Claude Prompt Caching vs OpenAI: Token Economics in Production
Evaluating input caching behavior, response latencies, and token cost crossovers.
Latency & Real-Time Performance
Claude prompt caching reduces time-to-first-token by up to 50% because the model skips parsing the cached prefix. OpenAI runs standard prompt evaluations unless using assistant thread caches.
Customizability & Platform Architecture
Claude allows developers to set explicit breakpoints (up to 4 cache checkpoints) in their prompt. OpenAI manages caching automatically behind the scenes (less control).
Developer Experience (DX) Comparison
Anthropic Claude requires setting the `cache_control` header in the message payload. OpenAI requires no code modifications but offers no visibility into cache hit rates.
The Crossover Math & Cost Efficiency
For agents with large system prompts (>10k tokens) or long conversation histories, Claude prompt caching reduces input token cost by up to 90%. For short, stateless completions, OpenAI's raw token pricing remains highly competitive.