Lesson 2008 of 2116
AI Prompt Caching: 90% Discount on Repeated Context
Caching system prompts and large documents cuts cost dramatically on iterative work.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2prompt-cache
- 3cost
- 4latency
Concept cluster
Terms to connect while reading
Section 1
The premise
Anthropic and OpenAI offer prompt caching with up to 90% discounts on cached tokens — huge for chat with long system prompts.
What AI does well here
- Reuse cached system prompts within a 5-minute window.
- Cut latency on subsequent calls with cached prefixes.
- Reduce cost on RAG with stable retrieved chunks.
- Stack with batch APIs for compounding savings.
What AI cannot do
- Cache content that changes per request.
- Persist cache beyond provider-defined TTL (often 5 min).
Key terms in this lesson
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
Tutor
Curious about “AI Prompt Caching: 90% Discount on Repeated Context”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Creators · 11 min
Using Prompt Caching to Cut Cost and Latency
Reuse the static prefix of long prompts across calls.
Creators · 11 min
Voice Agent Platforms: Vapi, Retell, Bland in 2026
Pick a voice agent platform by latency, transfer support, and how it handles real phone weirdness.
Creators · 11 min
Comparing edge AI deployment platforms (Cloudflare, Fastly, Vercel)
Pick the right edge runtime for inference close to your users.