Google Introduces Gemini 3.6 Flash, Flash-Lite, and Flash Cyber, 3.5 Pro Still Missing

Google today introduced Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber, three new AI models focused on speed, efficiency, and specialized security workloads. Missing from the launch was the long-awaited Gemini 3.5 Pro, leaving the flagship model's release timeline uncertain.



The workhorse Gemini 3.6 Flash replaces the earlier Gemini 3.5 Flash and delivers better coding, knowledge work, and multimodal reasoning while consuming 17% fewer output tokens, according to the Artificial Analysis Index. Google says the improvements lower both output token costs and the overall cost of running agentic tasks. On the DeepSWE coding benchmark it scores 49%, up from 37% for 3.5 Flash, and its computer-use capabilities have also improved. The model includes enhanced safeguards against cyber and chemical, biological, radiological, and nuclear (CBRN) misuse and is available now through the Gemini API, Google AI Studio, the Gemini app, and enterprise platforms.


Designed for high-throughput workloads, Gemini 3.5 Flash-Lite is the fastest model in the family, delivering 350 output tokens per second at $0.30 per million input tokens. It significantly outperforms 3.1 Flash-Lite on agentic and coding evaluations and even surpasses the original Gemini 3 Flash on benchmarks including SWE-Bench Pro and OSWorld-Verified.

Gemini 3.5 Flash Cyber is a fine-tuned version of 3.5 Flash designed to find and fix software vulnerabilities. It will be available only to governments and trusted partners through a limited-access CodeMender pilot program.

Missing from the lineup is Gemini 3.5 Pro. Google said in May that the Pro version was already in internal use and would ship the following month. Product lead Logan Kilpatrick said the model is currently being tested with partners and should "land soon," while Bloomberg recently reported that meeting internal performance targets has been a challenge. Google also disclosed that it has started its most ambitious pre-training run yet for Gemini 4.

The continued delay could also matter for Apple, which uses Google's Gemini models to power parts of Siri in iOS 27 through a partnership between the two companies.