SO-Arena 评估系统一模型的能力谱和可靠性
SO-Arena: Benchmarking the Capability Spectrum and Reliability of System One Models

SO-Arena通过11个领域和5个能力家族评估系统一模型,发现规模化和推理增益存在差异,且高整体准确率不保证可靠决策。该基准通过可靠来源和手动验证、领域特定难度标准、沙盒中迭代执行动作进行能力谱评估;通过选项集变化下的决策稳定性和无有效选项时的答案识别评估决策可靠性。21模型评估显示规模化和推理增益存在领域差异,且最佳系统一模型在可靠性排名中仅列第七。
Abstract
SO-Arena evaluates System One models across domains and capability families, revealing that scaling and reasoning gains vary and that high overall accuracy does not ensure reliable decision-making.
System One models promise fast, general-purpose decision-making without lengthy token generation. However, understanding their capability spectrum and decision reliability requires more than aggregate performance on current benchmarks. Existing evaluations often provide limited insight into the breadth of model capabilities and the reliability of their decisions. We introduce SO-Arena, a benchmark characterizing the capability spectrum and decision reliability of System One models across 11 domains and five capability families. For the capability spectrum, SO-Arena offers evidence-grounded evaluation through reliable sources and manual verification of reference labels against model-visible inputs; fine-grained capability assessment through domain-specific difficulty criteria; and realistic interactive evaluation, where models iteratively execute actions in sandboxes. Reasoning-intensive tasks further enable system one-two comparison. Beyond accuracy, SO-Arena assesses decision reliability through two complementary measures: decision stability under controlled option-set changes and missing-answer recognition when no valid option is available. Evaluations across 21 models reveal that the benefits of scaling and additional reasoning vary substantially across domains. More importantly, strong overall performance does not necessarily imply reliable decision-making: the best-performing System One model ranks only seventh in reliability. Together, these findings highlight the need to characterize capability spectrum and decision reliability as complementary dimensions, providing a systematic view of the strengths and limitations of System One models.
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