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GPT-5.6 Sol Pricing Cut by 50% on OpenRouter
461–470 of 479 posts
Re: GPT-5.6 Sol Pricing Cut by 50% on OpenRouter
#462Earlier quoted context omitted.
It's hard for me to imagine how you could define "killer product" to exclude something that takes you from $9B to $65B ARR in 8 months. https://epoch.ai/data/ai-companies?view=graph&tab=revenue
That graph looks a lot less impressive when not "annualized". Annualized revenue can be gamed in a number of ways, and is a big reason companies tend to compare YoY to investors once they're public.
Their quarterly revenue looks exactly the same. It's literally the same data. Annualized revenue can be gamed when it is fluctuating. It can't really be gamed when it is growing exponentially for three years straight. There's nothing to cherry-pick.
https://www.cnbc.com/2026/08/15/anthropic-revenue-jumps-to-o...
Re: GPT-5.6 Sol Pricing Cut by 50% on OpenRouter
#463Earlier quoted context omitted.
Doesn't just sound like it, it is. That's life for you. That's what I'm pointing out to you. [0] Just consider your own example. Do you think a less or more "rebellious look" is not something designers can actually ellicit? Less so in software design, sure, but in character design for example? Or general product design? Do you think e.g. Monster energy drinks are branded the way they are completely due to happenstanc…
I think we’re saying the same thing?? It is literally just vibes and all this faffing over which model has better “taste” is pointless Where you’re wrong is pretending there is any intellectual rigor to the discussion which justifies promoting from the domain of vibes to actual reasoned debate
We do agree that this is a vibes discussion, but disagree on whether that makes it a pointless discussion to have.
To give you a practical example, small, self-hostable models are very popular on HN. But my personal experience with them has been absolute dogwater, so this difference informs me that this is not the place where I should shop for a signal on whether a specific model like that is worth trying, or on whether it's game over for large models and remote models yet. I can "take the temperature" and make use of that without it having to be any rigorous, high assurance or mechanistic thing. It's suboptimal, but not useless.
Conversely, it also inspires people to try and substantiate these issues, so that it can eventually be more rigorous, higher assurance, and mechanistic. This is why I brought up benchmarks and benchmaxxing. Hard to know what points of consideration are salient when there is no abstract grievance to investigate, but Goodhart's law does also keep looming.
If people start moving away from Claude to GPT because e.g. Claude's output is too hard to work with and parse, that's relevant for the respective model providers, because it's a revenue share shift.
If I really like using Claude and strongly prefer its output stylistically, then claims otherwise will infuriate me, and will drive me to substantiate. If for no other reason, then because it's likely that Claude will have its language tuned in response to people's feedbacks and the revenue shifting, which may not be to my liking, and so I better prepare to call it and contend it.
It's literally like any other real world thing ever. Think tuning video codecs. Or tuning user journeys in frontend development.
Re: GPT-5.6 Sol Pricing Cut by 50% on OpenRouter
#464Earlier quoted context omitted.
or Tinfoil [0]? They serve open models with container integrity attested by Nvidia/AMD enclaves. Every cloud provider offers this of course, but not usually in a way that can be shared between distrusting users for economical inference. It still relies on the open-source containers being secure, and there's probably hardware sidechannels and stuff, but personally (ie privacy not liability) I trust it more than a cont…
Their prices are extremely high compared to the competition on https://openrouter.ai/deepseek/deepseek-v4-flash-0731 fyi. tinfoil asks more than 10x the output cost ... $1.90 per 1M tokens instead of $0.18 per 1M tokens for my favorite model (Deepseek V4 Flash 0731) on my favorite provider (DeepInfra) currently, for example.
OpenRouter does not offer private inference, so your plaintext is shared with companies you may not even know by name.
Tinfoil OTOH claims hardware attestation and confidential computing, which is a pretty strong and (in theory) verifiable promise.
You absolutely would not recommend tinfoil.sh to someone indifferent to privacy trying to save money.
It's a very different service than OpenRouter.
Re: GPT-5.6 Sol Pricing Cut by 50% on OpenRouter
#465Earlier quoted context omitted.
Terrifying to think that even physicists can't code their own simulations anymore. We're plunging headfirst into the dark ages.
Have you seen the average physicist code? I've crawled around in the muck of Fortran codes written in 1970 with unreadable 8 character variable names (the first of which encodes the type), with implicit typing, zero comments, computed go-tos, SAVE, the works. Tests? Never heard of it. Bugs everywhere. You would be far less sanguine about physicists coding if you looked into some of the "flagship" codes used today. An…
It doesn't have to look pretty, but there should be a human brain involved in creating it. How can we trust models based on AI slop?
