Ah! Good question: Google's non-open-weights models (Gemini, etc) have almost always outperformed on image recognition tasks compared to any other models. I use a mix of in-house and Gemini for image classification tasks for $startup. No other models have done as well, and I had hoped that some of that would spill over into their open source models. It does to a degree - bigger Gemma models are okay.