Users highlight capability gaps in cost-only comparison
4 Sep 14 10:45 PM · 13d ago · 3 comments · 1 source · development 4 of 5
Commenters note that local models allow fine-tuning and removal of safety guardrails—features unavailable in API subscriptions. Others question whether comparing against frontier models (Claude, GPT) makes sense when smaller local models solve different use cases.
“If you can run a model locally then you can somewhat train out the guardrails, censorship, and brand-safety. That has value a subscription does not.”
chasd00rlindsey123 Developer
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What people said 4 voices · verbatim
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Not a fair comparison really. If you can run a model locally then you can somewhat train out the guardrails, censorship, and brand-safety. That has value a subscription does not.Idk about the quality of this setup but just pasting it here as an example.
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You can't run recent openAI/Anthropic models locally anyway, so wouldn't a better comparison be a different provider running Qwen or similar model? As then you can also compare against the exact model you'd have locally and any different data privacy of that particular provider?
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Claude Code is $100+ or else be constantly throttled. My usage on GHCP was gonna be $300+ a month.I paid $1350 and threw an R9700 in an existing machine. That's a 4 month pay off or so.Plus, I can feed it sensitive data all day and not be worried where it's going.
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Fun feature: can you show some sort of list of the best combos? Eg shortest payoff time for best capability in various situations.
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