Google has released updated versions of the Gemini 2.5 Flash and Flash-Lite models, enhancing quality and efficiency with significant reductions in output tokens and improved capabilities in instruction following, conciseness, and multimodal functions. The updates aim to facilitate better performance in complex applications while allowing users to easily access the latest models through new aliases.

Google has expanded its Gemini AI model family with the launch of Gemini 2.5 Pro and the introduction of the cost-effective Gemini 2.5 Pro Flash-Lite. These models offer significant improvements over previous versions, making them more competitive in the AI landscape, particularly with adjustable thinking budgets for developers. The Flash-Lite variant is designed for high-volume workloads at a fraction of the cost, though it may not be suitable for regular users due to its limitations.

Google has introduced MedGemma, open-source AI models for medical text and image understanding, available in two configurations: a multimodal model (MedGemma 4B) and a text-focused model (MedGemma 27B). While designed for various healthcare tasks, the models require further validation and adaptation before clinical use, and early testers noted limitations in their clinical accuracy.