A recent analysis reveals that Anthropic's Claude models have varying prompt-caching thresholds, with cheaper models like Haiku 4.5 requiring significantly longer prompts (4,096 tokens) to enable caching compared to more expensive models like Opus 5 (512 tokens). This disparity means that frequently used, shorter prompts might not be cached by the cheapest models, leading to higher processing costs than anticipated. The study found that a typical skill file, designed for repeated use, often falls below the caching floor of the cheapest models, making them less cost-effective for such workloads. AI
IMPACT Highlights potential cost inefficiencies for users routing to cheaper models, suggesting a need to consider prompt length and caching behavior in model selection.
RANK_REASON Analysis of model behavior and cost implications, not a direct release or product launch.
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