Google has announced three new artificial intelligence models - Gemini 3.6 Flash, Gemini 3.5 Flash-Lite and Gemini 3.5 Flash Cyber - aimed at improving coding, AI agent performance and security analysis while reducing token consumption and accelerating processing speeds. The flagship Gemini 3.6 Flash builds on the capabilities of Gemini 3.5 Flash, offering improved coding performance, stronger research capabilities and faster multi-step reasoning. Google said the model reduces token usage by 17%, helping developers lower operating costs while maintaining high performance.
The model is priced at US$1.50 per one million input tokens and US$7.50 per one million output tokens (1 token = US$0.00012067). Google said benchmark tests show Gemini 3.6 Flash outperforms Gemini 3.5 Flash in several areas, including coding, AI agent tasks, computer control and knowledge-based research, providing a better balance of speed, accuracy and efficiency for complex workloads.
Google also introduced Gemini 3.5 Flash-Lite, a lightweight model designed for maximum processing speed and efficient token usage. The model is intended for search, large-scale data processing and AI agent applications. (continues below)
