{"id":266609,"date":"2026-10-11T13:03:02","date_gmt":"2026-10-11T04:03:02","guid":{"rendered":"https:\/\/designcopy.net\/en\/?p=266609"},"modified":"2026-10-11T13:03:02","modified_gmt":"2026-10-11T04:03:02","slug":"prompt-caching-claude-vs-openai-vs-gemini-seo-pipeline-cost-2026","status":"publish","type":"post","link":"https:\/\/designcopy.net\/en\/prompt-caching-claude-vs-openai-vs-gemini-seo-pipeline-cost-2026\/","title":{"rendered":"Prompt Caching: Claude vs OpenAI vs Gemini Cost in 2026"},"content":{"rendered":"<p><title>Prompt Caching: Claude vs OpenAI vs Gemini Cost in 2026<\/title><\/p>\n<p class=\"updated\">Last updated: October 2026<\/p>\n<div style=\"background:#f3e5f5;border:2px solid #9c27b0;padding:20px;margin:0 0 24px 0;border-radius:8px;\">\n<strong style=\"color:#6a1b9a;font-size:1.1em;\">Quick Answer:<\/strong><\/p>\n<ul style=\"margin:10px 0 0 0;padding-left:20px;line-height:1.8;\">\n<li><strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/Claude_(language_model)\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">Claude<\/a> charges extra to write a cache and very little to read it<\/strong>: 1.25x base input for a 5-minute write, 2x for a 1-hour write, and 0.05x to read on Claude Sonnet 5.5 and Opus 5.5.<\/li>\n<li><strong><a href=\"https:\/\/openai.com\/\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">OpenAI<\/a> caches automatically<\/strong> from 1,024 tokens on GPT-5.6 and later, and bills cached tokens at 0.1x of uncached input.<\/li>\n<li><strong>Gemini 2.5 and newer cache implicitly<\/strong>, with minimums of 2,048 tokens (2.5 Flash and Pro) or 4,096 tokens (3.1 Pro Preview).<\/li>\n<li><strong>All three miss silently<\/strong> when the prefix is too short or changes between calls, so log the cached-token field on every request.<\/li>\n<\/ul>\n<\/div>\n<p>An SEO content pipeline sends the same 5,000 to 20,000 tokens with every request: the style guide, the banned-word list, the entity map, the schema template.<\/p>\n<p>Prompt caching stops you paying full price for that repeated block. The three big providers implement it in three different ways.<\/p>\n<h2>How Does Prompt Caching Work on Claude, OpenAI and Gemini?<\/h2>\n<p>On every provider the cache keys on a prefix: the start of the prompt, byte for byte. If the first N tokens match an earlier request, those tokens are not reprocessed at full price.<\/p>\n<p><a href=\"https:\/\/www.anthropic.com\/\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">Anthropic<\/a> makes you opt in. You add a <code>cache_control<\/code> block, either on the whole request or on up to four explicit breakpoints, per <a href=\"https:\/\/platform.claude.com\/docs\/en\/docs\/build-with-claude\/prompt-caching\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">Anthropic&#8217;s prompt caching documentation<\/a>.<\/p>\n<p>OpenAI does it for you. <a href=\"https:\/\/developers.openai.com\/api\/docs\/guides\/prompt-caching\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">OpenAI&#8217;s prompt caching guide<\/a> states that caching is enabled by default for supported models and a cached prefix stays eligible for 30 minutes after its last use on GPT-5.6 and later.<\/p>\n<p>Google splits it in two. Implicit caching is the default on Gemini 2.5 and newer. Explicit caching lives in the generateContent API and not in the Interactions API, per <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/caching\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">Google&#8217;s Gemini context caching documentation<\/a>.<\/p>\n<div style=\"background:#e8f5e9;border-left:4px solid #4caf50;padding:16px;margin:20px 0;\">\n<strong style=\"color:#2e7d32;\">Pro Tip:<\/strong><\/p>\n<p style=\"margin:8px 0 0 0;\">Put everything static first (style guide, entity list, schema template) and everything per-article last (title, keyword, SERP notes). A single changed token near the top invalidates the whole prefix.<\/p>\n<\/div>\n<figure style=\"margin:24px 0;text-align:center;\"><img decoding=\"async\" src=\"https:\/\/designcopy.net\/wp-content\/uploads\/2026\/10\/prompt-caching-claude-vs-openai-vs-gemini-seo-pipeline-cost-2026-internal-1-hero.jpg\" alt=\"How Does Prompt Caching Work on Claude, OpenAI and Gemini?