Comment by ex-aws-dude
18 hours ago
Why would you be circumspect if the gap kept getting closer?
Doesn't that indicate its becoming _more_ true?
18 hours ago
Why would you be circumspect if the gap kept getting closer?
Doesn't that indicate its becoming _more_ true?
What is the evidence the gap is closing? Seems like it has been the same "6 months behind" since Jan 2025. The first fable was trained in march and we still don't have an openweight model as capable
Not everything needs SOTA (State of the Art).
If you control for cost, not only the gap closed, but it switched already.
DeepSeek 4.1 Flash dominates perf/cost for suitable tasks.
And if you do need SOTA, Kimi 3.1 Pro scores 55 on https://artificialanalysis.ai vs 58 of Opus 5.5. And they were released 1 month appart.
Kimi even outperforms Opus on some tasks because it doesn't downgrade its intelligente on cyber and cryptography workloads or ban you if you use it for LLM research.
So the gap is 1 month, or zero, depending on your needs.
> Not everything needs SOTA (State of the Art).
but if they cost the same then who cares if it's SOTA or not? If I can use fable to solve a problem a lesser model is capable of but i have fable at my finger tips at about the same cost then why would i go through the effort to switch?
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