token costs

Google has launched Gemini 3.6 Flash and 3.5 Flash-Lite, AI models designed to drastically cut latency and token costs for enterprise AI agents. Gemini 3.6 Flash optimizes coding and multimodal reasoning with reduced token output and improved benchmark scores. Gemini 3.5 Flash-Lite targets high-volume, low-latency tasks, offering extreme cost-efficiency. A specialized variant, Gemini 3.5 Flash Cyber, is available for government entities and partners for code vulnerability remediation. These models aim to enhance the economics and efficiency of deploying autonomous AI agents.

Payment software company Ramp has secured $750 million in funding, valuing it at $44 billion. The company helps businesses manage escalating AI expenses by optimizing spending on AI models and “tokens.” CEO Eric Glyman highlights that many CFOs are unprepared for these costs, and Ramp’s platform assists in routing tasks to more cost-effective AI solutions, demonstrating revenue growth for clients who prioritize efficient AI adoption.