\" style=\"max-width:100%;height:auto;border-radius:8px;\" loading=\"lazy\" title=\"\"><\/figure>\n<h2>What Do the Cache Multipliers Actually Look Like Side by Side?<\/h2>\n<p>The table uses the multipliers published in each vendor&#8217;s docs as of October 2026. It deliberately shows no dollar prices, because base prices change and you should read them from the live pricing page.<\/p>\n<table style=\"width:100%;border-collapse:collapse;margin:20px 0;\">\n<thead>\n<tr style=\"background:#1a237e;color:#fff;\">\n<th style=\"padding:10px;text-align:left;\">Factor<\/th>\n<th style=\"padding:10px;text-align:left;\">Claude Sonnet 5.5 \/ Opus 5.5<\/th>\n<th style=\"padding:10px;text-align:left;\">OpenAI GPT-5.6+<\/th>\n<th style=\"padding:10px;text-align:left;\">Gemini 2.5 \/ 3.1 Pro<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom:1px solid #e2e8f0;\">\n<td style=\"padding:10px;\">Opt-in needed<\/td>\n<td style=\"padding:10px;\">Yes, cache_control<\/td>\n<td style=\"padding:10px;\">No, automatic<\/td>\n<td style=\"padding:10px;\">No for implicit; yes for explicit<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0;\">\n<td style=\"padding:10px;\">Write cost<\/td>\n<td style=\"padding:10px;\">1.25x (5 min) or 2x (1 hour)<\/td>\n<td style=\"padding:10px;\">No separate write fee stated<\/td>\n<td style=\"padding:10px;\">Not stated in the docs page<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0;\">\n<td style=\"padding:10px;\">Read cost<\/td>\n<td style=\"padding:10px;\">0.05x of base input<\/td>\n<td style=\"padding:10px;\">0.1x of uncached input<\/td>\n<td style=\"padding:10px;\">Savings passed on, no figure on the page<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0;\">\n<td style=\"padding:10px;\">Minimum prefix<\/td>\n<td style=\"padding:10px;\">512 tokens<\/td>\n<td style=\"padding:10px;\">1,024 tokens<\/td>\n<td style=\"padding:10px;\">2,048 (2.5 Flash\/Pro); 4,096 (3.1 Pro Preview)<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:10px;\">Lifetime<\/td>\n<td style=\"padding:10px;\">5 minutes or 1 hour<\/td>\n<td style=\"padding:10px;\">30 minutes after last use<\/td>\n<td style=\"padding:10px;\">Not stated on the page<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>One footnote on OpenAI: GPT-6.1 Sol is listed at 0.05x for cached tokens. Earlier OpenAI models use model-specific cached rates, so check the model you actually call.<\/p>\n<figure style=\"margin:24px 0;text-align:center;\"><img decoding=\"async\" src=\"https:\/\/designcopy.net\/wp-content\/uploads\/2026\/10\/prompt-caching-claude-vs-openai-vs-gemini-seo-pipeline-cost-2026-internal-2-hero.jpg\" alt=\"What Do the Cache Multipliers Actually Look Like Side by Side?\" style=\"max-width:100%;height:auto;border-radius:8px;\" loading=\"lazy\" title=\"\"><\/figure>\n<h2>Is Claude&#8217;s Write Premium Worth Paying for a 40-Article Batch?<\/h2>\n<p>Yes, once the shared prefix is read more than about twice within the cache lifetime. Here is the arithmetic, with P as the base input price per token and a 6,000-token style guide plus entity map.<\/p>\n<p>Without caching, 40 articles cost 40 x 6,000 x P = 240,000P for that block. With a 5-minute cache on Claude Sonnet 5.5, one write costs 6,000 x 1.25P = 7,500P.<\/p>\n<p>The other 39 reads cost 39 x 6,000 x 0.05P = 11,700P. Total: 19,200P, which is 8% of the uncached figure. This is a calculation from published multipliers, not a measured bill.<\/p>\n<p>It only holds if the 40 calls land within the TTL of each other. Every successful read refreshes a 5-minute entry, but a batch that stalls for six minutes pays the 1.25x write again.<\/p>\n<div style=\"background:#fff3e0;border-left:4px solid #ff9800;padding:16px;margin:20px 0;\">\n<strong style=\"color:#e65100;\">Warning:<\/strong><\/p>\n<p style=\"margin:8px 0 0 0;\">A 1-hour write costs 2x, not 1.25x. If your batch finishes in ten minutes, the extra 0.75x buys nothing. Use the 1-hour TTL only for pipelines that trickle one article per hour or so.<\/p>\n<\/div>\n<figure style=\"margin:24px 0;text-align:center;\"><img decoding=\"async\" src=\"https:\/\/designcopy.net\/wp-content\/uploads\/2026\/10\/prompt-caching-claude-vs-openai-vs-gemini-seo-pipeline-cost-2026-internal-3-hero.jpg\" alt=\"Is Claude&#x27;s Write Premium Worth Paying for a 40-Article Batch?