Gemini 3.5 Flash Brings Faster AI Coding and Agentic Workflows to Search

Google has launched Gemini 3.5 Flash, a new AI model focused on agentic workflows and coding tasks, as the company pushes Gemini deeper into Search, developer tools, enterprise software, and autonomous AI systems.

Announced at I/O 2026, Gemini 3.5 Flash becomes the default model powering both the Gemini app and AI Mode in Google Search globally. The model is also rolling out across Google Antigravity, Google AI Studio, Android Studio, Gemini Enterprise Agent Platform, and Gemini Enterprise.

Google described 3.5 Flash as its strongest “agentic and coding model yet,” built to handle complex multi-step tasks that require planning, execution, and iterative problem-solving over longer time horizons. The company said the model delivers “frontier performance for agents and coding” while maintaining the low-latency speeds associated with the Flash model line.

According to Google, Gemini 3.5 Flash outperforms Gemini 3.1 Pro across several coding and agentic benchmarks, including Terminal-Bench 2.1, GDPval-AA, and MCP Atlas. The company also said the model is four times faster than other frontier AI models when measured by output tokens per second.

A major focus of the release is AI agents capable of coordinating complex workflows with minimal supervision. Google said 3.5 Flash can rapidly plan, build, and iterate across tasks such as application development, codebase maintenance, and financial document preparation. When paired with the updated Antigravity system, the model can deploy collaborative subagents designed to handle large-scale workflows and coding operations.

Google also highlighted improvements in multimodal UI generation. The model can create interactive web interfaces, graphics, animations, tables, and visual tools dynamically, including simulations and research visualizations generated inside AI Studio.

The company said partners are already using the system in production environments. Shopify, for example, is running parallel subagents powered by Gemini 3.5 Flash to analyze large datasets and generate merchant growth forecasts.

Google is additionally introducing Gemini Spark, a new personal AI agent powered by 3.5 Flash. The company described Spark as a continuously running assistant designed to help users manage digital tasks while operating “under your direction.” Gemini Spark is rolling out first to trusted testers, with a beta planned for Google AI Ultra subscribers in the U.S. next week.

Search is also becoming one of the biggest surfaces for Gemini 3.5 Flash. Google said the model powers new information agents, generative UI systems, and interactive search experiences capable of building custom visuals and simulations directly inside Search results.

Alongside the performance upgrades, Google said Gemini 3.5 was developed under its Frontier Safety Framework, with expanded cyber and CBRN safeguards intended to reduce harmful outputs and improve response reliability.

Google also confirmed that Gemini 3.5 Pro is currently being used internally and is expected to roll out next month.

This analysis is based on reporting from Google.

Images courtesy of Google.

This article was generated with AI assistance and reviewed for accuracy and quality.