Hands on with Gemini 3.7 Flash

Enterprises are increasingly choosing cheaper, faster AI models for high-volume workflows, using them alongside top-tier systems to cut costs, reduce latency and scale multi-agent automation. Cost becomes a core buying criterion Companies deploying AI at scale are treating model selection as an economic decision as much as a technical one. The focus is shifting from simply using the most advanced model available to finding a minimum viable model that delivers reliable accuracy at the lowest possible cost and with the fastest response times. Lower token prices can free budget for additional products, experiments and automation.

Sources from the briefing

• Hands on with Gemini 3.7 FlashGoogle for Developers