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公開日: 2026-05-19
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Breadcrumb Innovation & AI Models & research Gemini Models Gemini 3.5: frontier intelligence with action May 19, 2026 · Share x.com Facebook LinkedIn Mail Copy link Gemini 3.5 is built to help you execute complex, agentic workflows. Koray Kavukcuoglu CTO, Google DeepMind and Chief AI Architect, Google Jeff Dean Chief Scientist, Google DeepMind and Google Research Oriol Vinyals Vice President, Google DeepMind Noam Shazeer Vice President, Google DeepMind Share x.com Facebook LinkedIn Mail Copy link In this story In this story 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 Your browser does not support the audio element. Listen to article This content is generated by Google AI. Generative AI is experimental [[duration]] minutes Voice Speed Voice Speed 0.75X 1X 1.5X 2X 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. 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. 3.5 Flash: frontier performance for agents and coding 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. Landing in the top-right quadrant of the Artificial Analysis index, 3.5 Flash delivers frontier-level intelligence at exceptional speed — proving you no longer have to trade quality for latency. 3.5 Flash: agentic tasks at scale 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. When coupled with the updated Antigravity harness, 3.5 Flash becomes a powerful engine for deploying collaborative subagents to tackle problems at scale for the most demanding use cases. Under supervision, it can reliably execute multi-step workflows and coding tasks while sustaining frontier performance. Powered by Antigravity, 3.5 Flash executes multi-step workflows to automatically rename and categorize unstructured assets based on dynamic criteria. Leveraging Antigravity, 3.5 Flash uses two agents to synthesize the AlphaZero paper and code a fully playable game in six hours. 3.5 Flash uses the Antigravity harness to transform a messy legacy codebase to Next.js. 3.5 Flash uses subagents to create new city landscapes in Antigravity. 3.5 Flash uses two agents: a builder and a player, working in a rapid self-improvement loop to develop a game in Antigravity. Building on the strong multimodal foundation of Gemini 3, 3.5 Flash generates richer, more interactive web UIs and graphics. 3.5 Flash cr