◉GEMINI LABJP
●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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◈ Gemini API/2026-06-14Advanced

Controlling Image Tokens with the Gemini API media_resolution Setting — Tuning Batch Image Classification by Measurement

media_resolution, introduced in the Gemini 3 line, switches how many tokens an image input consumes across three levels. Through real batch-classification measurements, this guide shows how to balance cost and accuracy by assigning the right tier per task.

◈ Gemini API/2026-04-13Advanced

Gemini API Multimodal Input Optimization — Production Techniques to Cut Token Costs for Images, PDFs, Video, and Audio

Cut your Gemini API multimodal token costs by up to 70% in production. Practical optimization techniques for images, PDFs, video, and audio with working Python code examples.

◈ Gemini API/2026-04-01Beginner

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.

◈ Gemini API/2026-03-14Intermediate

Estimating Gemini API Costs Before You Send — count_tokens in Practice

Use Gemini's free count_tokens call to measure input tokens and costs before each request, then cut spend with caching and model selection.