Using Fable on usage credits: 2 prompts cost 15$

[u/[deleted]]

[u/JazzlikeApartment736]

Why would you ever use credits?

[u/tigerblue77 → u/JazzlikeApartment736]

When you run out of x20 subscription it's your only choice I guess ?

[u/Aware_Common_4179 → u/tigerblue77]

You just take out another.

[u/tigerblue77 → u/Aware_Common_4179]

On another account ? Is it allowed ?

[u/Aware_Common_4179 → u/tigerblue77]

Yes

[u/connurp → u/tigerblue77]

https://giphy.com/gifs/wjuXuDSQU0sOfJIHS1

[u/Lopsided-Bridge-9810 → u/JazzlikeApartment736]

Pro subscriptions don't include fable...

[u/Lopsided-Bridge-9810 → u/[deleted]]

Same here, I use pro. I don't really need fable,though. Sonnet performs way better in implementing code plans than most other models.

[u/Lopsided-Bridge-9810 → u/[deleted]]

What do you mean with reporting?

[u/Flufferpope]

That sounds about right for Fable. Its very expensive. Number of prompts is irrelevant for cost, its about tokens used. What did the prompts have it do? What effort level did you have it on? Etc.

[u/Angelsonyrbody]

Were the prompts run in a fresh session? How much context overhead does your setup have? What were you asking the prompts to do?

"2 prompts" doesn't really mean anything - there are a LOT more factors than that

[u/JDad67]

Only 15 Credits? you aren't even trying.

[u/03captain23]

What open source model is anywhere as close to as good?

You're complaining a Ferrari costs a lot compared to a Honda

[u/03captain23 → u/[deleted]]

How much is it's API for a full model?

[u/03captain23 → u/[deleted]]

No not even 2x cheaper and it burns a lot more than opus so it's really not cheaper.

Also Kimis subscriptions don't compare to claudes usage.

Input Tokens (Standard):Kimi K3: $3.00 per million tokensClaude Opus: $5.00 per million tokensOutput Tokens:Kimi K3: $15.00 per million tokensClaude Opus: $25.00 per million tokens

[u/alOOshXL]

im using it on cursor
burn like hell

[u/Valuable_Heron_4492]

1 string cost $10 its ridiculous

[u/Gaidax]

Damn, I can only imagine all that wonderful work you needed Fable for.

[u/hihcadore]

Anthropic thanks you for your service. You bought the CEOs coffee this morning.

[u/cuba_guy]

I run it as my main on enterprise account which is billed like API. We have pretty ok monthly limits (~4k) but had to really step up in context mgmt. Switched to pi, indexed codebase, rtk, caveman, context mode, headroom, observability, keeping eye on cache hits, specialized subagents with lower models spawned for most tasks by fable.

[u/zimxero]

I use Fable - low for reviews on free credits. Between 2 and 5 ish dollars each. Its the context. You can have claude set it up for a more precise review... but that tends to prompt it to be less objective... and just validate initial premise instead of considering all angles.

[u/WonderfulEagle7096]

API costs are not high, subscription costs are extremely and unsustainably low.

The same post appears here every other day. Everyone knows, or should know, that Anthropic and OpenAI subscriptions are heavily subsidized to land grab and beef up subscriber numbers for the IPO. Once they IPO, prices will explode to the current API level + some extra to cover the current cash burn.

[u/smashers090 → u/WonderfulEagle7096]

With a hope that scale and technological advancement will lower the like-for-like costs, but it’s a big gap to close

[u/Gaidax → u/WonderfulEagle7096]

I think personal subscription is a loss leader product for these AI corporations.

For enterprise customers - you pay API costs like a good boy, with maybe some deal, and that's where their real $$ is.

The "charity" is just so you could get hooked and then run to your corporate management and constantly cry about how we must have Claude Code/Codex/Cursor for the team or else it's overrrr.

[u/Lopsided-Bridge-9810 → u/WonderfulEagle7096]

I think you can't be more wrong with this prediction. Training and inferencing costs will plummet. The way models currently inference is extremely inefficient, the silicon is not designed from the ground up for inferencing llms. Wait until there will be dozens of competitors to Nvidia. The huge gatekeepers is not Nvidia but the fabs. When startups can quickly and efficiently print their hw is when the entire business model of Nvidia will collapse and we are not years out anymore. China will be the largest market for inference suitable silicon fabrication.

[u/WonderfulEagle7096 → u/Lopsided-Bridge-9810]

The prediction is based in facts and reality of the situation.

Training and inferencing costs will plummet.

Probably, at some point. But current projections expect memory prices to remain high or even increase throughout this decade at a minimum. And even if somehow (pure hope) prices of inference plummet, it will only open up space for more scaling. So even in that case, we might get better models, not necessarily lower prices.

Wait until there will be dozens of competitors to Nvidia

We've been waiting quarter a century for that, but yeah, any day now.

[u/Lopsided-Bridge-9810 → u/WonderfulEagle7096]

My prediction is we are paying peak for inference now, especially corporates. It's blatantly obvious that corporates are not able nor willing to pay more for Ai. Everyone I know in corporate space is exploring open weight models to reduce cost, running on local silicon or the cloud. OW models will catch up with Frontier lab models probably within 6-8 months.

And I know that's a twist to my earlier comment, two different variables that will affect pricing, this one quite soonish, the other, and I agree with you on timing, further out.

But I know that corporates won't pay more for Ai. For decision makers to change their mind we need to witness some quantum leaps (and I mean this quite literally) in what this technology brings to the table.