\" style=\"max-width:100%;height:auto;border-radius:8px;\" loading=\"lazy\" title=\"\"><\/figure>\n<h2>Why Does My Cache Never Hit, and How Do I Catch It?<\/h2>\n<p>The failure is silent. <a href=\"https:\/\/platform.claude.com\/docs\/en\/docs\/build-with-claude\/prompt-caching\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">Anthropic&#8217;s prompt caching documentation<\/a> says prompts shorter than the minimum are simply not cached and no error is returned. Your bill rises and nothing in your logs complains.<\/p>\n<p>The minimum also varies by model. Claude Sonnet 4.6 needs 1,024 tokens, Claude Haiku 4.5 needs 4,096, and Claude Sonnet 5.5 needs 512. Switching a cheap drafting step from Sonnet to Haiku can quietly turn caching off.<\/p>\n<p>The fix is a one-line check per call. Read <code>cache_read_input_tokens<\/code> and <code>cache_creation_input_tokens<\/code> from the Claude usage block, or the cached-token count from the OpenAI and Gemini responses.<\/p>\n<div style=\"background:#e8f5e9;border-left:4px solid #4caf50;padding:16px;margin:20px 0;\">\n<strong style=\"color:#2e7d32;\">Pro Tip:<\/strong><\/p>\n<p style=\"margin:8px 0 0 0;\">Fail the run if call number two in a batch reports zero cached tokens. Call one is allowed to miss; call two missing means the prefix is unstable or too short.<\/p>\n<\/div>\n<h2>Which Setup Fits an n8n or WordPress Content Pipeline?<\/h2>\n<p>Match the provider to how your jobs arrive. A scheduled batch that fires 20 to 50 calls in a few minutes suits Claude&#8217;s 5-minute cache, because the write premium is paid once and reads dominate.<\/p>\n<p>A trickle pipeline, such as an n8n workflow that drafts one WordPress post a day, will miss a 5-minute cache every time. OpenAI&#8217;s 30-minute window is also too short there, so a daily single-call job should not count on caching at all.<\/p>\n<p>Gemini&#8217;s implicit caching asks the least of you. Keep prompts above the model minimum, keep the prefix stable, and read the cache-hit field to see whether it fired.<\/p>\n<p>Whichever you use, keep the rules in one versioned prefix. Our guide to the <a href=\"\/en\/ai-content-pipeline-n8n-claude-wordpress\/\" data-wpel-link=\"internal\" rel=\"follow noopener noreferrer\" class=\"wpel-icon-right\">AI content pipeline with n8n, Claude and WordPress<i class=\"wpel-icon dashicons-before dashicons-admin-page\" aria-hidden=\"true\"><\/i><\/a> shows where that shared prompt sits in the workflow.<\/p>\n<blockquote style=\"border-left:4px solid #9e9e9e;background:#f5f5f5;margin:20px 0;padding:14px 18px;\">\n<p style=\"margin:0;\">Cache read tokens are priced at a fraction of the base input price, with the lowest multipliers on the newest Claude models.<\/p>\n<p style=\"margin:8px 0 0 0;\">&#8211; Per Anthropic&#8217;s published prompt caching documentation<\/p>\n<\/blockquote>\n<div style=\"background:#e3f2fd;border:2px solid #1976d2;padding:20px;margin:20px 0;border-radius:8px;\">\n<strong style=\"color:#0d47a1;\">Key Takeaway:<\/strong><\/p>\n<p style=\"margin:8px 0 0 0;\">Claude rewards batch jobs with the lowest read price and charges a write premium. OpenAI asks for nothing but a stable prefix. Gemini is automatic on 2.5 and newer.<\/p>\n<p style=\"margin:8px 0 0 0;\">On every provider, the real risk is a silent miss. Log the cached-token field and alert on zero.<\/p>\n<\/div>\n<h2>Frequently Asked Questions<\/h2>\n<div style=\"border-bottom:1px solid #e2e8f0;padding:16px 0;\">\n<h3>Does prompt caching change the output quality?<\/h3>\n<p>No. Caching reuses the processed prefix of your prompt, so the model sees the same tokens. Only cost and latency change.<\/p>\n<\/div>\n<div style=\"border-bottom:1px solid #e2e8f0;padding:16px 0;\">\n<h3>Why is my Claude cache_read_input_tokens always zero?<\/h3>\n<p>Most often the cached prefix is shorter than the model&#8217;s minimum, or something before the breakpoint changes on every call (a timestamp, a per-article ID). Per <a href=\"https:\/\/platform.claude.com\/docs\/en\/docs\/build-with-claude\/prompt-caching\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">Anthropic&#8217;s prompt caching documentation<\/a>, prompts under the minimum are processed without caching and no error is returned.