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URLhttps://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/
Last Crawled2026-04-20 13:55:16 (4 hours ago)
First Indexed2026-03-03 16:42:09 (1 month ago)
HTTP Status Code200
Meta TitleGemini 3.1 Flash Lite: Our most cost-effective AI model yet
Meta DescriptionGemini 3.1 Flash-Lite is our fastest and most cost-efficient Gemini 3 series model yet.
Meta Canonicalnull
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Mar 03, 2026 8 min read Get best-in-class intelligence for your highest-volume workloads. General summary Gemini 3.1 Flash-Lite is now available in preview to developers via the Gemini API in Google AI Studio and for enterprises via Vertex AI. Priced at $0.25/1M input tokens and $1.50/1M output tokens, it's cost-efficient and faster than 2.5 Flash. Use 3.1 Flash-Lite for tasks like translation content moderation generating user interfaces and creating simulations. Summaries were generated by Google AI. Generative AI is experimental. Basic explainer Google made a new AI model called Gemini 3.1 Flash-Lite. It's super fast and cheap to use, so more people can use it. This AI is good at things like translating languages and checking content. Some companies are already using it to solve tough problems because it's both smart and efficient. Summaries were generated by Google AI. Generative AI is experimental. Your browser does not support the audio element. Listen to article This content is generated by Google AI. Generative AI is experimental [[duration]] minutes 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. Gemini 3.1 Flash-Lite outperforms 2.5 Flash in speed and quality. 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. 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. 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. Get more stories from Google in your inbox. Done. Just one step more. Check your inbox to confirm your subscription. You are already subscribed to our newsletter. You can also subscribe with a Related stories .
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[Skip to main content](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/#jump-content) [The Keyword](https://blog.google/) Gemini 3.1 Flash-Lite: Built for intelligence at scale [Share]() [x.com](https://twitter.com/intent/tweet?text=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale%20%40google&url=https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/) [Facebook](https://www.facebook.com/sharer/sharer.php?caption=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale&u=https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/) [LinkedIn](https://www.linkedin.com/shareArticle?mini=true&url=https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/&title=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale) [Mail](<mailto:?subject=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale&body=Check out this article on the Keyword:%0A%0AGemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale%0A%0AGemini 3.1 Flash-Lite is our fastest and most cost-efficient Gemini 3 series model yet.%0A%0Ahttps://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/>) Copy link - 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[Gemini Models](https://blog.google/innovation-and-ai/models-and-research/gemini-models/) # Gemini 3.1 Flash-Lite: Built for intelligence at scale Mar 03, 2026 · 8 min read [Share]() [x.com](https://twitter.com/intent/tweet?text=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale%20%40google&url=https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/) [Facebook](https://www.facebook.com/sharer/sharer.php?caption=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale&u=https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/) [LinkedIn](https://www.linkedin.com/shareArticle?mini=true&url=https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/&title=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale) [Mail](<mailto:?subject=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale&body=Check out this article on the Keyword:%0A%0AGemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale%0A%0AGemini 3.1 Flash-Lite is our fastest and most cost-efficient Gemini 3 series model yet.