Gemini 3.1 Flash-Lite: Built for intelligence at scale

Gemini 3.1 Flash Lite: Our most cost-effective AI model yet

Gemini 3.1 Flash-Lite: Built for intelligence at scale

Mar 03, 2026

·

Share

x.com

Facebook

LinkedIn

Mail

Copy link

Get best-in-class intelligence for your highest-volume workloads.

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

Facebook

LinkedIn

Mail

Copy link

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

Speed

Voice

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 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.

3.1 Flash-Lite instantly fills an e-commerce wireframe with hundreds of products in different categories.

3.1 Flash-Lite can generate dynamic weather dashboards in real-time , using live forecasts and historical data.

3.1 Flash-Lite creates a SaaS agent capable of executing versatile, multi-step tasks for a business .

3.1 Flash-Lite can analyze and sort large numbers of content like images quickly.

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. Get more stories from Google in your inbox.

Email address

Your information will be used in accordance with Google's privacy policy.

Subscribe

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 different email address

.

POSTED IN:

Related stories

AI The latest AI news we announced in May 2026

By

The Keyword Team

Jun 05, 2026

Search 5 ways Google Search can level up your thrift and vintage shopping

By

Megan Stoner

Jun 03, 2026

AI How we used Gemini to build Google I/O 2026

By

Marvin Chow

Jun 01, 2026

AI Take our I/O 2026 quiz, vibe coded in Google AI Studio.

By

Zahra Thompson

May 29, 2026

Gemini models 9 demos of Gemini Omni and Gemini 3.5 in action

By

Zahra Thompson

May 29, 2026

AI Check out real-life AI prototypes from the Futures Lab.

May 29, 2026

.

Jump to position 1

Jump to position 2

Jump to position 3

Jump to position 4

Jump to position 5

Jump to position 6

Let’s stay in touch. Get the latest news from Google in your inbox.

Subscribe No thanks