The investment in the Gemini program has focused on integrating various capabilities quickly, allowing the model to handle tasks like coding, text generation, and image generation all in one place.

Gemini 1.5 is notable for being a true mixture of experts, activating specific paths for different data types, making it more energy efficient compared to models that use modular approaches.

Gemini 1.5 features a context window of one million tokens, significantly larger than GPT-4's 128,000 tokens, allowing for more extensive data processing and potentially transforming how consumer applications are built.

We're introducing a new mode called Deep Think for Gemini 2.5 Pro, which enhances model performance by allowing more time for reasoning and thinking.

Gemini 2.5 Pro is our most intelligent model yet, and it excels in coding, leading on all major coding leaderboards.

The Gemini Developer API introduced many new features, including thought summaries directly in the API, native audio output for better voice control, and a URL context tool that allows models to analyze web links, enhancing the building blocks for new capabilities.

Gemini 2.5 is our most secure model yet, with strengthened protections against security threats and improved transparency through thought summaries.

Gemini Flash is evolving quickly, and its training stack is being improved with reasoning capabilities.

Generative media models are impressive, but my attention is mainly on Gemini because of its potential for significant breakthroughs in AI.