DeepSeek V4.1-Flash Cache Pricing at $0.003 Reshapes AI Model Cost Comparisons

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A September 2026 analysis highlights that cache hit pricing — not just per-token cost — is a critical but widely overlooked factor when comparing AI models for agent workloads. DeepSeek's V4.1-Flash offers cache hits at $0.003 per million tokens during off-peak hours, compared to $0.30–$0.50 for rivals like Kimi K3, GPT-5.6 Sol, and Claude Opus 5, a difference of up to 167 times. Because agent tasks repeatedly read the same context — such as repositories, documents, and conversation history — cache costs can dominate total expenditure, with a sample 50-million-token cache scenario costing roughly $0.15 on V4.1-Flash versus $25 on Claude Opus 5. On September 13, 2026, Together AI announced V4.1-Flash availability on its platform, citing benchmark results from DeepSeek's own model card showing the model outperforming GPT-5.6 Sol on several agent-focused tests. A July 2026 VentureBeat survey of 170 organizations found that 53% do not rigorously track AI costs, suggesting much of the market may be unaware of the pricing gap that cache hit rates create.

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