%0A%0Ahttps://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/>) Copy link Get best-in-class intelligence for your highest-volume workloads. T The Gemini Team Read AI-generated summary ## General summary Gemini 3.1 Flash-Lite is now available in preview to developers via the Gemini API in Google AI Studio and for enterprises via Vertex AI. Priced at \$0.25/1M input tokens and \$1.50/1M output tokens, it's cost-efficient and faster than 2.5 Flash. Use 3.1 Flash-Lite for tasks like translation content moderation generating user interfaces and creating simulations. Summaries were generated by Google AI. Generative AI is experimental. ## Basic explainer Google made a new AI model called Gemini 3.1 Flash-Lite. It's super fast and cheap to use, so more people can use it. This AI is good at things like translating languages and checking content. Some companies are already using it to solve tough problems because it's both smart and efficient. Summaries were generated by Google AI. Generative AI is experimental. #### Explore other styles: - General summary - Basic explainer [Share]() [x.com](https://twitter.com/intent/tweet?text=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale%20%40google&url=https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/) [Facebook](https://www.facebook.com/sharer/sharer.php?caption=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale&u=https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/) [LinkedIn](https://www.linkedin.com/shareArticle?mini=true&url=https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/&title=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale) [Mail](<mailto:?subject=Gemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale&body=Check out this article on the Keyword:%0A%0AGemini%203.1%20Flash-Lite%3A%20Built%20for%20intelligence%20at%20scale%0A%0AGemini 3.1 Flash-Lite is our fastest and most cost-efficient Gemini 3 series model yet.%0A%0Ahttps://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/>) Copy link ![Gemini 3.1 Flash Lite logo](https://storage.googleapis.com/gweb-uniblog-publish-prod/images/gemini-3.1_flash_Lite_blog_keywor.width-200.format-webp.webp) Your browser does not support the audio element. Listen to article This content is generated by Google AI. Generative AI is experimental \[\[duration\]\] minutes Voice Umbriel Speed 1X Voice Umbriel Gacrux Speed 0\.75X 1X 1\.5X 2X 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. [![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.](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/gemini-3.1_speed-cost_chart_1.gif)](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/gemini-3.1-flash-lite-table_1.gif) Sorry, your browser doesn't support embedded videos, but don't worry, you can [download it](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_videos/MMMU_v2.mp4) and watch it with your favorite video player\! Gemini 3.1 Flash-Lite outperforms 2.5 Flash in speed and quality. 3\.1 Flash-Lite achieves an impressive Elo score of 1432 on the [Arena.ai Leaderboard](http://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.](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/gemini-3.1-flash-lite-table_1.gif)](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/gemini-3.1-flash-lite-table_1.gif) ## 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. Sorry, your browser doesn't support embedded videos, but don't worry, you can [download it](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_videos/CategoryGeneration_v4.mp4) and watch it with your favorite video player\! Read more 3\.1 Flash-Lite [instantly fills an e-commerce wireframe with hundreds](https://aistudio.google.com/apps/bundled/category_generator) of products in different categories. Sorry, your browser doesn't support embedded videos, but don't worry, you can [download it](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_videos/WeatherDashboard_v5.mp4) and watch it with your favorite video player\! Read more 3\.1 Flash-Lite can [generate dynamic weather dashboards in real-time](https://aistudio.google.com/apps/bundled/weather_dashboard_agent), using live forecasts and historical data. Sorry, your browser doesn't support embedded videos, but don't worry, you can [download it](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_videos/SaasReport_v3.mp4) and watch it with your favorite video player\! Read more 3\.1 Flash-Lite creates a SaaS agent capable of [executing versatile, multi-step tasks for a business](https://aistudio.google.com/apps/bundled/versatile_execution_agent). Sorry, your browser doesn't support embedded videos, but don't worry, you can [download it](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_videos/Photo_sorter_Demo_v2_1_small.mp4) and watch it with your favorite video player\! Read more 3\.1 Flash-Lite can analyze and sort large numbers of content like images quickly. Jump to position 1 Jump to position 2 Jump to position 3 Jump to position 4 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.](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/3Flash-Lite_Blog_Quote_1.png) ![Quote from Andrew Carr at Cartwheel highlighting the speed and multimodal labeling capabilities of 3.1 Flash-Lite.2](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/3Flash-Lite_Blog_Quote_2.png) ![Quote from Bianca Rangecroft at Whering about using 3.1 Flash-Lite for consistent item tagging and data labeling](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/3Flash-Lite_Blog_Quote_3.png) ![Quote from Kaan Ortabas at HubX