Local AI workspaces are having a moment, and so is the counter-argument: why maintain hardware at all when hosted models keep getting cheaper or free? Both takes are usually supported by vibes. This article is about replacing vibes with a small, repeatable harness you can run in an afternoon, so the "local vs. free hosted" decision for your coding workflow rests on numbers you generated yourself.
The harness below measures three things that actually matter for day-to-day coding assistance: time to first token, total task latency, and whether the output passes a mechanical check (compiles, runs, or matches a pattern). It works against any OpenAI-compatible chat endpoint, which covers most local servers (llama.cpp, Ollama, vLLM) and most hosted providers.
The task suite: small, fixed, and honest
Benchmarks fail when tasks are fuzzy. Pick 6–10 tasks that mirror your real work and freeze them. Example suite:
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