Unverified50% confidenceFactExact time
In frameworks where prompt caching is already enabled, the unit price for cache hits is only 1/50 that of new input, so cost savings are limited when the volume of judgments is not large.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/25/2026
First Seen
Valid until: 12/24/2026
Sources
Related Entities
Related Claims
UnverifiedThe cache read mechanism retains the KV cache for recurring long prompt prefixes, charging at an extremely low rate upon a cache hit; the leaked cache read price for Opus 5.5 is approximately 1/20 of the input price.76% similarUnverifiedCached input tokens typically enjoy a discount of 25%–50% off the original price, as there is no need to recompute embeddings and attention weights—only the precomputed KV vectors need to be loaded from cache.75% similarUnverifiedOpenAI has introduced a prompt cache breakpoint mechanism that allows developers to manually specify cache breakpoints, with cache-hit portions typically billed at a discounted rate of 10%–25% of the original price.70% similarUnverifiedA Prompt Caching cache hit read costs only 0.1 times the base input price, while the initial write cost is 2 times the regular input price.69% similarUnverifiedCache hits reduce the billing rate per request, not the absolute amount of tokens consumed.69% similar
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