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OpenAI Halves GPT-6 Token Prices, but Caching May Matter More

TL;DR: OpenAI reportedly halved GPT-6 token prices, but an analysis argues prompt caching is the bigger lever on actual API spend.

Key points

  • OpenAI is reported to have cut GPT-6 token pricing to roughly half of its prior rate.
  • The New Stack argues that prompt caching shapes real bills more than the headline per-token cut.
  • Reusing repeated system prompts and long context via the cache bills those cached input tokens at a much lower rate.

Why it matters

A 50% list-price cut is eye-catching, but for workloads that re-send the same context — agents, RAG — cache hit rate is what drives the monthly bill. The takeaway: audit your caching design before comparing sticker prices.

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How this story unfolded

  1. Price Cuts Could Complicate Anthropic's IPO Story
  2. OpenAI Cuts GPT-5.6 Sol API Pricing by Over 20%
  3. OpenAI and Anthropic Cut Prices as Chinese Rivals Close In
  4. OpenAI Reportedly Testing a Pay-to-Reset Usage Quota Feature
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— Large Language Model의 약자로, '거대 언어 모델'이라고 해요. ChatGPT, Claude 같은 AI가 바로 LLM이에요. 엄청나게 많은 텍스트를 학습해서 사람처럼 글을 쓰고 대화할 수 있어요.

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