Before One Runaway Experiment Drains the Shared Budget: Using AI Studio Spend Caps as Isolation Walls
When you run several Gemini experiments under one billing account, a single runaway loop takes everything else down with it. Here is how I use AI Studio's per-project spend caps as isolation walls, plus a client-side soft ceiling and monthly reconciliation, with working code.
Setting a Token Budget Per Free User: Balancing AdMob Revenue Against AI Feature Cost
Rate limits protect requests per minute. They do nothing for the invoice that arrives at the end of the month. Here is how I derive a per-user token budget from ad revenue, keep the ledger inside a single call wrapper, degrade gracefully at a soft cap, and detect abuse with one concentration ratio.
A Promotion Gate So gemini-flash-latest Flipping to 3.5 Flash Doesn't Break Your Pipeline at 3 AM
Floating aliases like gemini-flash-latest swap their target on every GA, quietly shifting the assumptions your unattended automation depends on. Here is a role-to-pinned-ID indirection layer, an acceptance harness that measures four metrics against your own golden set, and threshold-driven promotion and automatic rollback — with working code.
Track Gemini API Costs in Production with usageMetadata — A Per-Request Logging Pattern That Reconciles With Your Bill
A production pattern for capturing Gemini API's usageMetadata per request to attribute spend by endpoint, user, and model — hardened for the 3.5 Flash GA era where the default model can shift under you. Covers pricing keyed on resp.model_version and a nightly audit that flags model drift and unknown models before the invoice does.
Your Managed Agents Bill Has a Second Axis: Drawing a Budget Boundary Around Sandbox Runtime
Managed Agents in public preview bills for tokens and for how long its Google-hosted sandbox stays alive. A single hung run quietly drains your budget on that second axis. Here is a working Python design for wall-clock caps, idle teardown, and a concurrency ceiling.
Measuring the Economics of Each Gemini-Powered Feature — So You Can Keep It, Fix It, or Retire It
Gemini API costs are visible at the account level, but the profitability of an individual feature never shows up on its own. This guide shows how to tag every request, build a per-feature cost ledger, join it with revenue signals from AdMob and in-app purchases to compute contribution margin, and decide whether to keep, fix, or retire each feature — with the code I actually run.
Why count_tokens Lies: 5 Reasons Your Gemini API Bill Is Higher Than You Estimated — A Reconciliation Playbook
count_tokens said 1,200 tokens. Cloud Console billed you for 4,800. I made the same mistake building my first indie app on Gemini. This guide walks through the five hidden contributors — thinking, tools, multimodal, history, caching — and how to reconcile them with reproducible code.
Gemini API Pricing & Billing [2026]: From Free Tier to Token Costs Explained
A clear breakdown of Gemini API pricing in 2026 — free tier limits, token-based billing, model cost comparisons, usage estimation, and spend cap setup to keep your costs under control.