AI RACE— A Corrida da IA
Modelo de IA

Muse Spark 1.1

Meta

Experimente agora ↗
Lançamento07/2026
Velocidade0 tokens/s
Tempo até o primeiro token0.00s
Preço de entrada$1.25/1M
Preço de saída$4.25/1M

Rankings

#44
AIM 61.0Pico: #11
#24
AIM 87.4Pico: #10
#33
AIM 91.9Pico: #13
#55
AIM 85.7Pico: #36

Análise

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.

Pontos fortes

  • 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

Pontos fracos

  • 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

Guias e vídeos

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.

Análises