
Google has just unveiled Gemini 3.5, the latest family of models designed to combine frontier-level intelligence with real-world action. Representing a major leap forward in building capable, intelligent agents, this new generation is kicking off with the immediate release of Gemini 3.5 Flash.
Here is a breakdown of everything you need to know about Google's strongest agentic and coding model yet, and how it can impact developers and enterprises.
Gemini 3.5 Flash is engineered to tackle complex, long-horizon tasks that deliver real-world utility without forcing you to trade quality for latency.
When it comes to speed, 3.5 Flash outputs tokens 4 times faster than other frontier models. It also significantly outperforms its predecessor, Gemini 3.1 Pro, across multiple challenging coding and agentic benchmarks:
For users eagerly awaiting the next tier, Google also noted that Gemini 3.5 Pro is currently in internal use and will roll out next month.
What used to take developers days or auditors weeks can now be completed by 3.5 Flash in a fraction of the time—and often at less than half the cost of other frontier models. It rapidly plans, builds, and iterates to solve real-world problems.
When paired with the Antigravity harness, an agent-first development platform, 3.5 Flash becomes a powerful engine capable of deploying collaborative subagents to reliably execute multi-step workflows, transform legacy codebases, and build applications at scale. Furthermore, building on the multimodal foundation of Gemini 3, 3.5 Flash can generate richer and more interactive web UIs and graphics.
Industry leaders are already leveraging 3.5 Flash to automate complex workflows and reduce toil:
Google also introduced Gemini Spark, a personal AI agent powered by 3.5 Flash. Designed to run 24/7, Gemini Spark helps you navigate your digital life and takes action on your behalf under your direction. The beta will start rolling out to Google AI Ultra subscribers in the US.
With great autonomy comes a need for robust security. Gemini 3.5 was developed following Google's Frontier Safety Framework. By implementing advanced safety training and new interpretability tools that check the AI's inner reasoning before it responds, Google has strengthened its cyber and CBRN (Chemical, Biological, Radiological, and Nuclear) safeguards. This makes the model less likely to generate harmful content or mistakenly refuse safe queries.
Gemini 3.5 Flash is generally available right now. You can access it through:
Ready to bring the power of Gemini 3.5 to your business?
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