That is, pretty damn impressive and very useable. When it comes to architecture or complex problems it does noticeable worse but I don't think anyone expected anything else.
One particular interesting strong point seems to be design and user interfaces. It does seem to punch above it's weight there but that might just be personal preference.
According to this one benchmark, I find it amusing that Qwen3.6 27B beats ALL "frontier lab" models on coding Kotlin: https://archive.vn/RYBCL / https://gertlabs.com/rankings?mode=agentic_coding&language=k...
So it's not really similar to opus in January?
So pre-nerf Opus?
It just goes in cycles of being better and then being worse again, presumably based on how much Anthropic are having to optimise inference
Can you expand on what you mean by stale? I don't get how an artefact-producer can get "stale" besides literally out-of-data information which I dont think you mean because you mention fable.