Expired50% confidenceSolutionExact time
Developers 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.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/13/2026
First Seen
Valid until: 10/11/2026(expired)
Sources
GPT 5.6+Codex深度实测：三档模型与Ultra模式全解析
bilibilioil欧呦7/10/2026
Related Claims
UnverifiedModels 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.82% similarUnverifiedModel agnosticism allows developers to choose the most suitable model based on task characteristics, for example using a lightweight model for simple refactoring and a high-capability model for complex architectural design.70% similarUnverifiedDevelopers should precisely match model capabilities to task types, avoiding the use of underpowered models for high-complexity tasks or the over-consumption of resources for simple needs.69% similarUnverifiedThe tool has a built-in intelligent model scheduling mechanism that uses lightweight models for simple questions and automatically switches to more powerful models for complex tasks.67% similar
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