Muse Ember
Descripción
Muse Ember is Meta Superintelligence Labs' smallest and most efficient multimodal reasoning model, built for high-volume agent execution such as tool calls, coding subtasks, routing, extraction, and long-document work. It is available on the Meta Model API and in Muse Code as muse-ember-1.0 in Standard mode only (there is no Contributor-mode variant). It accepts text, image, video, audio, and PDF input and returns text, with a 1,048,576-token context window and up to 524,288 output tokens. Reasoning effort ranges from minimal to max; the default is max. Pay-as-you-go pricing for requests with up to 200K input tokens is $0.10 per million input tokens, $0.004 per million cached input tokens, and $0.50 per million output tokens. Requests with more than 200K input tokens are billed in full at $0.30/$0.012/$1.50. Web search grounding costs $2.50 per 1,000 search queries on top of token charges.
Radar de capacidades
Science se estima a partir de las puntuaciones científicas de LLM Stats o del razonamiento cuando no hay benchmarks científicos dedicados.
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 57 | 50.0 | LS |
| Ranking multimodal | 130 | 27.0 | LS |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
Multimodal
Reasoning
Vision
Índices de evaluación AA
(Artificial Analysis)No hay datos de evaluación AA disponibles
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Precios
Velocidad
No hay datos de velocidad disponibles
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
4 proveedores
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