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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...

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Resumen

Especificaciones del modelo

Context
1.048.576 tokens
Salida máxima
943.718 tokens
Arquitectura
text+image+file+audio+video->text
Tokenizador
Other
Corte de conocimiento
Not provided
Moderado
Sí
Capacidades y modalidades

Input → Output

Input
textimagevideofileaudio
Output
text
Razonamiento

No · xhigh · high · medium · low · minimal

API

Parámetros API compatibles

include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatstructured_outputstemperaturetool_choicetoolstop_ktop_p
Proveedores disponibles

1 Proveedor

Meta

unknown
Context
1.0M
Salida máxima
944K
Input
$0.100
Output
$0.200
Lectura de caché
$0.0020
Escritura de caché
Not provided
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models

Todos los modelos
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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
Ver detalles del modelo →
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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
Ver detalles del modelo →
meta logometa

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
Ver detalles del modelo →
meta logometa

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
Ver detalles del modelo →