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Gemini 3.1 Flash Live

Google's fast voice model for talking with an AI in real time, offered in Preview: An early version released for testing. It may change or disappear, and is often limited while it lasts. to developers building voice apps.

Release page →

Gemini Flash 3.1 TTS

Release page →

The basics

Released

Mar 26
Apr 15

What it does

Text and chat: Writes, answers questions and holds a conversation.Thinks first: Can reason step by step before it answers: slower, but better at maths, code and tricky questions.Sees images: Understands pictures, screenshots and charts you share with it.Listens: Understands speech and other sounds.Watches video: Understands video clips you share with it.Makes sound: Creates speech, music or other audio.
Thinks first: Can reason step by step before it answers: slower, but better at maths, code and tricky questions.Makes sound: Creates speech, music or other audio.

Knowledge cutoff

The latest events it learned about

January 2025
January 2025

Download

No: it runs on the maker's servers
No: it runs on the maker's servers

Where to use it

Google's app: Gemini ↗Also for developers, through an API
Google's app: Gemini ↗Also for developers, through an API

Price and limits, for developers

Input

Per million tokens

$0.75Cheaper
$1.00

Output

Per million tokens

$4.50Cheaper
$20.00

Context window

How much it takes in at once

131K tokens about 98,000 wordsBigger
8K tokens about 6,100 words

Longest answer

66K tokens about 49,000 words
Not listed

How they score

Neither model is in the public rankings trckr follows yet. New models usually appear within a few weeks of launch.

Green marks the better of the two on each row, red the other. Rows where one side isn't listed, or where the gap is too close to call, stay plain.

Popular comparisons

Not sure where to start? Which AI should I use? gives a pick for what you want to do. How to read AI rankings explains the numbers.

Rankings from LMArena and Epoch AI, both CC BY 4.0, updated . Developer prices, context windows and knowledge cutoffs from the labs' own listings on models.dev and from OpenRouter. The app links go to each maker's own app when no source says exactly where the model is available.

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