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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

#91
post #47

I generally just check the Price/Performance graph on Openrouter: https://openrouter.ai/rankings#performance#benchmarks . Activate the "Show Pareto" toggle on the right. I was still using GLM-5.2 in my personal projects, but this just made Luna a very easy choice.

The official doc says, Luna = Previous Nano models, kind of. Is it really good at coding?

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

#92

We swapped an internal system from gpt-5-mini to gpt-5.6-luna and saw no benefit but 4x cost. Sufficed to say: we swapped back to gpt-5-mini.

Experienced similar between 5.4-mini vs 5.6-luna in our own pipelines but after spending some time on prompt optimization and testing out various reasoning effort levels 5.6-luna was well worth it. Did you just replace model selection while keeping everything else in place or spend some time on evaling with newer prompts etc?

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

#93
post #14

> Starting today, GPT‑5.6 Luna, our fastest and most affordable model, will cost 80% less, I don't have the words. I genuinely thought we were in a stage where we were plateauing and going in for 5-10% improvements over months. Seeing spikes like this makes me question about where the floor really is.

Totally possible that humans aren't actually that intelligent.

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

#94

Earlier quoted context omitted.

To be fair we don't really know in terms of prices what's real and what's just investor subsidised attempts at market capture at this point. It could well be OpenAI's attempt to drown Anthropic while they've got the halo product if they feel they've got deeper pockets.

We can guess based on the decisions of other inference providers who serve these models.

Do you mean if other providers will cut their prices in turn?

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

#95
post #30

80% price cut for luna is a very aggressive pricing move makes it by far the best choice for most workloads that do not need bleeding edge intelligence (reminder: luna can be comparable to opus 5!)

Luna is meant to compete with Haiku. What tasks are you seeing it equal Opus on?

luna is way better than haiku 4.5

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

#96
post #14

> Starting today, GPT‑5.6 Luna, our fastest and most affordable model, will cost 80% less, I don't have the words. I genuinely thought we were in a stage where we were plateauing and going in for 5-10% improvements over months. Seeing spikes like this makes me question about where the floor really is.

They over purchased hardware. This is very likely priced below recovering the cost of the hardware but still above operating expenses.

That’s ridiculous. Every major AI lab is compute constrained. That’s exactly why nvidia is worth trillions today. If OpenAI had a single extra GPU they’d be using it to run another training cycle or experiment for their next model.

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

#97
Seems like they're working to destroy the local LLM argument. Right now Haiku is $1/$5 in/out. You can grind out $12,000 worth of haiku (or arguably, sonnet) class tokens in about 5 months on a Blackwell RTX 6000 96GB especially if using concurrency. BUT, but, if you use a g6e.xlarge on aws it's now more expensive than buying tokens from OpenAI @ $0.20/$1.20. It also destroys "the Mac Mini argument", pushing the ROI to ~4 years.

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

#98
post #69

Earlier quoted context omitted.

It all comes back to electricity cost. China has cheaper electricity so as long as China keeps pace there is no way for American companies to undercut them. Each boolean operation in China is cheaper than the one in America. > China: Household rates average around $0.08 / kWh (¥0.53/kWh). vs > US: Household rates average around $0.16 / kWh, though regional variation is massive—ranging from ~$0.10/kWh in low-cost stat…

This doesn't seem correct. Estimated final electricity price for large industrial customers in energy-intensive industries: USA 50 USD/MWh China 68 USD/MWh https://www.iea.org/reports/electricity-2026/prices

[deleted]

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

#99
post #51

Earlier quoted context omitted.

This is gonna put Sonnet 5 in a really awkward spot.

Sonnet and Haiku were already in an awkward spot, likely by design. Anthropic's big marketing push this year has been entirely focused on getting people to use Opus via a Claude Code subscription, to the point that Sonnet is almost viewed as the poor man's alternative, and from what I've seen, almost nobody uses it. Actually, here's an interesting project for all the vibe coders looking for their next front page post…

Opus 5 is not strong enough as the top-of-stack model, and feels idiotic after a week or two of heavy Fable usage, to the point where I'm paying for Usage Credits to keep using Fable rather than having to slum it with Opus.

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

#100
post #14

> Starting today, GPT‑5.6 Luna, our fastest and most affordable model, will cost 80% less, I don't have the words. I genuinely thought we were in a stage where we were plateauing and going in for 5-10% improvements over months. Seeing spikes like this makes me question about where the floor really is.

> Seeing spikes like this makes me question about where the floor really is.

You mean they increased the price and then cut it back and now it is amazing?

Luna had a price hike vs mini (its previous replacement). The cut now just puts it back in that ball park.

Not that this isn't good news, but what's impressive?

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