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Is Claude or OpenAI prompt caching cheaper in practice?

Historical consensus 2026-08-11 Active
Runs Weekly on Tuesday at 09:00 (Europe/Berlin) Last 2026-09-01 09:17 Europe/Berlin Next 2026-09-08 09:00 Europe/Berlin

Movement at this check

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Agreement
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Agreement over time

64/100
2026-08-11: 64/100 · No material movement 2026-08-18: 90/100 · Refined the pricing comparison to clarify that both providers offer similar cache read discounts (~90%) and that total cost differences often stem from underlying base model prices, while maintaining the same core conclusions regarding which provider to choose for different workload patterns. 2026-08-25: 75/100 · Restated, not moved: The consensus shifted from stating OpenAI is usually cheaper in default practice to clarifying that neither is universally cheaper. It adds explicit mathematical breakdowns, details on OpenAI's tiered cache read discounts (0.1x to 0.5x) vs. Claude's write premiums/5-minute window, and broader workload nuances. 2026-09-01: 64/100 · No material movement View full chart
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64 /100
agreement
  • 3 AI models
  • 1 contradiction
  • 24 sources
Consensus OpenAI GPT-5.4 mini
Models consulted
  • OpenAI GPT-5.6 Luna
  • Google Gemini Gemini 3.5 Flash-Lite
  • Grok Grok 4.3 · No reasoning

Consensus at this check

In practice, it depends on the workload and the model tier:

  • OpenAI is usually cheaper for simple, bursty, or unpredictable reuse, because cached input is typically discounted and there’s often no separate cache-write charge on newer models.openaiopenai
  • Claude is often cheaper for heavy reuse of a large, stable prefix—for example, long system prompts, RAG context, or agent loops—because cached reads are very cheap, at about 0.1× the normal input price, even though cache creation costs more.anthropic

Rule of thumb

  • Few repeated calls or irregular timing: OpenAI tends to win.
  • Many repeated calls over a stable prefix: Claude often wins.
  • Same model capability tier matters a lot: a cheaper cache rate does not always mean lower total cost if the base model price is higher.

Why the answer is not one-size-fits-all

Claude’s caching has a write premium—about 1.25× for a 5-minute cache or 2× for a 1-hour cache—but then reads are very cheap.anthropic OpenAI’s caching is generally simpler operationally and usually cheaper when the cache is only hit a few times, but its discount is often smaller on older or mid-tier setups.openaiopenai

Practical bottom line

  • If you want the lowest cost for lots of repeated reuse of the same prefix, Claude often comes out cheaper.
  • If you want the best economics for light or unpredictable reuse, OpenAI is usually cheaper in practice.

If you’re deciding for a real workload, the best comparison is to plug in your own:

  1. prompt size,
  2. expected cache hit rate,
  3. reuse frequency,
  4. and model prices.

That usually determines the winner more than the cache mechanism alone.

Differences

1 notable difference (1 contradiction) across 3 models.

contradiction · critical

OpenAI prompt caching write cost

OpenAI has no separate cache-write charge

OpenAI

“not charge separately for cache writes or storage”

Newer GPT-5.6+ models add a 1.25x write premium

Grok

“Newer GPT-5.6+ models add explicit breakpoints (for control), a 1.25× write premium”

How to verify: Double check if newer OpenAI models charge a write premium or not.

Best answerOpenAI

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Sources

  1. 1 Introducing GPT-5.1 for developers | OpenAI openai.com
  2. 2 Pricing - Anthropic docs.anthropic.com
  3. 3 OpenAI API Pricing | OpenAI openai.com
  4. 4 Scale Tier for API Customers | OpenAI openai.com
  5. 5 Prompt Caching in the API | OpenAI openai.com
  6. 6 openai.com
  7. 7 developers.openai.com
  8. 8 help.apiyi.com
  9. 9 labeveryday.medium.com
  10. 10 aimagicx.com
  11. 11 prompthub.us
  12. 12 edenai.co
  13. 13 arxiv.org
  14. 14 learn.microsoft.com
  15. 15 technspire.com
  16. 16 youtube.com
  17. 17 edenai.co
  18. 18 gingerlabs.ai
  19. 19 reddit.com
  20. 20 platform.claude.com
  21. 21 gingerlabs.ai
  22. 22 platform.claude.com
  23. 23 developers.openai.com
  24. 24 openai.com

Position Map

Where the models stand

Each row is one part of the answer. The cards show the distinct positions; the model chips show who supports each one.

0/100 Direction Shift · Stable
Models disagree

OpenAI provides a 50% discount on cached reads without write fees versus matching Claude's 90% read discount and 1.25x write fee.

Position 1

OpenAI provides a 50% discount and charges no write surcharge.

  • Gemini
Position 2

Older OpenAI models offer 50% off with no write fee, whereas newer models offer 90% off and some charge a 1.25x write fee.

  • DeepSeek
Position 3

OpenAI's current models match Claude with a 0.1x read price and 1.25x write surcharge.

