Gemini 3.5 Flash (Batch) is a next-generation high-performance Flash series AI model developed by Google DeepMind, designed to balance speed, intelligence, and cost efficiency. As part of the Gemini 3.5 family, the model focuses on AI Agent capabilities, coding performance, multi-step reasoning, and long-running workflow execution.
Gemini 3.5 Flash supports up to a 1 million token context window and up to 65K output tokens, enabling it to process large documents, code repositories, complex project materials, and long-term task histories.
The model provides native multimodal capabilities, supporting inputs including text, images, videos, audio, and PDFs. It can be used for advanced information understanding, content analysis, intelligent search, enterprise knowledge processing, and multimodal AI application development.
Compared with previous Flash models, Gemini 3.5 Flash places greater emphasis on real-world production capabilities for AI Agent applications. It supports tool calling, code execution, function calling, structured output, file search, and search-enhanced generation, helping developers build smarter automation systems and intelligent applications.
The Batch version is optimized for large-scale AI request processing through batch inference, helping enterprises reduce AI costs while improving processing efficiency. It is suitable for data processing, content generation, enterprise automation, and AI workflow applications.
Gemini 3.5 Flash is positioned as a fast, intelligent, cost-efficient multimodal AI model designed for the AI Agent era, making it suitable for building next-generation assistants, automation systems, and enterprise AI applications.
Gemini 3.6 Flash
94 Google 新一代 Flash 系列模型，兼顾速度、智能与成本，专为 AI Agent、代码开发和多模态任务优化。
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