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Meta: Muse Spark 1.2

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...

Overview

Model specifications

Context
1,048,576 tokens
Maximum output
943,718 tokens
Architecture
text+image+file+audio+video->text
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
Yes
Capabilities

InputOutput

Input
textimagevideofileaudio
Output
text
Reasoning

No · xhigh · high · medium · low · minimal

API

Supported API parameters

include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatstructured_outputstemperaturetool_choicetoolstop_ktop_p
Available providers

1 Provider

Meta

unknown
Context
1.0M
Maximum output
944K
Input
$1.25
Output
$4.25
Cache read
$0.150
Cache write
Not provided
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