  • OpenAI
See how each model moved across checks
Model position movement by watch date
ModelAug 11Aug 18Aug 25Sep 01
OpenAI
Grok — —
Gemini —
DeepSeek — — —
Same positionChanged position

Cite this answer

consens.io. (2026-08-11). Consensus answer to "Is Claude or OpenAI prompt caching cheaper in practice?". Models consulted: OpenAI: gpt-5.6-luna, Google Gemini: gemini-3.5-flash-lite, Grok: grok-4.3-no-reasoning. Consensus model: OpenAI. Sources: https://openai.com/index/gpt-5-1-for-developers/?utm_source=openai, https://docs.anthropic.com/en/docs/about-claude/pricing?4810b549_page=3&73cdfb14_page=2&939688b5_page=1&e768fcd2_page=2&utm_source=openai, https://openai.com/api/pricing/?_conv_s=null&utm_source=openai, https://openai.com/api-scale-tier/?utm_source=openai, https://openai.com/index/api-prompt-caching/?utm_source=openai, https://openai.com/index/api-prompt-caching/, https://developers.openai.com/api/docs/pricing, https://help.apiyi.com/en/openai-vs-claude-prompt-caching-pricing-comparison-en.html, https://labeveryday.medium.com/prompt-caching-is-a-must-how-i-went-from-spending-720-to-72-monthly-on-api-costs-3086f3635d63, https://www.aimagicx.com/blog/prompt-caching-claude-api-cost-optimization-2026, https://www.prompthub.us/blog/prompt-caching-with-openai-anthropic-and-google-models, https://www.edenai.co/post/prompt-caching-claude-vs-gpt-vs-gemini-cost-playbook, https://arxiv.org/html/2601.06007v2, https://learn.microsoft.com/en-us/answers/questions/5535653/low-cache-hit-rate-for-large-fixed-system-prompt-i, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGaMm5lG_V5J-KotcLkLT1J-keyROEg95Ib7Q8Dmid6a4SsXPGPObQMzBgXJAIol9XLkbEq4AD6W1T_FVczIVJgH3YTn5mgYjKNbi59QYD88sLOl9WCWupEDohGy7lFoWgGGvVxR2rK9OT-P414hXHEsRwKO2VoLQ==, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHJLUlUPuGcAqquR55lTUOgmSg4rqFBK9ixoPqjUmT7Ry2vgBsUnsz9knSKrA9sQHVcADaQKCjVoivqs9pwvAnsv9EYVovo9Uai8-OITKvhZnXa2AfD6BWaLkoJ1O8T65fu, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFdwqpXEeR48Dxq7jGfOETKPV_mN-QgkMRGMA2-HOUNOcE8dyZ2Dq_UQcaqfweV_EcGKbwSDfrPEfczdAsFGkfKlhbfzqlCRiYKX9Heoh1pHBvPOPhzqWgq8FdXXcNvNlm0r-y7LMRubHm7tGpS73z0R8PeO3ck9E7tNYFYFM6iTVHGE9Gu, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE4GbeCLgmddzSmDiiah7i0MR68pWph2jTtd0iIOSQZAZzRRRZU68Rtix0siuObgE9sHGh3niqQwLJAQEeRKHBwYQZxVehC-Yhktf4utwQn7PMlSGEX6XNpNOdG7kD74xCoZN5Sz7MOSDk1IgUA38Y-xMxW, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH1GJljcZV0ce1OcxzXtat_yw0H_lU4U3ZWCEA6MiPPBnwEH8RPT__EbNQrmMwCZJEE0L1wtdg4q_YfrlBT7-d4toZaHOOYMcxUc84dDEdMuMT4ehkrFv5loKUtBr4hVenL6UmS6zrMXFHWKr9r4i50TfoXptifcnjyRstVutiZPPSKwiOlLtxNXPVYnOgZaA1KGTZ6XSW9, https://platform.claude.com/docs/en/about-claude/pricing, https://gingerlabs.ai/blog/openai-vs-anthropic-prompt-caching, https://platform.claude.com/docs/en/build-with-claude/prompt-caching, https://developers.openai.com/api/docs/guides/prompt-caching, https://openai.com/index/gpt-5-6/ Retrieved from https://www.consens.io/s/is-claude-or-openai-prompt-caching-cheaper-in-practice-KaTChmKxXX90G0vc?version=e81c3bdc3dc91fad35d0f7ca

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Consensus Watch

Run history

64/100 latest agreement
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Agreement over time

How strongly the models support the same claims. Every point links to its run below.

100 50 0 2026-08-11: 64/100 · No material movement 2026-08-18: 90/100 · Refined the pricing comparison to clarify that both providers offer similar cache read discounts (~90%) and that total cost differences often stem from underlying base model prices, while maintaining the same core conclusions regarding which provider to choose for different workload patterns. 2026-08-25: 75/100 · Restated, not moved: The consensus shifted from stating OpenAI is usually cheaper in default practice to clarifying that neither is universally cheaper. It adds explicit mathematical breakdowns, details on OpenAI's tiered cache read discounts (0.1x to 0.5x) vs. Claude's write premiums/5-minute window, and broader workload nuances. 2026-09-01: 64/100 · No material movement 2026-08-11 2026-09-01

Checks

Newest first. Open any saved result to read the full consensus from that date.

  1. 2026-09-01 Stable
    64/100 agreement

    No meaningful movement detected in this check.

    Open this consensus
  2. 2026-08-25 Stable
    75/100 agreement

    Restated, not moved: The consensus shifted from stating OpenAI is usually cheaper in default practice to clarifying that neither is universally cheaper. It adds explicit mathematical breakdowns, details on OpenAI's tiered cache read discounts (0.1x to 0.5x) vs. Claude's write premiums/5-minute window, and broader workload nuances.

    Open this consensus
  3. 2026-08-18 Meaningful change
    90/100 agreement

    Refined the pricing comparison to clarify that both providers offer similar cache read discounts (~90%) and that total cost differences often stem from underlying base model prices, while maintaining the same core conclusions regarding which provider to choose for different workload patterns.

    Open this consensus
  4. 2026-08-11 Stable
    64/100 agreement

    No meaningful movement detected in this check.

    Open this consensus

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About this tracked question

3 AI models answered this question independently on 2026-08-11. A judge from a different model family then cross-checked the answers, scored how far they agree and flagged where they differ. The question is re-checked weekly, and every earlier version stays on this page.

AI models can make mistakes – verify important information against the sources above.

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