I have a really strong suspicion that there is something different about OAI prepaid tokens in the API vs elsewhere. I've been able to get away with spending less than $150/m on average while many peers are hitting 10x that.
I am curious how many on HN have manually configured their copilot install with a custom OAI token for 5.4/5.5. In my experience, the performance difference over the built in subscription models is immense. This setup tends to solve the problem so quickly and reliably that any desire to have it run while I'm asleep seems absolutely ridiculous. The performance is constant throughout the day and week.
I think what might be happening is that we are chasing the cost optimization rabbit a little bit too hard. Capability is weird dimension to quantify. A weaker model is not weaker in a linear way. It's usually this incredibly tall brick wall of a discrete go/no-go. If the model can't do the task, it doesn't matter how cheap the tokens are. Something approaching the inverse is also largely true.
Focus on the capability (is this giving my customer what they want) instead of the cost, and you will likely find that the cost never reaches a threshold where you even begin to worry about it. Starting from a position of cost optimization tends to spiral into a dark place.
I haven't used OpenAI for months since them supporting the warmongers officially, and I have to say not only don't I miss them - I barely think about them expect for their "please come back" emails from my account I haven't deleted yet unfortunately.
Competition is lovely. And ironically, OpenAI will probably get and keep lots of enterprise customers like Microsoft^ that won’t accept anything less of ZDR.
[1] https://www.theverge.com/report/947575/microsoft-claude-fabl...
They cut prices and get more customers who are going to move to the next vendor that cuts prices even more or when they jack up the prices again.
I am not complaining, I like my investor subsidised tokens, I don't see what these companies see as their end goal when it's becoming more and more possible to run a competent LLM locally(even with today's RAM prices).
I am surprised that there is no Claude or ChatGPT machine that I could buy, I feel like they should be opening up that model, but I guess subscriptions look better on balance sheets.
It's all speculation.
Reality is Fable is x2 price increase against previous.
GPT5.5 is x2 price increase against previous. And after the last week reset, codex is hungry for your sub allowance.
Everybody can see that the massive raises are not matching the revenue, at all.
It's a surprising headline. Yes it does make sense to cut the price to gain market share, but it also make sense to keep it at a sustainable level, which seems to not have been reached yet.
This pre-IPO battle is very entertaining. Curious how it all ends
I’d upgrade ChatGPT for the family but I have them in an enterprise plan so I can distribute custom GPTs easily and that’s incompatible. Ah well.
No moat!
Think about where any of them will be in 20 years
On device AI?
i wonder what % of Anthropic's subscriptions is annual vs monthly
Wasn't this move meant to be delayed until after the IPO?
Too bad codex still sucks. Anthropic could double their prices tomorrow and I'd probably still pay it.
I think it is time to start shorting.
Nothing to do with price.
Claude actually works - unless OpenAI can do that it would make no difference if it was free.
It works unbelievably well actually - it’s truly amazing.
Is OpenAI bankrupt yet?
OpenAI is full of Trump/MAGA supporters and actively encourages using AI to kill people.
More than happy to watch them lose the global consumer market while they compete with Palantir for DoD contracts.
The frontier labs commonly trade spots at the top of the benchmarks with each new model release.
The timing of these price cut discussions says to me OpenAI has no imminent release that will be edging out Mythos/Fable.
If so the question becomes when can they do so, or is this possibly a turning point where Anthropic keeps the crown to themselves for the foreseeable future.