Google has launched Gemini 3.5 Flash with an argument few companies can ignore: massive savings in time and money. In agentic and coding tasks, it completes in hours what previously took days. The company tested it internally on its Antigravity platform, processing over 3 trillion tokens daily, and the result is an efficient model for jobs that don't require the most powerful engine.
Technical efficiency with cost impact 💰
The leap from the previous generation is noticeable in the ability to handle complex workloads without saturating resources. Google claims that companies transferring their main workload to this model could save over $1 billion per year. Shopify already uses it for growth forecast analysis, leveraging its speed to process data without relying on heavier models. The key lies in segmenting tasks: using intelligence only when necessary.
The million-dollar savings that will make your CFO happy 😏
That Google calculated savings of $1 billion sounds like a PowerPoint figure for investors, but if Shopify uses it, there must be some truth to it. Meanwhile, developers who previously waited days for an analysis now have it in hours, and bosses can dedicate that time to creating more meetings. In the end, everyone is happy: the AI works, the company saves, and the CFO smiles. Ironies of progress.