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Google unveils AI model Gemini 3.5 and AI agent Gemini Spark
Sundar Pichai, chief executive officer of Alphabet Inc., during the Google I/O Developers Conference in Mountain View, California, US, on Tuesday, May 19, 2026.David Paul Morris | Bloomberg | Getty ImagesGoogle is rolling out its latest version of Gemini and a new artificial intelligence model designed to simulate the physical world, as the search giant races to keep pace in model development while also providing more agentic services to its massive user base. The company made the announcements at its annual Google I/O developer conference on Tuesday, gaining an audience for new product debuts at a time when the market has been focused on the soaring valuations of OpenAI and Anthropic, which are both gearing up for IPOs as soon as this year. The centerpiece of Google's AI strategy is Gemini, its family of models and tools. The company is showcasing Gemini 3.5 Flash, a lighter-weight addition to its suite that offers cutting-edge capabilities at half, or in some cases close to one-third, the price of comparable frontier models, according to CEO Sundar Pichai. In a news briefing with reporters ahead of Tuesday's event, Pichai said Gemini 3.5 Flash is "remarkably fast." The company said 3.5 Flash will now be the default model for the Gemini app and AI mode in search globally."You no longer have to trade quality for latency," Google said in a blog post. The company said that it's strengthened the cybersecurity defenses for Gemini 3.5 Flash, so it's "less likely to generate harmful content and mistakenly refuse to answer safe queries."Google said Gemini 3.5 Pro, its heavier-weight version, is being used internally, but won't be ready for wider distribution until next month. On the agentic AI front, Google announced Gemini Spark, a new general purpose AI agent in the Gemini app that can reason across information in connected apps. Google said it wants to help users navigate their digital lives by taking "action on your behalf while under your direction." Gemini Spark is in beta and will be available first to trusted testers and Google AI Ultra subscribers, starting next week. With more internet users gravitating to chatbots, Google is trying to convince traditional search users that it can be trusted to help them with tasks involving minimal input. Following the company's skyrocketing capital spending, Wall Street is looking for Google to show it can create deeper integrations across its products, and agents could be a way to do that.Expectations for AI companie...
With Gemini 3.5 Flash, Google bets its next AI wave on agents, not ...
Google launched on Tuesday Gemini 3.5 Flash, a new AI model that the company says is its strongest yet for coding and autonomous AI agents. The model, which was introduced at the company’s annual I/O developer conference, can independently execute coding pipelines, manage research projects, and, in internal tests, build an operating system entirely from scratch. The release signals Google’s shift from pitching AI as a conversational tool to AI as an agentic tool. It’s not just answering questions, but planning, building, and iterating on real work with minimal human input. “3.5 Flash offers an incredible combination of quality and low latency,” Koray Kavukcuoglu, DeepMind’s chief technologist, told reporters on Monday ahead of the public launch. “It outperforms our latest frontier model, 3.1 Pro, on nearly all the benchmarks,” including coding, agentic tasks, and multimodal reasoning. He added that it is four times faster than other frontier models, a speed that’s ideal for coding and agentic tasks, but that Google has “taken it to another level” by developing an optimized version of Flash that’s 12 times faster with the same quality. That speed is central to Flash’s design for agentic work, where multiple AI agents run at the same time on long-running tasks, according to Kavukcuoglu. On stage at I/O, Google engineer Varun Mohan, demonstrated agents spawning off to work on separate components before coming together to build a full operating system inside Antigravity, the company’s agentic development platform and IDE. Image Credits:Google Kavukcuoglu said Flash 3.5 was co-developed with Antigravity so that agents could have a “native environment where they can live, work, and execute.” At I/O, Google released Antigravity 2.0, a standalone desktop application designed around agent-first development. The gains are showing up beyond demos. Google says 3.5 Flash’s agentic capabilities are already creating impact among partners, like banks and fintechs automating multi-week workflows, or data science teams finding insights in complex data environments. The model can run autonomously for multiple hours, though Tulsee Doshi, Google’s senior director and head of product, said it will at times pause and ask for user input when it hits a decision point or permission issue that requires human judgment. When Google releases its forthcoming 3.5 Pro model, the two are designed to work in tandem. “3.5 Pro becomes your orchestrator, your planner, and then it ac...
Gemini 3.5 Flash - Model Card — Google DeepMind
Gemini 3.5 Flash was evaluated across a range of benchmarks, including reasoning, coding, agentic tool use, multimodal capabilities, multi-lingual performance, and long-context.
Gemini 3.5 Flash Boosts Agents and Coding | AI News Detail
According to GoogleDeepMind, Gemini 3.5 Flash debuts as its strongest model for agents and coding, combining frontier intelligence with real‑world action. Google DeepMind recently announced Gemini 3.5, its newest family of AI models designed to merge advanced frontier intelligence with practical ...
