A user on Reddit's r/LocalLLaMA community shared impressive performance metrics for the Qwen3.6 model, achieving 125 tokens per second with a q4xl quantization on a dual RTX 4060 Ti setup. This configuration, costing under $1000 and consuming approximately 300 watts, reportedly outperforms more expensive mini PCs released in 2026. The user is exploring ways to further optimize the setup to reach 150 tokens per second. AI
IMPACT Demonstrates high performance and cost-efficiency for running large language models locally.
RANK_REASON User-reported performance benchmark of an open-source model on consumer hardware. [lever_c_demoted from research: ic=1 ai=0.7]
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