This item introduces the preview of the Gemini 3.1 Flash-Lite model on the Gemini API, offering a faster and more efficient option for developers.
- Developers
- You can now integrate a faster, more efficient AI model into your applications for improved performance and potentially lower costs.
Developers gain access to a faster, more efficient model variant for building responsive AI applications.
Pré-lançamento do Gemini 3.1 Flash-Lite | Gemini API
Spec sheet arrives with the next pipeline run. The source page has the details.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Google's Gemini API now offers a preview of the Gemini 3.1 Flash-Lite model. This model is designed for speed and efficiency, targeting developers who need fast inference for their applications. The announcement details licensing information for the content and code samples.
Google's Gemini API is offering a preview of the Gemini 3.1 Flash-Lite model. This model is designed to be very fast and efficient, which is helpful for developers who need quick AI responses in their applications.
Google introduces a faster, lighter model variant, Gemini 3.1 Flash-Lite, for developers. This move aims to provide more cost-effective and performant options for real-time AI applications. Developers can integrate this model for tasks requiring quick responses, potentially impacting areas like customer service bots or interactive content. This offers a new choice against competitors focused on larger, more powerful models, emphasizing speed and efficiency.
- Model Name: Gemini 3.1 Flash-Lite (Preview)
- API: Gemini API
- Content License: Creative Commons Attribution 4.0
- Code Sample License: Apache 2.0
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Questions people ask
- What is Gemini 3.1 Flash-Lite?
- Gemini 3.1 Flash-Lite is a preview model available through the Gemini API, designed for speed and efficiency in AI applications.
- What are the licensing terms?
- Content on the page is licensed under Creative Commons Attribution 4.0, and code samples use the Apache 2.0 License, according to Google Developers policies.
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Page generated Oct 19, 2026. Summaries are Subvolts' own; the story belongs to Gemini Models.





