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Posted by tosh 7 hours ago

OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)(developers.openai.com)
257 points | 236 commentspage 2
nahnahno 4 hours ago|
My prediction is that this becomes permanent. There is no good reason to be much more expensive than opus. At $4/$20 they are roughly at parity.

Making 2/10 permanent would be a killer move and make a strong argument against open-weight. For the sake of the open weight ecosystem I hope they do not.

redox99 1 hour ago||
Sol is much cheaper than opus because it uses less tokens. Never compare token pricing.
ayargz 4 hours ago|||
Isn't it essentially permanent since a new model will be out by then?
sauwan 3 hours ago||
I'm guessing they do this to help move people off old models they want to depreciate. It's not a price hike for old models, it's them removing a discount!
Ringz 5 hours ago||
The price difference to Deepseek models (deepseek-v4-flash, deepseek-v4-pro and deepseek-v4-flash-vision-exp) is still significant while the performance difference is not.
AmazingTurtle 5 hours ago||
But I'm fine paying +50% more for +5% increased performance because it will pay off.
lostmsu 3 hours ago||
Performance difference it large by all benchmarks. DeepSeek fell behind. It's Kimi K3 or GLM-5.3 now.
esafak 1 hour ago||
It still occupies a place on the Pareto frontier.
lostmsu 47 minutes ago||
IMO Pareto frontier is a lie. At any given moment there's only one "best" strategy and my guess would be in most cases it is just using the best model.
esafak 11 minutes ago||
Fable all day? Cost is not an issue for you then.
Alifatisk 6 hours ago||
Bummer, this does not affect the weekly usage on Codex through Subscription.
m4rtink 5 hours ago||
Let the race to the bottom - and beyond - begin!
prtmnth 6 hours ago||
Through OpenRouter you can get Sol for $2 input / $10 output which makes it a really attractive choice amongst frontier models.
indigodaddy 6 hours ago|
Wonder if that makes it cheaper than using on the sub (ignoring reset shenanigans)
lxgr 5 hours ago||
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...

victor9000 7 hours ago||
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.
notatoad 7 hours ago||
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.
markerz 7 hours ago|||
What about companies purchasing enterprise contracts? Most contracts are minimum 12 months. At a minimum, to secure enteprise requirements like zero-data retention, you'll need to lock into a single provider.

These price reductions are mostly targeted towards self-serve customers on individual or small team plans, where individual choice matters and the friction of changing models/providers is low.

notatoad 6 hours ago|||
if you've got an enterprise contract, doesn't that include pricing? a temporary discount on the base API rate probably isn't super relevant to that.
markerz 6 hours ago||
Exactly my and top commenter's point. "Temporary price reduction" and "production workloads" are two different worlds.

I'm against the idea that "there's really no point in locking in model choice for anything more than a month or two these days". At a minimum, enterprises are going to lock in a provider for a year due to enterprise contracts, which restricts their model choices. You sign for Anthropic, but now OpenAI models are "better". Or, you signed for AWS Bedrock: Oh no, you don't have access to deepseek-v4 because they're behind.

bluebands 6 hours ago||||
enterprises usually a. just get chatgpt/claude enterprise, or b. just pay the aws bedrock or azure bill

neither of these entail model lock-in

oh_no 4 hours ago|||
what? enterprise LLM API contracts pay listed model rates. how could they lock you into pricing on models that they've not developed yet?

enterprise SaaS LLM calls do lock in rates but don't lock in models for similar reasons to the above.

eddythompson80 7 hours ago||
Do you have guarantees that the price of the model you’re using in production today won’t increase in the future?
colinsane 3 hours ago||
the fastest, most compliant model remains the cheapest. you could discount Sol to the same price as Luna and i would still prefer Luna for 90%+ of tasks. once you hit this baseline capability, speed and predictability dominate for anything i'd throw these at in production.
xfax 7 hours ago||
Your move, Anthropic
system2 1 hour ago|
They will just slow down the models even further. Anthropic is not up to this race.
bronlund 4 hours ago||
It's going to be like gas. Token prices are going to change multiple times a day.
throwaway2027 6 hours ago|
I think this is a move to get people off the subscription and move to API. The weekly usage is still awful altough it seems they're trying to fix it but I'm not hopeful.
akman 6 minutes ago||
why though? I doubt subscribers are moving the need for ARR, even for OpenAI
ArvidSu 5 hours ago||
Why do you think they want less people subscribing?
lelanthran 2 hours ago|||
> Why do you think they want less people subscribing?

Losing money on each subscriber?

oh_no 4 hours ago|||
very easy to lose money on subscription, very easy to make money on api pricing
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