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●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20●NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaply●OMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflows●AGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactions●MEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuously●THROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and region●DEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20
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wallpaper app

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Gemini API2Gemini 3 Pro1Gemini 2.5 Pro1Indie Developer1Model Selection1AdMob1Files API1Cloudflare R21indie developer1image processing1Vision API1Image Classification1
⬡ Gemini Advanced/2026-05-28Intermediate

Three Weeks of Running Gemini 3 Pro and 2.5 Pro Side by Side on Wallpaper Category Classification — An Implementation Memo

Notes from running Gemini 3 Pro and 2.5 Pro in parallel for three weeks on the image classification pipeline of my iOS and Android wallpaper apps — cost, accuracy, and latency observations from an indie developer.

◈ Gemini API/2026-05-19Advanced

Designing an Image Pipeline with Gemini Files API and Cloudflare R2 — Notes from Running a Wallpaper App

Notes from rebuilding the image processing pipeline of a wallpaper app around Gemini Files API and Cloudflare R2. Covers the 48-hour TTL, idempotent retries, and cost monitoring, with implementation code and 30 days of numbers.

◈ Gemini API/2026-05-03Intermediate

Auto-Categorizing 3,000 Wallpaper Images With Gemini Vision API — A Real Production Account

Manually categorizing thousands of wallpaper images doesn't scale. This is a hands-on account of building an auto-classification pipeline with Gemini Vision API — covering design, implementation, actual cost, and the failure patterns I hit running 3,000 images through it.