The post mainly talks about coding from security point of view.
The post mainly talks about coding from security point of view. Fair enough. In my own (limited) testing so far, Fable is the most capable model (for coding in general), and the most expensive. It pretty much saturated my "LLMCraft" benchmark to implement a mini RTS: https://senko.net/vibecode-bench/2026/rts-fable-5.html (prompt and results for other models here: https://senko.net/vibecode-bench/ ) That said, combined with workflows and high thinking effort, burns through tokens (and money) at an alarming rate. It may be too good (snd too expensive) for most tasks - using it alongside cheaper models for grunt work is probably the winning strategy.
Posted by senko on Jun 11, 2026, 11:20 PM
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Raise real-world problems, find people facing the same issue, and discuss solutions.2,000 issues0 comments
pricing (Other)
Yeah, the plan is far too expensive for what it provides.
NewCrashed demand after one of the big AI labs (probably Anthropic because they focus way too hard on expensive frontier models) become inso...
New/dev/random is much too expensive for this.
Yeah, this always bugged me.
A year ago, I had the opinion that it'd be too expensive for developers to support offline mode, peer to peer, or community servers after...
The weird thing about this product is that its biggest competitor is "an old ipad." I feel like most of their target customer base alread...
There's a talk from Travis Kalanick recently on a podcast about this.
>nobody ever bought German cars for their low prices, except the Beetle Huh?
The post mainly talks about coding from security point of view.
The post mainly talks about coding from security point of view. Fair enough. In my own (limited) testing so far, Fable is the most capable model (for coding in general), and the most expensive. It pretty much saturated my "LLMCraft" benchmark to implement a mini RTS: https://senko.net/vibecode-bench/2026/rts-fable-5.html (prompt and results for other models here: https://senko.net/vibecode-bench/ ) That said, combined with workflows and high thinking effort, burns through tokens (and money) at an alarming rate. It may be too good (snd too expensive) for most tasks - using it alongside cheaper models for grunt work is probably the winning strategy.
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