AI RACE— La carrera de la IA
Modelo de IA

Muse Spark 1.1

Meta

Probar ahora ↗
Lanzamiento7/2026
Velocidad0 tokens/s
Tiempo hasta el primer token0.00s
Precio de entrada$1.25/1M
Precio de salida$4.25/1M

Clasificación

#44
AIM 61.0Puesto máximo: #11
#24
AIM 87.4Puesto máximo: #10
#33
AIM 91.8Puesto máximo: #13
#55
AIM 85.7Puesto máximo: #36

Análisis

Muse Spark 1.1 is a strong choice for developers, data scientists, or anyone tackling technical problems that require deep reasoning and precise code. Better suited for specialized tasks than general conversation or autonomous agents.

Puntos fuertes

  • Strong logical reasoning, handles complex problems requiring multi-step analysis effectively
  • Precise coding with clean, well-structured output
  • Adequate general conversation, capable of addressing a wide variety of queries

Puntos débiles

  • AI agent skills (autonomous task execution) lag behind coding and reasoning; not optimized for complex automated workflows
  • Average general conversational ranking; may be less flexible in open-ended discussions or creative tasks compared to other models

Casos de uso

Solving logic problems, data analysis, complex code debuggingProduction code generation, refactoring, code reviews, system architecture planningTechnical learning, in-depth explanations of programming concepts and algorithms

Guías y videos

Access meta.ai or the Meta AI app, log in with a Meta account, then switch to "Thinking" mode to activate Muse Spark 1.1. Describe your request as an objective rather than a single prompt (e.g., "research 3 competitor pricing pages and summarize the differences"). The model plans, delegates tasks to sub-agents, and tracks context across the session. Free on meta.ai, though subject to rate limits; the API costs $1.25 per million input tokens and $4.25 per million output tokens.

Reseñas