detailing the performance metrics and cost efficiency of Gemini 3.1 Flash-Lite.](https://storage.googleapis.com/gweb-uniblog-publish-prod/original_images/3Flash-Lite_Blog_Quote_4.png) Jump to position 1 Jump to position 2 Jump to position 3 Jump to position 4 We look forward to seeing what you build with 3.1 Flash-Lite and the rest of the Gemini 3 series models. ![](https://blog.google/static/blogv2/images/newsletter-envelope-back.svg?version=pr20260415-1638) ![](https://blog.google/static/blogv2/images/newsletter-envelope-letter-approved.svg?version=pr20260415-1638) ![](https://blog.google/static/blogv2/images/newsletter-envelope-letter-google.svg?version=pr20260415-1638) ![](https://blog.google/static/blogv2/images/newsletter-envelope-front.svg?version=pr20260415-1638) Done. 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POSTED IN: - [Gemini models](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/%20https://blog.google/products-and-platforms/products/gemini/%20) - [AI](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-lite/%20https://blog.google/innovation-and-ai/technology/ai/%20) ### Related stories [![](https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Summer_Travel_Tips_2026_hero.width-300.format-webp.webp) Search 7 ways to travel smarter this summer, with help from Google Apr 17, 2026](https://blog.google/products-and-platforms/products/search/summer-travel-tips-google-search-ai/) [![](https://storage.googleapis.com/gweb-uniblog-publish-prod/images/AI_Mode_in_Chrome_-_Blog_header.width-300.format-webp.webp) Search A new way to explore the web with AI Mode in Chrome By Robby Stein & Mike Torres Apr 16, 2026](https://blog.google/products-and-platforms/products/search/ai-mode-chrome/) [![](https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Blog_post_header.width-300.format-webp.webp) Gemini App New ways to create personalized images in the Gemini app By Animish Sivaramakrishnan & David Sharon Apr 16, 2026](https://blog.google/innovation-and-ai/products/gemini-app/personal-intelligence-nano-banana/) [![](https://storage.googleapis.com/gweb-uniblog-publish-prod/images/gemini-3.1-flash-tts_blog_keyword.width-300.format-webp.webp) Gemini models Gemini 3.1 Flash TTS: the next generation of expressive AI speech By Vilobh Meshram & Max Gubin Apr 15, 2026](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-flash-tts/) [![](https://storage.googleapis.com/gweb-uniblog-publish-prod/images/GoogleChrome_RR_Skills_KeywordHea.width-300.format-webp.webp) Chrome Turn your best AI prompts into one-click tools in Chrome By Hafsah Ismail Apr 14, 2026](https://blog.google/products-and-platforms/products/chrome/skills-in-chrome/) [![](https://storage.googleapis.com/gweb-uniblog-publish-prod/images/AI_for_the_Economy_Forum_2026.width-300.format-webp.webp) Creating opportunity Bringing people together at AI for the Economy Forum By James Manyika Apr 14, 2026](https://blog.google/company-news/outreach-and-initiatives/creating-opportunity/ai-economy-forum/) . 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Mar 03, 2026 8 min read Get best-in-class intelligence for your highest-volume workloads. ## General summary Gemini 3.1 Flash-Lite is now available in preview to developers via the Gemini API in Google AI Studio and for enterprises via Vertex AI. Priced at \$0.25/1M input tokens and \$1.50/1M output tokens, it's cost-efficient and faster than 2.5 Flash. Use 3.1 Flash-Lite for tasks like translation content moderation generating user interfaces and creating simulations. Summaries were generated by Google AI. Generative AI is experimental. ## Basic explainer Google made a new AI model called Gemini 3.1 Flash-Lite. It's super fast and cheap to use, so more people can use it. This AI is good at things like translating languages and checking content. Some companies are already using it to solve tough problems because it's both smart and efficient. Summaries were generated by Google AI. Generative AI is experimental. ![Gemini 3.1 Flash Lite logo](https://storage.googleapis.com/gweb-uniblog-publish-prod/images/gemini-3.1_flash_Lite_blog_keywor.width-200.format-webp.webp) Your browser does not support the audio element. Listen to article This content is generated by Google AI. Generative AI is experimental \[\[duration\]\] minutes 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. Gemini 3.1 Flash-Lite outperforms 2.5 Flash in speed and quality. 3\.1 Flash-Lite achieves an impressive Elo score of 1432 on the [Arena.ai Leaderboard](http://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. ## 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. 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. Done. Just one step more. Check your inbox to confirm your subscription. You are already subscribed to our newsletter. You can also subscribe with a ### Related stories .
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