Gemini 3.5: frontier intelligence with action

URL Source: https://deepmind.google/blog/gemini-3-5-frontier-intelligence-with-action/

Gemini 3.5 is built to help you execute complex, agentic workflows.

!Image 1: Gemini 3.5 text and multi-colored star icon on an abstract blue background.

In this article Gemini 3.5 Flash Frontier intelligence, exceptional speed Agentic tasks at scale Richer graphics Real-world impact Personal AI agents Built with Frontier safeguards Available today

Today, we’re introducing Gemini 3.5, our latest family of models combining frontier intelligence with action. This represents a major leap forward in building more capable, intelligent agents. We’re kicking off the series by releasing 3.5 Flash. It delivers frontier performance for agents and coding, excelling at complex long-horizon tasks that deliver real-world utility.

This balance of speed and performance makes 3.5 Flash ideal for tackling long-horizon agentic tasks. What used to take a developer days or an auditor weeks, 3.5 Flash can now help complete in a fraction of the time, often at less than half the cost of other frontier models. It rapidly plans, builds and iterates to solve real-world problems, whether it’s developing new applications, maintaining codebases or helping to prepare financial documents.

3.5 Flash is available today to billions of people globally:

For everyone via the Gemini app and AI Mode in Google Search For developers in our agent-first development platform Google Antigravity and Gemini API in Google AI Studio and Android Studio For enterprises in Gemini Enterprise Agent Platform and Gemini Enterprise.

We’re also hard at work on 3.5 Pro. It's already being used internally, and we look forward to rolling it out next month.

Gemini 3.5 Flash delivers intelligence that rivals large flagship models on multiple dimensions, at the speeds you have come to expect from the Flash series. It’s our strongest agentic and coding model yet, outperforming Gemini 3.1 Pro on challenging coding and agentic benchmarks like Terminal-Bench 2.1 (76.2%), GDPval-AA (1656 Elo) and MCP Atlas (83.6%), and leading in multimodal understanding (84.2% on CharXiv Reasoning). When looking at output tokens per second, it is 4 times faster than other frontier models.