Google just destroyed all open-source models (Gemma 4)

Google’s release of Gemma 4 marks a significant shift in the AI landscape by providing high-performance, open-source models capable of running locally on consumer hardware, including laptops and smartphones. These models, available in dense and mixture-of-experts architectures, achieve performance levels comparable to trillion-parameter systems like KimiK 2.5 while maintaining user privacy and eliminating subscription costs. By utilizing tools like Ollama, users can deploy these models for complex tasks such as coding, multi-modal analysis, and real-time reasoning without relying on cloud-based infrastructure. While local execution offers immense utility for offline environments and data security, it requires careful consideration of hardware specifications—specifically RAM and VRAM—to optimize inference speeds. This democratization of powerful AI tools challenges the traditional business models of major AI providers by enabling sophisticated agentic workflows directly on personal devices.