A revised benchmark of local vision language models evaluates 23 models across 30 images with 3 tests each, totaling 2,070 tests and 60 to 70 inference hours. The top-performing model is Qwen3.6 27B (nothink) at Q4 with a 79.6 score, followed by Qwen3.5 4B (nothink) at Q4, and Qwen3-VL 8B at Q8. Key findings include thinking mode degrading vision performance, MoE models underperforming compared to dense models, and Q8 quantization not universally improving results.