Unverified50% confidenceFactExact time
Prompt caching reduces time-to-first-token because the model skips re-processing the long prefix.
1
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50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
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Related Claims
UnverifiedFewer input tokens generally mean lower processing latency.76% similarUnverifiedOperations such as switching models, switching inference intensity, toggling fast inference mode, compressing conversations, and resuming after cache expiration all cause prompt cache invalidation.74% similarUnverifiedIn the inference pipeline, the Prefill stage is compute-intensive and time-consuming, while the Decode stage performs token-by-token autoregressive generation and is sensitive to latency.74% similarUnverifiedWaiting for the complete streaming response before deciding whether to cache it increases memory pressure and latency on the caching layer.73% similarUnverified主从复制中异步复制模式存在复制延迟，半同步模式降低数据丢失风险但增加写入延迟73% similar
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