Gemini 3.1 Flash-Lite: Built for intelligence at scale

Today, we're introducing Gemini 3.1 Flash-Lite, our fastest and most cost-efficient Gemini 3 series model. Built for high-volume developer workloads at scale, 3.1 Flash-Lite delivers high quality for its price and model tier. Starting today, 3.1 Flash-Lite is rolling out in preview to developers via the Gemini API in [Google AI Studio](https://aistudio.google.com/prompts/new_chat?model=gemini-3.1-flash-lite-preview) and for enterprises via [Vertex AI](https://console.cloud.google.com/vertex-ai/studio/multimodal?mode=prompt&model=gemini-3.1-flash-lite-preview). ## Cost-efficiency without compromise Priced at just $0.25/1M input tokens and $1.50/1M output tokens, 3.1 Flash-Lite delivers enhanced performance at a fraction of the cost of larger models. It outperforms 2.5 Flash with a 2.5X faster Time to First Answer Token and 45% increase in output speed, according to the [Artificial Analysis benchmark](https://artificialanalysis.ai/) while maintaining similar or better quality. This low latency is needed for high-frequency workflows, making it an ideal model for developers to build responsive, real-time experiences.  <video src="https://storage.googleapis.com/gweb-uniblog-publish-prod/original_videos/MMMU_v2.mp4#t=0.001"></video> <center><small>Gemini 3.1 Flash-Lite outperforms 2.5 Flash in speed and quality.</small></center> &nbsp; 3.1 Flash-Lite achieves an impressive Elo score of 1432 on the [Arena.ai Leaderboard](http://arena.ai/) and outperforms other models of similar tier across reasoning and multimodal understanding benchmarks, including 86.9% on GPQA Diamond and 76.8% on MMMU Pro–even surpassing larger Gemini models from prior generations like 2.5 Flash.  ## Adaptive intelligence at scale for developers Beyond its raw performance, Gemini 3.1 Flash-Lite comes standard with thinking levels in AI Studio and Vertex AI, giving developers the control and flexibility to select how much the model “thinks” for a task, which is critical for managing high-frequency workloads. 3.1 Flash-Lite can tackle tasks at scale, like high-volume translation and content moderation, where cost is a priority. And it can also handle more complex workloads where more in-depth reasoning is needed, like generating user interfaces and dashboards, creating simulations or following instructions. <video src="https://storage.googleapis.com/gweb-uniblog-publish-prod/original_videos/CategoryGeneration_v4.mp4#t=0.001"></video> <center><small>3.1 Flash-Lite instantly fills an e-commerce wireframe with hundreds of products in different categories.</small></center> --- <video src="https://storage.googleapis.com/gweb-uniblog-publish-prod/original_videos/WeatherDashboard_v5.mp4#t=0.001"></video> <center><small>3.1 Flash-Lite can <a href="https://aistudio.google.com/apps/bundled/weather_dashboard_agent">generate dynamic weather dashboards in real-time</a>, using live forecasts and historical data.</small></center> --- <video src="https://storage.googleapis.com/gweb-uniblog-publish-prod/original_videos/SaasReport_v3.mp4#t=0.001"></video> <center><small> 3.1 Flash-Lite creates a SaaS agent capable of <a href="https://aistudio.google.com/apps/bundled/versatile_execution_agent">executing versatile, multi-step tasks for a business</a>.</small></center> --- <video src="https://storage.googleapis.com/gweb-uniblog-publish-prod/original_videos/Photo_sorter_Demo_v2_1_small.mp4#t=0.001"></video> <center><small>3.1 Flash-Lite can analyze and sort large numbers of content like images quickly.</small></center> &nbsp; Early-access developers on AI Studio and Vertex AI, and companies like Latitude, Cartwheel and Whering are already using 3.1 Flash-Lite to solve complex problems at scale. Early testers highlighted 3.1 Flash-Lite’s efficiency and reasoning capabilities, saying it can handle complex inputs with the precision of a larger-tier model, plus follow instructions and maintain adherence.  ---  ---  ---  --- We look forward to seeing what you build with 3.1 Flash-Lite and the rest of the Gemini 3 series models.