This has been extremely common with the closed source providers.
Back in the GPT3 era OpenAI would release a new model, people absolutely loved it. It would be very uncensored and they'd go nuts. Then once the press and benchmarks were in they'd turn the censorship back on, crippling the model but then it was "safe" again.
And then of course providers routing some queries to smaller models if they deem it "dangerous" (or need the efficiency probably).
Open models with third party trusted providers tend to at least give you what your asking for. Although in that case you also need to double check what quantization level its using, but that data tends to be transparent.
:H::e::n::k::y:!!
npub160…x889v
2026-09-22 12:14:55 UTC
in reply to nevent1q…k64x
Author Public Key
npub1600yr4qg5vcfp7svf6ysj0008tn7aphnu0gjs6lw5hjn74n0laasjx889vSeen on
wss://relay.primal.netPublished at
2026-09-22 12:14:55 UTCEvent JSON
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