Re: GPT-5.6 Sol Pricing Cut by 50% on OpenRouter
#466Earlier quoted context omitted.
It's funny how quickly we went from "the greedy US companies are subsidizing prices to keep competitors out of the market" to "the greedy US companies are overcharging because they are greedy."
They are subsidizing the non-API use cases and overcharging on the API use cases.
I'm not actually sure anymore they are overcharging on the API use cases, because there's so much competition.
Re: GPT-5.6 Sol Pricing Cut by 50% on OpenRouter
#467Earlier quoted context omitted.
Have you seen the average physicist code? I've crawled around in the muck of Fortran codes written in 1970 with unreadable 8 character variable names (the first of which encodes the type), with implicit typing, zero comments, computed go-tos, SAVE, the works. Tests? Never heard of it. Bugs everywhere. You would be far less sanguine about physicists coding if you looked into some of the "flagship" codes used today. An…
It doesn't have to look pretty, but there should be a human brain involved in creating it. How can we trust models based on AI slop?
0. It's not about "looking pretty", it's about being nigh impossible to understand or reason about. There is a 1000 LoC subroutine that I'm convinced was ported from FORTRAN 1 unchanged that cannot be understood by anyone under the age of 50 that underpins one of the "flagship" physics codes in my field. It's a fucking nightmare every time I have to worry about that stupid thing. I remind you that this was 100% the product of a human brain (pre computer age, pre social media, and I'm told quite the genius too). Perhaps one should not place the human brain on too high a pedestal and deify it.
1. Why did you take from my OP that I tell codex "write a climate simulation code, make no mistakes" and go suntanning on a beach in the tropics for the rest of the semester?
2. Perhaps you have a different experience from me in writing HPC codes, but my experience is that > 90% of the code is boilerplate. I find GPT 5.6 can be prone to overengineering, but with a little steering and good judgement it generates very nice interfaces and high level code. I just have to think about the solver structure or metastructure.
3. Even with core numerics - pre-AI, it was a bunch of iteration going back and forth between code and optreports. Now codex will just do it. I suppose this may seem grim to you if you loved decorating every variable with !DIR$ ASSUME_ALIGNED, and manually batching array operations or whatever, but I didn't and I'm glad I no longer need to.
4. I'm now highly motivated to write tests, and AI makes it way easier to write the immense boilerplate around good tests (sorry not sorry, my {FUNDING_AGENCY} program manager doesn't give a flying fuck what my test coverage is, and my next grant won't depend on that in the slightest, so pre-AI I did the bare minimum. You can argue that the results will be worse, yadda yadda, but the incentive structure that {FUNDING_AGENCY} has in place don't promote good software standards, and my career never suffered for it)
5. I can generate docstrings with high accuracy (see the above)
Re: GPT-5.6 Sol Pricing Cut by 50% on OpenRouter
#468Earlier quoted context omitted.
Maybe they (oai) want to pump their marketshare on openrouter lol
Any benefit of pumping marketshare on open router?
if I was going to IPO I'd want higher marketshare and openrouter is the most popular way to measure model usage (not saying it's the most accurate b/c it's not)
Re: GPT-5.6 Sol Pricing Cut by 50% on OpenRouter
#469Earlier quoted context omitted.
Fable is almost unusable for anything but super boring mainstream stuff. I was getting safeguard flagged so often I’ve significantly reduced my usage out of fear they will blacklist/ban me. Some of the topics it’s flagged have been hard for me to understand what it seeing that can be remotely concerning in my requests.
I've gotten flagged for asking questions about tokens and tensors. That makes me believe it's not about safety, it's about protecting their turf. I cancelled my subscription - same fear about getting flagged too much leading to a ban.
Getting downgraded for asking "What is digestion" to Fable is where it's just ridiculous and clearly a limitation of the technologies involved.
Re: GPT-5.6 Sol Pricing Cut by 50% on OpenRouter
#470Earlier quoted context omitted.
You can get a phone number online for a few dollars.
Historically those are less useful because some of the verification systems require a real phone number and that your name is associated with the account, depending on what and how they verify. It's annoying, I use a google voice number as my primary, and it often gets rejected.
There are several tiers to these services, some are selling real us phone number verifications at about 0.5usd/text while others are selling virtual phone number verifications at much cheaper. From some limited experience with the former, there is rarely if ever any problems with rejections.