Unverified50% confidenceFactExact time
Sol and Luna support adjustable reasoning levels, allowing the depth of thinking to be tuned according to task complexity.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/30/2026
First Seen
Valid until: 12/29/2026
Sources
Related Entities
Related Claims
UnverifiedDevelopers can flexibly allocate models according to task complexity, using Sol for fine-grained reasoning while calling Terra or Luna as sub-agents to reduce token overhead.80% similarUnverifiedModels should be allocated according to task complexity, assigning lightweight tasks to Luna, everyday tasks to Terra, and complex tasks to SOL, in order to conserve advanced model quotas.78% similarUnverifiedRecommended application combination approach: Sol handles complex planning, Luna organizes customer service issues or product data, and finally human review handles delivery.74% similarUnverifiedSol is the top tier, designed specifically to handle the most difficult, longest, and most deeply reasoning-intensive tasks.73% similarUnverifiedSOL is the most capable of the three models, specifically designed to handle complex projects and mission-critical tasks, but with high call costs and long response times.66% similar
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