Google announced enhancements to its Gemini 2.5 Flash and 2.5 Pro, aiming for a 'universal AI assistant' that is personal, proactive, and powerful.Gemini 2.5 Pro features a one-million-token context window and introduced 'Deep Think' for considering multiple hypotheses.Deep Think has excelled on math and coding benchmarks like USAMO and LiveCodeBench, showcasing impressive scores.The model leads in coding leaderboard WebDev Arena and LMArena across all categories, demonstrating proficiency.Google also introduced an improved 2.5 Flash model for speed, efficiency, and cost-effectiveness, second only to 2.5 Pro.2.5 Flash now uses 20 to 30% fewer tokens and will be generally available for production in early June.New capabilities include native audio output, text-to-speech for multiple speakers, thought summaries, and thinking budgets.Users can steer Gemini's tone with native audio input and benefit from affective dialogue, proactive audio, and thinking features.Gemini 2.5 Pro and Flash support over 24 languages with expressive text-to-speech and the ability to switch between dialects smoothly.Developers now have the option to control thinking budgets in Pro and Flash models, providing flexibility in token usage.Google adds native SDK support for Model Context Protocol (MCP) definitions in the Gemini API for easier integration with open-source tools.