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Muse Spark 1.1

Release page →

Muse Spark 1.2

Meta's new coding tool and updated Muse Spark model, available to developers through an API: How developers plug a model into their own apps and pay per use. A model that's "in the API" can be used by programmers, even if it isn't in a chat app yet. and not free to download.

Release page →

The basics

Released

Jul 9
Aug 5

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.Reads files: Reads documents such as PDFs.Watches video: Understands video clips you share with it.
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.Reads files: Reads documents such as PDFs.Listens: Understands speech and other sounds.Watches video: Understands video clips you share with it.

Knowledge cutoff

The latest events it learned about

Not published
Not published

Download

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

Where to use it

Meta's app: Meta AI ↗Also for developers, through an API
Meta's app: Meta AI ↗Also for developers, through an API

Price and limits, for developers

Input

Per million tokens

$1.25
$1.25

Output

Per million tokens

$4.25
$4.25

Cached input

Per million tokens

$0.15
$0.15

Context window

How much it takes in at once

1.05M tokens about 790,000 words
1.05M tokens about 790,000 words

Longest answer

131K tokens about 98,000 words
131K tokens about 98,000 words

How they score

Combined test score

Epoch Capabilities Index · Epoch AI

155#45 of 237
155#44 of 237

Too close to call: Muse Spark 1.1 and Muse Spark 1.2 are within the margin of error.

Chat answers, by people's votes

LMArena text, adjusted for style · LMArena

1,491#12 of 86
1,494#11 of 86

Neck and neck: in blind votes, people pick each about as often as the other.

Building apps, by people's votes

LMArena WebDev · LMArena

1,542#45 of 85
1,534#48 of 85

Neck and neck: in blind votes, people pick each about as often as the other.

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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