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Llama 4 Maverick

Release page →

Gemini 4 Carbon

Google's most powerful AI model so far, built for cybersecurity work and long, complicated tasks. For now only security teams in a Google programme can use it; others get it later, with no date yet.

Release page →

The basics

Released

Apr 5, 2025
Oct 28

What it does

Text and chat: Writes, answers questions and holds a conversation.Code: Writes, explains and fixes code.Sees images: Understands pictures, screenshots and charts you share with it.
Text and chat: Writes, answers questions and holds a conversation.

Knowledge cutoff

The latest events it learned about

Not published
Not published

Download

FreeOpen weights, licence has limits
No: it runs on the maker's servers

Where to use it

Meta's app: Meta AI ↗
Google's app: Gemini ↗

Price and limits, for developers

Input

Per million tokens

$0.35
Not listed

Output

Per million tokens

$1.00
Not listed

Cached input

Per million tokens

$0.17
Not listed

Context window

How much it takes in at once

524K tokens about 390,000 words
Not listed

Longest answer

33K tokens about 25,000 words
Not listed

How they score

Combined test score

Epoch Capabilities Index · Epoch AI

132#145 of 237
Not ranked

Only Llama 4 Maverick is in this ranking.

Chat answers, by people's votes

LMArena text, adjusted for style · LMArena

Not ranked
1,527#1 of 86

Only Gemini 4 Carbon is in this ranking, which lists the most-voted models.

Building apps, by people's votes

LMArena WebDev · LMArena

Not ranked
1,768#3 of 85

Only Gemini 4 Carbon is in this ranking, which lists the most-voted models.

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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