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Are OpenAI and Anthropic losing money on inference?

(martinalderson.com)
507 points martinald | 1 comments | 28 Aug 25 10:15 UTC | HN request time: 0.236s | source
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sc68cal ◴[28 Aug 25 15:12 UTC] No.45053212[source]▶
This whole article is built off using DeepSeek R1, which is a huge premise that I don't think is correct. DeepSeek is much more efficient and I don't think it's a valid way to estimate what OpenAI and Anthropic's costs are.

https://www.wheresyoured.at/deep-impact/

Basically, DeepSeek is _very_ efficient at inference, and that was the whole reason why it shook the industry when it was released.

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CjHuber ◴[28 Aug 25 15:26 UTC] No.45053401[source]▶
The reason it shook the market at least was because of the claim that its training cost was 5 million.
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1. vitaflo ◴[28 Aug 25 18:59 UTC] No.45055728[source]▶
Also the fact that it cost 10% of what other models cost. Pretty much still does.