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Generative AI & Models2 min read

Anthropic and OpenAI adopt Chinese KV cache tricks, slash cache-read pricing

Western AI companies are now using a set of key‑value cache optimizations that Chinese lab DeepSeek released publicly.

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Key points

  • Claude Opus 5.5 cuts cache‑read pricing by 60% and GPT‑6.1 Sol by 80% after using the Chinese optimizations
  • Smaller cache lowers VRAM needs for long‑context models, improving inference margins for Western AI firms

Anthropic’s Claude Opus 5.5 and OpenAI’s GPT‑6.1 Sol have incorporated these techniques, cutting their cache‑read pricing by 60 % and 80 % respectively versus the prior versions. The lower memory footprint reduces VRAM costs for long‑context inference, making top‑tier models more margin‑positive for the Western providers.

The article notes that Chinese labs have been openly sharing such performance breakthroughs, a shift from earlier “distillation” concerns, and suggests the move may help Western firms stay competitive despite earlier GPU access constraints.

Model pages: Claude Opus 5.5 → · GPT-6.1 Sol → · DeepSeek-V4.1-Flash →

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Full story from insufferable.dev · by insufferable.dev · via Hacker NewsOpen source ↗

The AI Race Just Got Awkward

insufferable.dev · 30 September 2026

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This text was published by insufferable.dev and written by insufferable.dev. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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