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Meta: Muse Spark 1.2 Contributor

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

Voir la source sur OpenRouter
Présentation

Caractéristiques du modèle

Context
1 048 576 tokens
Sortie maximale
943 718 tokens
Architecture
text+image+file+audio+video->text
Tokenizer
Other
Limite des connaissances
Not provided
Modéré
Oui
Capacités et modalités

Input → Output

Input
textimagevideofileaudio
Output
text
Raisonnement

Non · xhigh · high · medium · low · minimal

API

Paramètres API pris en charge

include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatstructured_outputstemperaturetool_choicetoolstop_ktop_p
Fournisseurs disponibles

1 Fournisseur

Meta

unknown
Context
1.0M
Sortie maximale
944K
Input
$0.100
Output
$0.200
Lecture du cache
$0.0020
Écriture du cache
Not provided
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models

Tous les modèles
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Meta: Muse Image

Muse Image is an agentic image generation model from Meta that generates and edits images from text and reference images. Unlike single-pass image models, it reasons before it renders, breaking...

Context
66K
Input
text · image
Output
image
Input: FreeOutput: Freeper 1M tokens
Voir la fiche du modèle →
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Meta: Muse Glimmer 30B

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

Context
131K
Input
text · image
Output
text
Input: $0.300Output: $1.20per 1M tokens
Voir la fiche du modèle →
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Meta: Muse Glimmer 30B (batch)

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

Context
131K
Input
text · image
Output
text
Input: $0.350Output: $1.50per 1M tokens
Voir la fiche du modèle →
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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...

Context
1.0M
Input
text · image · video · file · audio
Output
text
Input: $1.25Output: $4.25per 1M tokens
Voir la fiche du modèle →