<\/p>\n<\/div>\n<div style=\"border-bottom:1px solid #e2e8f0;padding:16px 0;\">\n<h3>Do I need to change code for OpenAI caching?<\/h3>\n<p>No. <a href=\"https:\/\/developers.openai.com\/api\/docs\/guides\/prompt-caching\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">OpenAI&#8217;s prompt caching guide<\/a> says caching is enabled by default for supported models. The work is ordering the prompt so the static part comes first.<\/p>\n<\/div>\n<div style=\"border-bottom:1px solid #e2e8f0;padding:16px 0;\">\n<h3>Is Gemini implicit caching the same as explicit caching?<\/h3>\n<p>No. Per <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/caching\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">Google&#8217;s Gemini context caching documentation<\/a>, implicit caching is on by default for Gemini 2.5 and newer, with savings passed on automatically. Explicit caching is the version where you create and reference a cache yourself.<\/p>\n<\/div>\n<div style=\"border-bottom:1px solid #e2e8f0;padding:16px 0;\">\n<h3>Which provider is cheapest for a 40-article batch with one shared style guide?<\/h3>\n<p>Compare the cache read multiplier first, then the write cost. Claude Sonnet 5.5 reads at 0.05x of base input; OpenAI&#8217;s GPT-5.6 and later read at 0.1x. Which is cheaper in dollars still depends on each model&#8217;s base input price, which you should read from the live pricing page.<\/p>\n<\/div>\n<hr \/>\n<p><em>DesignCopy Editorial Team<\/em><\/p>\n<p><script type=\"application\/ld+json\">\n[{\"@context\": \"https:\/\/schema.org\", \"@type\": \"Article\", \"headline\": \"Prompt Caching: Claude vs OpenAI vs Gemini Cost in 2026\", \"description\": \"How prompt caching differs on Claude, OpenAI and Gemini for SEO content pipelines: multipliers, minimum prefix sizes, TTLs, and how to catch silent cache misses.\", \"datePublished\": \"2026-10-09\", \"dateModified\": \"2026-10-09\", \"author\": {\"@type\": \"Organization\", \"name\": \"DesignCopy Editorial Team\", \"url\": \"https:\/\/designcopy.net\"}, \"publisher\": {\"@type\": \"Organization\", \"name\": \"DesignCopy\", \"url\": \"https:\/\/designcopy.net\"}}, {\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"Does prompt caching change the output quality?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"No. Caching reuses the processed prefix of your prompt, so the model sees the same tokens. 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Which is cheaper in dollars still depends on each model's base input price, which you should read from the live pricing page.\"}}]}]\n<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>An SEO content pipeline sends the same 5,000 to 20,000 tokens with every request: the style guide, the banned-word list, the entity map, the schema template.<\/p>\n","protected":false},"author":1,"featured_media":266621,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","rank_math_title":"","rank_math_description":"","rank_math_focus_keyword":"","footnotes":""},"categories":[1456],"tags":[],"class_list":["post-266609","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-automation","et-has-post-format-content","et_post_format-et-post-format-standard"],"_links":{"self":[{"href":"https:\/\/designcopy.net\/en\/wp-json\/wp\/v2\/posts\/266609","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/designcopy.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/designcopy.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/designcopy.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/designcopy.net\/en\/wp-json\/wp\/v2\/comments?post=266609"}],"version-history":[{"count":2,"href":"https:\/\/designcopy.net\/en\/wp-json\/wp\/v2\/posts\/266609\/revisions"}],"predecessor-version":[{"id":266620,"href":"https:\/\/designcopy.net\/en\/wp-json\/wp\/v2\/posts\/266609\/revisions\/266620"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/designcopy.net\/en\/wp-json\/wp\/v2\/media\/266621"}],"wp:attachment":[{"href":"https:\/\/designcopy.net\/en\/wp-json\/wp\/v2\/media?parent=266609"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/designcopy.net\/en\/wp-json\/wp\/v2\/categories?post=266609"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/designcopy.net\/en\/wp-json\/wp\/v2\/tags?post=266609"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}