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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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◈ Gemini API/2026-06-14Advanced

How a Deep Think Verification Step Tripled My API Bill, and How thinking_level Got It Back

After wiring API-accessible Gemini 3 Deep Think into my output-verification step, my projected monthly cost jumped roughly 3x. Here is the implementation record of capping it with thinking_level and a cost guardrail, then settling on a two-stage design with Flash.

⬡ Gemini Advanced/2026-05-05Intermediate

Gemini 3 Deep Think Not Working as Expected: 5 Common Issues and Fixes

Troubleshoot Gemini 3 Deep Think mode issues systematically. From API misconfiguration and timeouts to unexpected costs and missing thought summaries — 5 real-world problems with working code fixes.

◎ Updates/2026-04-09Intermediate

Gemini 2.5 Pro Deep Think Guide: How Parallel Reasoning AI Surpassed o3 in Math and Coding

Discover how Google's new 'Deep Think' mode in Gemini 2.5 Pro works and why it achieves 49.4% on USAMO (compared to o3's 19.1%). Learn the parallel reasoning technology behind this breakthrough, explore real-world benchmarks, and master practical usage in Google AI Studio.

⬡ Gemini Advanced/2026-03-25Advanced

Gemini 3 Deep Think in Production: Advanced Reasoning Patterns & Optimization

Master production deployment of Gemini 3's Deep Think feature. Learn parallel reasoning flows, research applications, multi-step chains, and cost optimization strategies for AI Ultra subscribers.