Google's Gemini 3.6 Flash model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way

Google DeepMind has introduced three new AI models designed to enhance efficiency and reduce costs for large-scale AI applications. Gemini 3.6 Flash stands out by slashing token costs by up to 65% for complex, long-term tasks, which is a game changer for industries like engineering. This move not only promises to make AI more accessible but also positions Google to lead in the race for cost-effective, high-performance AI solutions. Meanwhile, the upcoming Gemini 3.5 Pro aims to build on this success, suggesting a strategic push towards even greater efficiency and affordability in AI technology.