I think it's weirdly just a choice of deciding to cut releases.

We already know OpenAI has "bel" that is MUCH better than astra and is being used internally

> largely 2-horse

The absolute frontier is largely 2-horse, but the rest of the pack is very close behind, which I'm grateful for. Grok, Facebook, and the Chinese vendors are producing excellent models.

I REALLY need new seasons of 'Silicon Valley'

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I do.

The results are less buggy, animations are much better.

It can work autonomously for hours and the result is decent most of the time.

That wasn't usually the case with 5.5, which needed more feedback and iterations to get things right.

Astra is noticeably smarter than any OpenAI model before it. Sol 6.1 is very noticeably smarter than sol 6 even after half a day of using it (sol 6 was actually terra 6 and opus 5.5 has taken them by a total complete surprise)

Felt the same until I started using Luna. I feel like I get similar performance, but faster, and my usage lasts so much longer.

It's the same for most tasks. Where I do notice it is long agent runs, where agents take more steps and the performance difference definitely compounds over the iterations.

Kinda same but I miss my 5.3 Codex. Thing lasted forever on my $20 subscription and with detailed prompts was able to pretty much implement everything I requested it to do with a acceptable quality.

Because you're probably using it for stuff like "edit this function"/"refactor this class". 5.5 to 5.6 Sol was a giant jump. 5.6 to 6.1 seems very large as well.

Meanwhile Fable 5 and Opus 5.5 are in a different league.

Same. 5.5 got work done then 5.6 was also fine then 6 was maybe not quite as good. Now with 6.1 they are cutting usage and raising prices and introducing ultra fast mode, but things were good enough 5 months ago.

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Didn't they announce the billing changes the same day?

I suppose it's the reverse of Amara's law:

"We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run"

I suspect it's partly because people didn't jump from GPT-3 to GPT-6.1 Sol and partly because SOTA models from the last few(?) months have been able to tackle most of the regular tasks. It means this new model isn't different in that regard from Opus 4.8, if your mental benchmark is that they both are capable of implementing something like a CRUD app.

I’ve seen overwhelmingly that when a model is good people see it, and when it isn’t, they criticize. I’ve seen nothing but ‘wow this is a huge step up’ from Opus 5.5. I felt this way about Opus 4.5, GPT-5.6 Sol/Luna, and to a lesser extent with Fable and Astra. But Opus 5 was ass, and the entire gpt 6 line feels like OpenAI’s version of that.

I like the fast releases. 6.1 coming so fast after 6.0 means they found some improvement solid enough for a new rollout.

The only time I remember the newest model making an obvious regression was when the first rolled out MoE. Super speed update but each request had less intelligence at hand. We’re way past that now

They've been pretty capable for a very long time. I don't think the models are getting more capable so much as people are getting better at using them and more people are getting the opportunity to be impressed.

I think everyone, I mean everyone, has noticed how different GPT-6 sol is from 5.6. Just not the direction OpenAI hoped for.

I don't think a great model would be replaced in a week.

If the previous one was as good as worth retiring in 7 days, there's a good chance the new one is also not great.

Why speculate?

We should be thankful that Chinese Models are very cheap

> It would be very nice if artificialintelligence.ai actually, from a UX perspective, did the models in more than one thinking mode

But they do. See for example the pareto curve they have, try to locate GPT-6 Luna (max), (xhigh), (high), (medium), (low)

> I wanna build a feeling for what high, medium, etc. actually gives me

Nothing, really. It's like oversampling your data set. You usually get a much better overall baseline performance if you use the default setting.

It does!

…but not for all models, which is pretty annoying.

What is your use case?

What about those do you think are "shady"? Price discrimination in favor of small customers at the expense of large customers is somewhat common; businesses want customers to buy more of their products, but customers are not obliged to buy more if they like their current deals. Having limits on using finite resources seems even easier to justify.

Do you mean the subsidized subscriptions which allow individuals to pay a tenth of the normal API cost for tokens?