Prompt
Should I use prompt caching to reduce token spend?
Latest observation
Oct 9, 2026
OpenAI APIWeb search: off
Yes—if your prompts are large and repeated, prompt caching can materially reduce token spend.
Good reasons to use it
- Repeated system / developer instructions: If you send the same long instructions every request, caching can save a lot.
- RAG or tool-heavy apps: If you prepend a stable context block, caching helps.
- Long conversations with shared prefixes: Reusing the same initial context makes caching valuable.
- High-volume workloads: Savings add up quickly.
When it’s not worth it
- Short prompts: Savings are usually small.
- Highly variable prompts: If the prefix changes a lot, cache hits will be low.
- Low traffic: The engineering complexity may not be worth it.
Important caveats
- Caching typically helps only on the reused prefix, not the changing user-specific tail.
- You’ll want to structure prompts so the static part comes first and stays byte-for-byte consistent.
- Measure real usage: sometimes the operational effort exceeds the savings.
Rule of thumb
If you have:
- a large static prefix,
- frequent repeated calls, and
- meaningful token spend,
then yes, use prompt caching.
If you want, I can help you estimate the savings for your specific prompt pattern.