Gemini 3.5 Flash Becomes the Brain of Google Search
Google has quietly redrawn the architecture of Search by making Gemini 3.5 Flash the default model behind AI Mode. Announced at Google I/O as the company’s biggest Search revamp in a quarter century, Flash now powers the conversational, chatbot-like experience and is also the default for the standalone Gemini app. Google positions Flash as a frontier model optimized for speed and agentic tasks, claiming it outperforms Gemini 3.1 Pro on coding and agent benchmarks while running up to four times faster than rival frontier models. In practical terms, AI Mode can now handle longer, more complex instructions and support true follow-up questions without forcing users to reformulate queries. This unification means the same core intelligence is orchestrating both your everyday web searches and your deeper Gemini-style tasks, laying the groundwork for a single AI layer that spans information retrieval, reasoning, and execution.
Search Evolves into a Multimodal Command Center
The iconic search bar is being reimagined as a multimodal command center, not just a text box. With Gemini 3.5 Flash, AI-powered search features now accept text, images, videos, files, and even Chrome tabs as inputs. The field itself expands to support long, conversational prompts, so users can describe problems, paste context, and attach screenshots in one place. Once you submit, Search can generate interactive dashboards and mini apps in real time—think custom astrophysics visualizations or a persistent fitness tracker pulling in weather, calendar, and location data. Under the hood, this is driven by Google’s Antigravity platform and agentic coding in Search, which lets Gemini design generative UIs and tailored widgets on demand. Traditional web results still exist behind a "Web" tab, but the main experience is clearly shifting toward a workspace where information retrieval, task execution, and content generation live side by side.
Agentic AI Search: From Queries to Ongoing Tasks
The most transformative change is Search’s new agentic AI search capabilities. Instead of responding once and waiting for your next query, Gemini-powered information agents can now operate continuously in the background. You can “brain dump” requirements—like your budget, neighborhood preferences, and amenities for apartment hunting—and an information agent will keep scanning blogs, listings, and real-time data, alerting you when something matches. Similar agents can watch stock movements or sneaker drops from favorite athletes without repeated manual checking. Google is also expanding agentic booking: for services such as home repair, beauty, or pet care, Search can call businesses on your behalf and help complete arrangements. These features move Search beyond its traditional query-and-answer role toward a persistent, semi-autonomous assistant that maintains context over time and handles the legwork of monitoring, filtering, and initiating actions across the web.
Where Does This Leave Standalone Gemini?
As Google Search gains multimodal search capabilities and agentic behaviors once unique to Gemini, product boundaries are blurring. AI Overviews and AI Mode already brought conversational, explanatory responses into Search, and now information agents, personal intelligence hooks into Gmail and Photos, and mini-app generation further encroach on Gemini’s territory. This raises a strategic question: if Search can converse, reason, generate content, and persist across tasks, what distinct role remains for the separate Gemini app? One plausible split is context and depth. Search stays the front door for web-centric, public tasks—surfacing links, monitoring online signals, and running lightweight agents—while Gemini leans into being a broader personal and productivity hub, more tightly integrated with Workspace and private data. For users, however, the product differentiation is increasingly opaque, reinforcing the sense that Google is converging toward a unified AI layer, even if branding lags behind.