Gemini 3.1 Flash Lite (batch)

Gemini 3.1 Flash-Lite (Batch) is a next-generation lightweight, high-performance AI model developed by Google DeepMind. As part of the Gemini 3 Flash-Lite family, it is designed for fast response, low-cost operation, and large-scale AI workloads.
Compared with the higher-performance Gemini Pro series, Gemini 3.1 Flash-Lite focuses on efficiency, speed, and cost optimization, making it ideal for applications that require high request volumes, low latency, and scalable AI services.
The model supports a maximum 1,048,576-token context window (approximately 1 million tokens) and up to 65,536 output tokens, enabling efficient processing of long documents, data files, code repositories, and complex information extraction tasks.
Gemini 3.1 Flash-Lite is a native multimodal AI model capable of understanding text, images, videos, audio, and PDFs. It can be used for content understanding, translation, classification, document analysis, intelligent search, and automated workflows.
Optimized for high-frequency AI workloads, the model delivers strong performance for AI Agent workflows, data extraction, content analysis, business automation, and enterprise AI applications.
The Batch version is optimized for large-scale asynchronous AI processing, allowing organizations to handle high-volume AI requests more efficiently while reducing operational costs. It is suitable for background processing, batch generation, and automated business workflows.
Gemini 3.1 Flash-Lite is positioned as a fast, affordable, and efficient enterprise AI model for developers and organizations building scalable AI applications.