LLM Prompt Caching Cost Calculator
Estimate how much prompt caching saves. Enter system prompt tokens, new tokens and output per turn, turns per session, sessions per month, and cache hit rate. No cache = every turn pays the full prompt; with cache, turn 1 writes the prefix and later turns pay hit% × cached rate + miss% × write rate. Presets: OpenAI GPT-6 cached input with 30m/12h write, DeepSeek hit/miss peak/off-peak. Estimates only; official pricing prevails.
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Custom $/1M rates (optional)
No-cache monthly USD
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With caching monthly USD
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Savings (USD)
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Savings %
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Cache write / miss spend
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Cache hit spend
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Estimates only; official vendor pricing prevails (2026-10-30). No cache = turns × (prefix + new) × input + output. With cache: turn 1 writes the prefix; later turns pay hit% × cached rate + miss% × write rate. OpenAI misses are modeled at the selected 30m/12h write rate; DeepSeek misses at the cache-miss input rate.Official pricing: OpenAI · DeepSeek
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Bagaimana cara kerjanya
- Apakah ada data yang diunggah?
- Tidak Bagimu. ada Bagimu.
- Can these AI prices change?
- Yes. Vendors change list prices often. Edit the $/1M or plan fields, and confirm on the official pricing page before you budget.
- Is usage data uploaded?
- No. Token and subscription math runs in your browser. Nothing is sent to a server.