← Back to context

Comment by hydra-f

5 days ago

Yes, and the price reflects that

I'm not familiar with model pricing trends, did they clearly state how the new pricing compares? (Note that I'm actually asking a question, and am not arguing)

EDIT: Oh I see, this is the best link for pricing https://platform.claude.com/docs/en/about-claude/pricing

So the price is double across the board...

  • >Fable 5 and Mythos 5 are being offered at $10 per million input tokens and $50 per million output tokens

    From their pricing page, Opus 4.8 costs $5 per million input tokens and $25 per million output tokens [1].

    [1] https://platform.claude.com/docs/en/about-claude/models/over...

    • Still cheaper than Opus 4.0 and 4.1 (which was and still is $15/MTok input and $75/MTok output)

      I would have expected Mythos to be much more expensive than just 2x current Opus (which is clearly cheaper to run than original Opus)

  • Token prices have increased, but it's not really the whole story at this point, given some models will use far more tokens to complete a task than others. One of the charts in Anthropic's blog posts shows Fable at 'low' reasoning achieving better results for less money than Opus on 'high'.

  • As per OpenRouter:

    Input Price $10/M tokens

    Output Price $50/M tokens

    Cache Read $1/M tokens

    Cache Write $12.50/M tokens

    2x Claude Opus 4.8, same as Claude Opus 4.8 (Fast)

    Frankly, not even Opus 4.8 would be enough of an incentive to use at that price range (enterprise-wise; would not even bat an eye as a consumer)

    • Depends no the Enterprise - obviously - in the bay area - 0% of the tech companies care in the slightest. And I'm willing to wager < 5% of enterprises would send their traffic to OpenRouter. Most of them don't even want to send traffic directly to Anthropic or OpenAI - which is why Bedrock has gotten so much traction lately.

      But - these $3k-$5k/month/engineer bills are going to start to get attention soon - only question is whether the response is to slow down on the $$$ spending or reduce the # of engineers.