Released07/2026
Speed0 tokens/s
Time to first token0.00s
Input price$1.25/1M
Output price$4.25/1M
Rankings
Review
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.
Strengths
- 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
Weaknesses
- 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
Use cases
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
Guides & 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.