This article critiques the use of structured outputs in large language models (LLMs), arguing that they often compromise response quality. The author provides examples, showing that structured outputs can lead to incorrect data extraction and limit reasoning capabilities compared to freeform text responses.

Gemini 3 is Google's latest AI model series focused on advanced reasoning and multimodal tasks. It includes different versions like Pro, Flash, and Pro Image, each tailored for specific needs. The article covers key features, API usage, pricing, and new parameters for controlling model behavior.

Google has launched an early preview of Gemini 2.5 Flash, enhancing reasoning capabilities while maintaining speed and cost efficiency. This hybrid reasoning model allows developers to control the thinking process and budget, resulting in improved performance for complex tasks. The model is now available through the Gemini API in Google AI Studio and Vertex AI, encouraging experimentation with its features.