Gemini 3.1 Flash-Lite: Built for intelligence at scale —…
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    Gemini 3.1 Flash-Lite: Built for intelligence at scale
    gemini

    Gemini 3.1 Flash-Lite: Built for intelligence at scale

    Alisa Fortin March 3, 2026
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    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.

    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 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.

    The image shows two bar charts titled "Speed & Cost Efficiency," comparing the "Output speed (higher is better)" and "Price (lower is better)" of Gemini 3.1 Flash-Lite against several other models, including Gemini 2.5 Flash-Lite, GPT-5 mini, Claude 4.5 Haiku, and Grok 4.1 Fast.

    <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.

    The image displays a comparison table of several AI models, including "Gemini 3.1 Flash-Lite," "Gemini 2.5 Dynamic," "Gemini 2.5 Flash-Lite," "GPT-5 mini," "Claude 4.5 Haiku," and "Grok 4.1 Fast," across various metrics such as input/output price, output speed, and different academic, reasoning, and factual benchmarks.

    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>

     

    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.

    Quote from Kolby Nottingham at Latitude regarding the instruction-following capabilities and speed of Google's model.





    We look forward to seeing what you build with 3.1 Flash-Lite and the rest of the Gemini 3 series models.

    Tags

    geminiaivertexai

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