I said I get good enough performance running large models on the studio.  It is good enough, and output is close to opus/sonnet levels as measured by useful work accomplished. I also don’t run out of tokens.

But TPS is still a stupid metric because I frequently find I have to interrupt Claude when it starts doing things it shouldn’t, I get prompt failures during peak time of day from what is obviously throttling of the service by Claude, and there is still human latency time for review and actions that means more time elapses between prompts allowing even a slower local model to be good enough.

I work in actual science fields with embedded hardware / instrumentation setups collecting terabytes of real data.  This is a very different experience than some front-end coder where putting vibe coded garbage and unoptimized JavaScript doesn’t matter.

Opus is not an order of magnitude faster than local, as you just said. OSS, Deepseek, GLM, etc. all run well enough locally. At this point opus is so slow and good at incorrect outputs after wasting time I only use Haiku through my GitHub copilot subscription, and use my Claude subscription to research tasks (scouring the net).

Telling others you’re not technical and don’t understand really just makes you sound like a gamer fanboy or web monkey who isn’t technical and cannot comprehend other people’s workloads.  I work on scientific computing workloads where no LLM is accurate enough that you can just vibe code your way through to an actual answer.  TPS is irrelevant.