As a software engineer who has monitored LLM viability as a coding assistant, the idea that 90% of Anthropic's lifetime revenue up to the end of Q1, was in Q1 itself, seems completely realistic to me.

And if every model is profitable but they're getting income on a model that costs X while training the one that costs 10X, everything else makes sense too, and this is indeed their highly reasonable claim.

Anthropic is selling a lot of tokens to companies at full price right now, where it's almost certainly very profitable given that Opus costs several times the current going prices for open model inference.

Dupe https://news.ycombinator.com/item?id=48230001

The cost of compute and inference efficiency keeps dropping. Deepseek has numerous advantages here that Anthropic has not likely implemented.

If we assume the current rate of 10x reduction every year or so, profitability is inevitable. It’s just a market-share cash-fight at the top right now.