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Prompt Caching Explained: How to Cut LLM Cost by up to 90% Without Losing Quality
Prompt caching reuses precomputed KV state for identical prompt prefixes, cutting cost up to 90% and latency up to 85% with no quality change.
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Prompt caching reuses precomputed KV state for identical prompt prefixes, cutting cost up to 90% and latency up to 85% with no quality change.
ReadUse the OpenAI Batch API for non-real-time bulk jobs to get 50% cheaper tokens with a 24h SLA and a separate rate-limit pool.
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