Unverified50% confidenceOpinionExact time
The three key dimensions for evaluating large models are intelligence level, runtime performance, and cost of use.
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50%
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Long-term
Relevance
9/22/2026
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UnverifiedThe third-generation evaluation framework introduces a cost-efficiency dimension, using the number of tokens consumed and API calls made to complete the same task as important metrics for measuring the practical value of a model.79% similarUnverifiedIntelligence level is typically evaluated through a series of task benchmarks, while power consumption can be measured directly.72% similarUnverifiedThe quality of tool descriptions directly affects the accuracy of model invocation.72% similarUnverifiedEvaluating model capabilities should combine third-party benchmark results, long-term real user feedback, and the effectiveness of deployment in specific business scenarios, rather than relying solely on version numbers.71% similarUnverified常见的模型评估维度包括任务完成率、迭代效率、改进稳定性以及边界情况处理能力70% similar
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