●ARGON — gemini-4-argon is generally available as of 10/13, aimed at complex coding, agents, math and science●DEEP RES — deep-research-pro-preview-12-2025 shuts down today (10/23). Move to deep-research-preview-04-2026●NANO — gemini-nano-banana-2.1 is GA (10/06). gemini-3.1-flash-image is deprecated with no shutdown date yet●MCP — One write-up cut an 85,000-token tool result to 310 tokens by wrapping it in an ADK FunctionTool●FLASH — gemini-3.7-flash and 3.5-flash now route automatically to newer Flash models (10/08)●NEW — Stop Re-Reading Every Crash Report: Gre…●ARGON — gemini-4-argon is generally available as of 10/13, aimed at complex coding, agents, math and science●DEEP RES — deep-research-pro-preview-12-2025 shuts down today (10/23). Move to deep-research-preview-04-2026●NANO — gemini-nano-banana-2.1 is GA (10/06). gemini-3.1-flash-image is deprecated with no shutdown date yet●MCP — One write-up cut an 85,000-token tool result to 310 tokens by wrapping it in an ADK FunctionTool●FLASH — gemini-3.7-flash and 3.5-flash now route automatically to newer Flash models (10/08)●NEW — Stop Re-Reading Every Crash Report: Gre…

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gemini-api¹ embedding¹ cost-optimization¹ production¹

◈ Gemini API/2026-05-25Advanced

Designing a Semantic Cache for the Gemini API — Embedding-based Answer Caching That Actually Pays for Itself

A practical design for a semantic cache that sits in front of the Gemini API. Combines text-embedding-004, cosine similarity thresholds, versioned cache keys, and TTL design to balance hit rate and answer quality, with Python and Cloudflare Vectorize code that runs in production.