-end cost of serving the model by 20%, while its experiments increased token-generation efficiency by more than 15%. If the cost of serving GPT-5.6 just dropped by 20%, does that add up to literally billions of dollars in savings per month? We know Anthropic spend $1.25 billion renting inference capacity from SpaceX (in two Colossus datacenters) from the SpaceX IPO, but we do…

~2 years ago gemini2.5 helped write better kernes for itself and (only) reached 1% efficiency gains. Today we're at 20%.

If you optimize program A and manage to wring out a 1% improvement, and I optimize program B and improve performance by 20%, you can see the problem with trying to infer anything from those two numbers.

Edit: searching for the story now, further bolstering the point is that was 1% in training time [1], and the openAI claim is 20% in end to end inference cost. This is a bad comparison.

[1] https://deepmind.google/blog/alphaevolve-a-gemini-powered-co...

Re: Advancing the price-performance frontier with GPT‑5.6

#244

Post by monkeydust »

FuriouslyAdrift wrote: post #214
jrflo wrote: post #115

Earlier quoted context omitted.

Burning the weights into silicon would be many orders of magnitude increase, not just 10x. It's kind of crazy that this hockey stick the AI hype bros talk about seems more and more every day like it might be real

Yep it will be ASICs and DSPs all over again. Orders of magnitude changes.

So which shovels companies are the ones to watch for burnt in silicon models ?

Re: Advancing the price-performance frontier with GPT‑5.6

#245

Post by amazingamazing »

simianwords wrote: post #209

There were people on HN who still thought that the API prices were being subsidised. The level of conspiracy theory was off the charts on this topic. You would get these price reductions month over month you would still have people believing in crazy stuff.

Link to definitive price info?

Re: Advancing the price-performance frontier with GPT‑5.6

#249

Post by fy20 »

cg5280 wrote: post #222
Imanari wrote: post #110

Earlier quoted context omitted.

How do you run 'deep research'?

It's a feature offered in ChatGPT and other platforms, though probably gated behind paid subscriptions.

Used to be part of the $20/mo plan but it's not anymore (not sure if they removed it completely). However GPT-5.6 is pretty good at researching if you prompt it right, I've regularly had it spend 5+ minutes researching topic with lots of web searches.

Re: Advancing the price-performance frontier with GPT‑5.6

#250

Post by oh_no »

pavpanchekha wrote: post #4

Making Luna, which was already very cheap and extremely capable, 5x cheaper is crazy. I use Sol at work but Luna at home, and while there's definitely a difference, it doesn't feel like night-and-day. After a year of ever-increasing prices it suddenly feels (between this, Kimi K3, GLM 5.2) that prices are falling again.

I pretty strongly disagree about comparing this to Kimi and GLM, 5.2 was a big price hike for Chinese models, and Kimi K3 was a big price hike to that. K3 was within spitting distance of OpenAI pricing (more expensive than short context Terra, less than long context). And that's after months of OpenAI/Anthropic prices going up.

Now we have an American lab drastically cutting a price, feels like this is the opposite of that trend.

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