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For agentic workloads, the analysis shows that a model's per-token list price is a misleading cost signal — turn count and token volume at runtime determine the actual bill, making session-log auditing the only reliable way to compare model costs.
The benchmark shows that skill augmentation and turn-count monitoring — not raw model capability or per-token pricing — are the primary levers controlling both quality and cost when running DeepSeek V4 Flash at scale.