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A test pitted Gemma 4 E4B, Qwen 3.5 9B, and Ministral 3 3B on three vision tasks: a Docker port conflict screenshot, a model count interface, and a blurry medicine photo. Qwen 3.5 9B correctly diagnosed the error, counted models accurately, and identified the medicine without hallucination. The other two models hallucinated on busy or small-text images.
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