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# Google Announces Gemini 3.1 Flash Lite Preview with Enhanced Output

**[Collections](https://daily.dev/sources/collections)** · 2 min read · 2 upvotes · 0 comments

## Summary

Google has released Gemini 3.1 Flash Lite Preview, the fastest model in the Gemini 3 family. Priced at $0.25 per million input tokens and $1.50 per million output tokens, it delivers up to 363 tokens per second and a 45% speed increase over its predecessor. Available via the Gemini API, Google AI Studio, and Vertex AI, it outperforms Gemini 2.5 Flash and beats GPT-5 mini and Claude 4.5 Haiku on price-performance benchmarks. The model supports adjustable reasoning time for cost-quality tuning and is aimed at developers handling high-volume data processing workloads rather than agentic or conversational tasks.

## Content

Google has launched Gemini 3.1 Flash Lite Preview, the fastest model in the Gemini 3 family and a meaningful step up from the previous Lite generation.

## What it is

Gemini 3.1 Flash Lite is priced at $0.25 per million input tokens and $1.50 per million output tokens. It's available now via the Gemini API, Google AI Studio, and Vertex AI. Google says it reaches up to 363 tokens per second and delivers a 45% increase in output speed over its predecessor.

On benchmarks, it outperforms Gemini 2.5 Flash and beats GPT-5 mini and Claude 4.5 Haiku on price-performance. One notable omission: Google didn't publish any agent benchmarks, which makes sense given the model is aimed at data processing and high-volume workloads rather than agentic tasks.

The API also supports adjustable reasoning time, so you can tune cost versus quality depending on what the task actually needs.

## Who it's for

This isn't really a model for people chatting with AI. It's for developers building tools that need to process a lot of data quickly without running up a large bill.

A good example: a YouTube thumbnail swipe file app that uses the model to instantly describe images dropped into it. That kind of lightweight, high-frequency use case is exactly where Flash Lite shines. The speed and low cost make it practical for small integrations that would be too expensive or too slow with a heavier model.

If you're building something that needs to handle volume at scale, it's worth testing in AI Studio.

## Similar posts on daily.dev

- [Gemini 3.1 Flash-Lite: Built for intelligence at scale](https://daily.dev/posts/gemini-3-1-flash-lite-built-for-intelligence-at-scale-oz1mpgrn8) · DeepMind · 1 upvotes · 1 comments

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