Gemini 3.6 Flash (batch)

Gemini 3.6 Flash (Batch) is a high-efficiency AI model from Google DeepMind, designed for developers and enterprises that need fast processing, advanced reasoning, multimodal understanding, and large-scale automated workflows.
Built on Google’s Gemini Flash architecture, the model delivers strong performance for coding, knowledge-intensive tasks, AI Agent workflows, and multimodal applications, while maintaining the speed and cost advantages of the Flash series.
The Batch version is optimized for asynchronous high-volume processing, making it suitable for handling large amounts of data, documents, analysis requests, and automated AI tasks at a lower operational cost.
Gemini 3.6 Flash supports text, image, video, audio, and PDF inputs, allowing users to build advanced AI applications across multiple data formats. It supports features such as function calling, structured outputs, code execution, search grounding, file search, and URL context.
With support for up to 1M input tokens and 65K output tokens, Gemini 3.6 Flash can process long documents, complex codebases, enterprise knowledge systems, and extended AI workflows.
Compared with previous Flash models, Gemini 3.6 Flash focuses on improving token efficiency, coding performance, reasoning quality, and agent execution, making it suitable for production-level AI applications.