●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

TAG

model-name

2 articles

← Back to all tags

gemini-api² troubleshooting² google-ai-studio¹ instrumentation¹ safety-filter¹ error¹ gemini-2.5-pro¹ generativelanguage¹

◈ Gemini API/2026-07-01Advanced

When a Prompt That Worked in AI Studio Quietly Breaks Over the API — Field Notes on Measuring the Difference

A prompt that behaves perfectly in AI Studio returns an empty string or a 404 the moment you call the Gemini API from your own code. Instead of eyeballing the two, here is a small harness that records the config diff plus finish_reason, token usage, and the model name the server actually resolved — so you can isolate the cause by layer.

◈ Gemini API/2026-04-12Beginner

Fixing Gemini API 'Model Not Found' Errors: A Complete 2026 Guide

Getting a 'model not found' or INVALID_ARGUMENT error in the Gemini API? This guide explains every cause and fix, including correct model names for 2026 and how to use generativelanguage.googleapis.com properly.