We're introducing thinking budgets in Gemini 2.5 Pro, giving users control over cost and latency versus quality in model responses.

The Gemini model is being leveraged to enhance AI capabilities in projects like Mariner, focusing on long context and memory.

The Gemini 2.0 Pro model has impressed me with its capabilities, particularly its ability to process large amounts of information efficiently.

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

Google's Gemini 2.5 Pro is now the leading model across all categories, showcasing significant advancements in AI capabilities.

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.

The thinking traces in Gemini Pro provide critical debug information to understand prompt failures and improve them.

We're integrating advanced capabilities into Gemini Live, including video understanding and memory, to enhance user experience.