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OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)

developers.openai.com

131–140 of 352 posts

Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)

#131

Earlier quoted context omitted.

I took GP as asking for evidence that the reduced-cost Sol is actually a distillation of the previous-cost Sol. AFAIK, providers distilling or quantising models and offering them as the same model have not been proven.

I doubt he was claiming that. He's probably saying that the ability of Chinese companies to be able to distill frontier US models has put downwards pressure on the price of all models.

Alternatively, modern AI is good enough at optimizing its own kernels that it just keeps pushing costs down. Unlike the semi-decentralized inference provider community, OpenAI has both the talent and the compute to throw at the problem of making their models much more efficient to run.

GPU kernel optimization is just the kind of well-bounded problem with clear success criteria that AI loves.

Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)

#132
post #37
post #3

Absolutely loving this price war, long live open source models.

> long live open source models There are no open source models, at least not useful ones (yet) [0]. Open weight is not the same as open source. The current "open weight" models are just opaque binary blobs you can run on your own computer instead of through a web API. [0] https://allenai.org/

Can you explain what's missing for the "open source" label that open-weight models like DeepSeek/Quen/GLM/etc don't release?

Is it just the supplementary data/code for how they were trained, not just the final product?

Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)

#134
Maybe it's because I don't use it in Codex, but I don't like working with Sol. It CONSTANTLY omits things it shouldn't, and is always dispatching sub-agents to do what I tell it to do, that don't have all the necessary context, and so they go on and do the research that was already done by the top-level agent. It's maddening.

I tried it again today because of the discount, it told me it couldn't run acceptance tests because a .env file did not exist, and when I showed it the damn file it went "ah, it's there now". I think it was the first time I've ever had an agent try to gaslight me.

Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)

#135

What good does a temporary price reduction do for production workloads? I'm not even running evals on something that is not long-term sustainable.

if you're picking AI models for long-term sustainability you're doing it wrong. There's really no point in locking in model choice for anything more than a month or two these days.

[deleted]

Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)

#136
post #70

Through OpenRouter you can get Sol for $2 input / $10 output which makes it a really attractive choice amongst frontier models.

Wonder if that makes it cheaper than using on the sub (ignoring reset shenanigans)

I'd be very surprised if that were the case, unless they have severely devalued how much "100% usage" is worth – which, as I understand, they could at any point, given that they don't publicly specify how many tokens (or at least "credits" [1]) are included in each plan per month.

It really reminds me of pay-to-win games at this point: Two currencies (credits, tokens), both with a floating, intransparent exchange rate between each other and real money, random airdrops...

[1] https://help.openai.com/en/articles/12642688-using-credits-f...

Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)

#137

The fact that AI models can be so easily distilled and replicated is such a stroke of luck. 10 or 15 years ago if one had asked me to envision a future where a private company invents artificial intelligence, I'd have thought for sure they'd have a massive moat, be very difficult to catch, and it would create an almost instant monopoly. Rather, it seems that selling intelligence might end up as a race to the bottom.…

OpenAI could still have a significant moat. ChatGPT occupies most consumers’ minds when they think about AI and has become a household name. Google won because search became a habit-forming product people grew accustomed to using. Bing was once effectively indistinguishable from Google Search, yet still failed to achieve mass adoption because users had already become accustomed to “Googling” things. The same could be…

Difference is that it was free to google/bing search. Ai prompting costs money.

If I run out of tokens on ChatGPT of course I will try Claude. I never ran out of Google searches so no reason to try Bing

Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)

#138

Earlier quoted context omitted.

Hmm, don't people think that if the frontier labs really put enough engineering effort into preventing distillation that they would be able to do that, or at least diminish it significantly? I'm sure there are variety of additional techniques they could use on top of what they already do, but I suspect it just hasn't been at the top of their priorities yet. Maybe that will change soon. Worst case they could add addit…

The frontier labs have competing goals in mind. They want high growth (which means little friction for account creation), API access (because enterprise money is the best money to have), and distillation protection. Besides, identity verification that actually works at scale is a much harder problem than identity verification which is good enough to satisfy your compliance people and regulators. Especially if the fra…

In particular, harvesting identities for online fraud is an industrial market for various criminal organizations.

Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)

#139

Maybe it's because I don't use it in Codex, but I don't like working with Sol. It CONSTANTLY omits things it shouldn't, and is always dispatching sub-agents to do what I tell it to do, that don't have all the necessary context, and so they go on and do the research that was already done by the top-level agent. It's maddening. I tried it again today because of the discount, it told me it couldn't run acceptance tests…

I'd give it some more time. My first interactions with Sol were not good. It cut a dangerous corner and I had to call it out.

But I continued to work with it and found that it was mostly my own style of interacting that needed to change. In a way it is similar to a new co-worker, they have their own personality and ways of working. Once I figured that out I have been able to get very good work out of Sol.

Sol seems to work better when you are clear, precise, direct and unambiguous. The model seems annoyed if things aren't spelled out. Not micro-managing, it seems to have a high bar for specific intent.

When I get Fable to write out specs for Sol, I tell Fable that Sol is a nit-picking literalist that is exceptional at instruction following. So far this description has lead Fable to generate specs that Sol implements at a high quality.

Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)

#140
post #13

Earlier quoted context omitted.

Sun, Earth, Moon — it’s basically L/M/S like you want but a little less boring. Why is large better than medium to the average end user of ChatGPT though? I don’t think there’s a way to name these things that will satisfy everyone.

The naming schema actually tripped me up for a week or so. My brain's initial conception of the concepts was earth-relative, so I mapped it as: Sol = big, it's the sun Luna = medium, in-between sun and earth, space Terra = small, terrestrial

It tripped me up because I was going by distance. I thought Terra was the base model and Luna was the mid model because it’s further away.
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