Gemini 3.5 Flash: Features, Capabilities, and How to Use It

Gemini 3.5 Flash is Google's fast, low-cost AI model built for agents, coding, and everyday multimodal tasks. Google introduced it in May 2026 as the first release in the Gemini 3.5 family, and it now runs by default inside the Gemini app, AI Mode in Google Search, and Google's Antigravity development platform. Unlike earlier Flash-tier models that traded intelligence for speed, Gemini 3.5 Flash is built to handle long, multi-step tasks while staying fast enough for high-volume, everyday use. Here's what it actually does, how it compares to other Gemini models, and how you can try it, including through Chat Smith, which puts Gemini 3.5 Flash alongside GPT, Claude, and Grok in one chat.

Gemini 3.5 Flash is part of the Gemini 3.5 family Google describes as frontier intelligence with action. It shipped ahead of the delayed Gemini 3.5 Pro, making it the first real look at what the new generation can do. Where Gemini 3 Flash focused on quick, everyday answers, Gemini 3.5 Flash is built around agentic workloads, tasks that require planning, tool use, and multiple steps rather than a single reply.

Google made Gemini 3.5 Flash the default model across the Gemini app and AI Mode in Search, and it also powers Gemini Spark, Google's personal AI agent that can take action on a user's behalf. For developers, it's available through the Gemini API in Google AI Studio, inside Android Studio, and on Google's agent-first Antigravity platform, plus Gemini Enterprise for business teams.

A few things set Gemini 3.5 Flash apart from earlier Flash-tier releases:

Gemini 3.5 Flash is designed for long-horizon work, the kind of multi-step job where an AI agent has to plan, call tools, check its own output, and adjust along the way. Google positions this as the model's main upgrade over prior Flash releases, which were tuned mostly for fast, single-turn responses.

Despite sitting in the Flash tier, Google says Gemini 3.5 Flash rivals larger flagship models on several benchmarks while keeping the low latency and lower cost the Flash line is known for. That trade-off is why Google chose it as the default model for hundreds of millions of Gemini app users instead of reserving frontier performance for a Pro-only tier.

Like other Gemini models, Gemini 3.5 Flash handles text, images, audio, and video in the same conversation. It can review a photo, a short clip, or a voice note alongside written instructions and reason across all of them without switching tools.

Gemini 3.5 Flash rolled out broadly from day one: in the consumer Gemini app and AI Mode in Search, through the Gemini API in Google AI Studio, inside Android Studio, on Google's Antigravity platform, and in Gemini Enterprise for business deployments.

Here's roughly where Gemini 3.5 Flash sits next to its closest siblings in the lineup:

Chat Smith gives you conversational access to Gemini 3.5 Flash, alongside other leading models like Claude Sonnet 5 and GPT-5, in a single chat interface, so you can compare how each handles the same task before committing to a workflow.

This is especially useful when you're deciding whether an agentic model like Gemini 3.5 Flash fits a specific job, such as AI content generation or research summarization. Run the same prompt across a few models, or check the full model lineup, and see the differences in a few minutes without juggling separate logins or API keys.

Gemini 3.5 Flash shows where Google is taking the Gemini lineup: less about a single perfect reply, more about handling the multi-step, tool-using work that AI agents need to get real tasks done, without the cost and latency of a full Pro-tier model. Whether you access it directly through Google's own tools or want to line it up against GPT, Claude, and Grok, Chat Smith makes it easy to put Gemini 3.5 Flash to work today.