
Today, we're introducing Gemini 3.1 Flash-Lite, our fastest and most cost-efficient Gemini 3 series...
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 and for enterprises via Vertex AI.
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 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>
3.1 Flash-Lite achieves an impressive Elo score of 1432 on the Arena.ai Leaderboard 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.

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>
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.
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