The landscape of large language models (LLMs) has shifted from text-centric interfaces to truly multimodal reasoning engines. With the release of the Gemini 3 API, Google has introduced a paradigm shift in how developers interact with artificial intelligence. Gemini 3 isn’t just an incremental update; it represents a fundamental advancement in native multimodality, expanded context windows, and efficient agentic workflows.
In this technical deep dive, we will explore the architecture of Gemini 3, compare its capabilities with previous generations, and walk through the implementation of a production-ready AI feature: a Multimodal Intelligent Research Assistant.