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AI Business & IndustryTHE DECODERPublished: Jun 30, 2026, 04:00 JST

Amazon engineers distill Anthropic models ahead of token-based pricing shift

Amazon engineers distill Anthropic models ahead of token-based pricing shift

3 Key Points

  1. What happened

    Some Amazon engineers are building smaller, cheaper versions of Anthropic's Claude models through distillation (a technique where a smaller model learns from a larger model's outputs) for internal use, according to The Information. This effort follows Amazon's renegotiation with Anthropic, which will switch from paying based on compute hours to a token-based pricing model starting next year.

  2. Why it matters

    The shift to token-based pricing could push Amazon's costs up sharply, prompting the company to explore cost-reduction strategies. Amazon has invested up to $25 billion(約4兆円) more in Anthropic and up to $50 billion(約8兆円) in OpenAI this year, making efficiency gains meaningful to its bottom line. An Amazon spokesperson disputed that costs will rise, while Anthropic points to lower prices relative to model performance.

  3. What to watch

    Amazon is reportedly exploring alternatives including OpenAI and its own Nova models. Currently, Anthropic's Claude models are not available on Amazon's Bedrock distillation service—only Amazon's own Nova models and Meta's Llama models are supported there.

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FAQ
How does distillation work?
Distillation is a technique where a smaller model learns from a larger model's outputs, allowing Amazon to create cheaper versions of Anthropic's models for internal use.
Why is Amazon doing this now?
Starting next year, Amazon will pay for Anthropic's models based on tokens processed rather than compute hours, which could push costs up sharply, prompting Amazon to explore cost-reduction approaches.
Can Amazon legally distill Anthropic models?
Yes, Amazon has certain rights to use Anthropic's models for distillation purposes, according to a person familiar with the matter, similar to Apple's arrangement with Google Gemini.

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