The 12B parameter Gemma 4 removes the separate encoder to process text and images within a single unified architecture. This design streamlines multimodal reasoning and reduces latency. Google DeepMind optimized the model for high-performance local deployment. Developers can now integrate complex vision-language tasks without the overhead of multi-stage pipelines.