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●PRICE — Gemini 3.6 Flash consumes about 17% fewer output tokens and costs less at $1.50 per 1M input and $7.50 per 1M output, against $9 output for 3.5 Flash●LITE — Gemini 3.5 Flash-Lite targets high-throughput work at $0.3 per million input tokens●CYBER — Gemini 3.5 Flash Cyber powers vulnerability detection and patching inside Google's CodeMender agent●GEMINI4 — Google says it has already begun its most ambitious pre-training run yet, for Gemini 4, even as 3.5 Pro slips●SUNSET — The Imagen 4 and Gemini 3 Image generation models shut down on August 17, 2026, so integrations need moving to newer stable or preview endpoints●STUDIO — Gemini Omni Flash is available in Google AI Studio for the first time, putting cost-efficient video generation and conversational editing within reach●PRICE — Gemini 3.6 Flash consumes about 17% fewer output tokens and costs less at $1.50 per 1M input and $7.50 per 1M output, against $9 output for 3.5 Flash●LITE — Gemini 3.5 Flash-Lite targets high-throughput work at $0.3 per million input tokens●CYBER — Gemini 3.5 Flash Cyber powers vulnerability detection and patching inside Google's CodeMender agent●GEMINI4 — Google says it has already begun its most ambitious pre-training run yet, for Gemini 4, even as 3.5 Pro slips●SUNSET — The Imagen 4 and Gemini 3 Image generation models shut down on August 17, 2026, so integrations need moving to newer stable or preview endpoints●STUDIO — Gemini Omni Flash is available in Google AI Studio for the first time, putting cost-efficient video generation and conversational editing within reach
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model management

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⬡ Gemini Advanced/2026-07-28Advanced

When Version Numbers Stopped Meaning Generations: Rebuilding Cost Attribution That Parsed Model IDs

A regex that derived generation and tier from Gemini model IDs broke quietly once Flash reached 3.6 while the top Pro stayed at 3.5. Here are the runnable probes, the attribution gap between regex-derived and registry-joined rollups, and the redesign that treats model IDs as opaque keys.

◈ Gemini API/2026-06-14Advanced

Keeping Gemini API's Default-Model Shift From Becoming an Incident — Pinning Model IDs and Detecting Silent Upgrades in Production

When the default model quietly moves up, your output length, reasoning behavior, and cost change with zero code edits. This guide shows how to pin model IDs in a single source of truth and verify the effective model from the response to detect default changes.