Introduction

Speed and value at scale Ideal for tasks like summarization, chat applications, data extraction, and captioning. Thinking budget: Control how much 2.5 Flash reasons to balance latency and cost. Natively multimodal: Understands input across text, audio, images and video. Long context: Explore vast datasets with a 1-million token context window. Adaptive and budgeted thinking Adaptive controls and adjustable thinking budgets allow you to balance performance and cost. Calibrated: The model explores diverse thinking strategies, leading to more accurate and relevant outputs. Controllable: Developers have fine-grained control over the model's thinking process, allowing them to manage resource usage. Adaptive: When no thinking budget is set, the model assesses the complexity of a task and calibrates the amount of thinking accordingly.

Training