GEMINI LABJP
SUNSET — gemini-robotics-er-1.6-preview shuts down on August 31. Twelve days out, there is not much room left to push the migration backMIGRATION — The replacement is Gemini Robotics ER 2, in public preview since July 30, with spatial reasoning, agentic code execution, and multi-step tool orchestrationPRICING — Gemini 3.7 Flash went GA on August 13 at $0.75 per million input tokens and $3.75 output, roughly half what Flash models have cost, holding through December 31, 2026PRICING — List prices double to $1.50 and $7.50 on January 1, 2027. Anything running across the new year deserves a two-stage estimate now rather than a surprise in JanuaryAVAILABILITY — Beyond the Gemini API and Google AI Studio, 3.7 Flash is live in Android Studio, Google Antigravity, and the Gemini Enterprise Agent PlatformDEPRECATION — The temperature, top_p, and top_k sampling parameters remain deprecated. If your code sets them explicitly, measure the output difference without them while there is still timeSUNSET — gemini-robotics-er-1.6-preview shuts down on August 31. Twelve days out, there is not much room left to push the migration backMIGRATION — The replacement is Gemini Robotics ER 2, in public preview since July 30, with spatial reasoning, agentic code execution, and multi-step tool orchestrationPRICING — Gemini 3.7 Flash went GA on August 13 at $0.75 per million input tokens and $3.75 output, roughly half what Flash models have cost, holding through December 31, 2026PRICING — List prices double to $1.50 and $7.50 on January 1, 2027. Anything running across the new year deserves a two-stage estimate now rather than a surprise in JanuaryAVAILABILITY — Beyond the Gemini API and Google AI Studio, 3.7 Flash is live in Android Studio, Google Antigravity, and the Gemini Enterprise Agent PlatformDEPRECATION — The temperature, top_p, and top_k sampling parameters remain deprecated. If your code sets them explicitly, measure the output difference without them while there is still time
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Gemini Basics/2026-06-22Intermediate

Putting Gemini image generation to work: from prompt design to thumbnails generated from video

A practical playbook for running Gemini image generation as a repeatable workflow instead of a lucky dip. From decomposing prompts into reproducible parts to the video-to-image automation unlocked by the Nano Banana 2 GA, with working code, a pre-publish quality gate, and a design that survives preview shutdowns.