Gemini 2.5 Flash (Reasoning) is a lightweight multimodal language model developed by Google, designed to provide advanced logical processing within a high-speed, cost-efficient framework. It belongs to the Gemini 2.5 series and is specifically distinguished by its adaptive thinking capabilities, which allow the model to engage in an internal chain-of-thought process before outputting a final response. This architecture is designed to improve accuracy on complex tasks such as mathematical deduction, code generation, and scientific analysis.
The model features a context window of 1 million tokens and supports multiple input modalities, including text, audio, images, and video. A key feature is the controllable thinking budget, which allows developers to allocate a specific token count (up to 24,576 tokens) for the model's internal reasoning phase. This allows the system to adapt its computational effort based on task complexity, optimizing for either immediate responses or deep logical processing.
With a parameter size of approximately 5 billion, Gemini 2.5 Flash (Reasoning) is optimized for efficiency and low-latency environments. It utilizes techniques such as pruning and quantization to maintain a small memory footprint while delivering reasoning capabilities previously associated with much larger architectures. The model is intended for applications requiring a balance of reasoning depth and operational speed.