●SPARK — Gemini Spark, Google's agentic assistant, arrives in the Gemini app for macOS and works on tasks on your behalf●BRIEF — Daily Brief, powered by Personal Intelligence, distills priorities from Gmail and Calendar with suggested next steps●MODEL — Gemini 3.5 Flash reaches GA, offering faster, lower-cost AI with a 1M-token context window●GROWTH — The Gemini app has passed 900 million monthly active users, up from 400 million a year earlier●APPS — Spark now connects to Google Tasks and Google Keep and stays up to date on topics in real time●ENTERPRISE — Gemini 3.5 Flash is generally available across the Global, US, and EU regions on Gemini Enterprise●SPARK — Gemini Spark, Google's agentic assistant, arrives in the Gemini app for macOS and works on tasks on your behalf●BRIEF — Daily Brief, powered by Personal Intelligence, distills priorities from Gmail and Calendar with suggested next steps●MODEL — Gemini 3.5 Flash reaches GA, offering faster, lower-cost AI with a 1M-token context window●GROWTH — The Gemini app has passed 900 million monthly active users, up from 400 million a year earlier●APPS — Spark now connects to Google Tasks and Google Keep and stays up to date on topics in real time●ENTERPRISE — Gemini 3.5 Flash is generally available across the Global, US, and EU regions on Gemini Enterprise

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Gemini 2.5 Pro¹ Gemini API¹ cost management¹ usage_metadata¹

◈ Gemini API/2026-07-08Intermediate

When My Paid Gemini Chat Bill Came in at Double the Estimate — Field Notes on Per-Request Token Accounting to Plug the Cost Leaks

From a real overrun where my paid Gemini chat SaaS bill nearly doubled the estimate, here is how I logged token usage per request, traced where cost was leaking, and plugged three specific gaps. Recording usage_metadata and reconciling it against the invoice is the starting point.