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从2026年10月9日起，Google Gemini将调整模型策略：免费个人用户将不再默认使用Flash或Pro模型，而是统一切换到更轻量的Flash-Lite；AI Plus订阅用户也将失去Pro模型的访问权限。
Google AI demonstrates Gemini 3.5 Flash-Lite processing over 1 million catalog images, extracting structured data with low latency and token efficiency for large-scale workflows.
A user tested Gemini-3.5-flash-lite on grading classwork and found it performed worse than its predecessor Gemini-2.5-flash-lite, suggesting newer models are not always better.
Gemini 3.5 Flash-Lite achieves improved long-context retrieval performance compared to its predecessor Gemini 3.1 Flash-Lite, as measured by the MRCRv2 benchmark.
Google announced Gemini 3.6 Flash with improved coding efficiency and lower token costs, alongside Gemini 3.5 Flash Lite and a cybersecurity-focused model, while still developing Gemini 3.5 Pro and hinting at Gemini 4.
DeepMind introduces Nano Banana 2 Lite, a fast and cost-efficient image generation model with low latency and high quality, enabling rapid iteration for designers and developers.
Google releases Gemini 3.1 Flash Lite for image generation (GA) and Gemini Omni Flash API preview for multi-turn conversational video editing at $0.10/sec.
Google releases Gemini 3.1 Flash-Lite, a lightweight version of the Gemini model designed for high-volume AI pipelines.
Google has made Gemini 3.1 Flash-Lite generally available, offering ultra-low latency and high-volume processing with multimodal capabilities, targeting enterprise applications.