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Advancing the price-performance frontier with GPT‑5.6

openai.com

181–190 of 424 posts

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

#181
post #49

What are your use case for these? I’m manly interested in coding where more capability is better - give me a 10x model at 10x the price and I’ll take it. A worse model at very low cost has no appeal to me. At-least not for coding. Translation maybe? OCR?

Agentic layer.

Your support bot.

Your research long running bot.

Your SEO Optimizer bot.

Your incident analyser bot.

Your personal assistent bot.

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

#182

"Half the money I spend on advertising is wasted; the trouble is I don't know which half." -John Wanamaker This applies even more strongly to model choosing. I know for a fact that majority of my work doesn't require a very strong model, but separating the trivial and non-trivial tasks is a famously hard problem (if at all decidable).

[dead]

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

#183
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?

You'd be surprised at what Luna can do, especially on xhigh or max. It's capable of working overnight, usually productively, just like Sol.

Haiku 4.5, on the other hand, is comparable to performance to Gemma4 31B (with working tool call formatting) in my experience, and Gemma4 strongly wins on vision and multimodal.

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

#184
post #115

Earlier quoted context omitted.

When model intelligence reliably hits 90%-95% of current day knowledge worker tasks, they are going to burn those weight to silicon and we will see another 10X improvement in price/performance frontier. The dynamic GPU clusters will be used for the 5% of tasks, and pushing out the frontier. Also there will be a set of knowledge tasks that are not done today (because they are too difficult for most knowledge workers),…

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

What does that mean though? Like some kind of a ROM memory ?

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

#187
post #181
post #49

What are your use case for these? I’m manly interested in coding where more capability is better - give me a 10x model at 10x the price and I’ll take it. A worse model at very low cost has no appeal to me. At-least not for coding. Translation maybe? OCR?

Agentic layer. Your support bot. Your research long running bot. Your SEO Optimizer bot. Your incident analyser bot. Your personal assistent bot.

Game play bots (monsters, commanders maybe) would be really cool. But it needs long term support and probably local AI instead.

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

#189
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.

Hasn't OpenRouter had Luna and Terra on 50% off sale since they launched? I wonder what will happen to that.

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

#190
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…

I tried out deepseek v4 pro via a couple providers from openrouter, and it's always getting 429s. Are you running it on your own hardware?
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