I built an autonomous dev pipeline and ran the same project head to head: a 27B local on a modded 4090, then again on cheap cloud LLMs

Reddit r/LocalLLaMA Tools

Summary

The author built an autonomous development pipeline and benchmarked it by running the same project using a local 27B model on a modified RTX 4090 versus cheap cloud LLM APIs.

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claude vs antigravity vs 3.827b vs flash next vs bonsai vs swift... built my own quality bench test framework using my own git history, early results are surprising and shocking.

Reddit r/LocalLLaMA

I'm impressed by your approach—using personal git history to create a tailored benchmark for evaluating local AI models on code tasks is both practical and insightful. It's particularly interesting to hear about early results from models like Flash Next and Swift performing unexpectedly well. I'd be curious to learn more about what specific aspects surprised you in their performance.