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Tuesday, 20 October 2026
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Models· Important· 🧪 Worth Testing

OpenAI adds optional 12-hour prompt caching to the Responses API

In short: OpenAI's Responses API now supports a 12-hour prompt cache option, keeping shared instructions, tools and context cached for longer so repeated requests hours apart can still benefit from cheaper cached-input pricing. Writing to this longer cache costs 2.5x the standard input token price. This is an optional setting alongside the existing shorter default cache.

Source: OpenAI API ChangelogOpenAIOriginal article ↗

This summary was generated automatically by AI from OpenAI API Changelog's publication. It is our own text, not a copy of the original — facts, figures and quotes belong to the source, linked above and below.

What changed?

  • 1New optional 12-hour prompt cache for v1/responses
  • 2Cached context (instructions, tools) stays available even when requests are hours apart
  • 312-hour cache writes cost 2.5x the standard input token price
ParameterBeforeNow
Prompt cache durationNot specified12 hours (optional)
12-hour cache write priceNot specified2.5x input token price

Why it matters

Applications that send large, repeated system prompts or tool schemas but don't call the API constantly can now avoid re-paying full input price on every request, as long as the time gap stays under 12 hours.

What it means for AI agents and contact centers

For voice agent and contact-center integrations that reuse long system prompts, tool/function definitions or CRM context across calls that aren't back-to-back, this caching option could reduce per-call input costs; it's worth comparing the 2.5x cache-write cost against expected cache hit rates before enabling it broadly.

🧪 Worth Testing

Testing shows whether the longer cache window actually reduces net cost for your traffic pattern (call frequency, prompt size) versus the higher write price.

12-hour prompt caching· New

Sources

  • OpenAI API ChangelogOfficialPrimary source
    „You can now choose 12-hour prompt caching in the API. 12-hour prompt caching keeps shared instructions, tools, and context cached longer to benefit from lower cached-input pricing, even when requests “
    20 Oct 2026, 03:00
    Original article →
Published by source
20 Oct 2026, 03:00
Found by our system
20 Oct 2026, 21:16
Summary generated
20 Oct 2026, 21:17

This article was written by AI from the original source. Facts, numbers and prices come from the source; missing values are marked “Not specified”. Legal notice, copyright and privacy

OpenAI adds optional 12-hour prompt caching to the Responses API · TENESYS AI NEWS