| ▲ | 2001zhaozhao 8 hours ago | ||||||||||||||||||||||
Pricing: $5/1M input, $30/1M output (same input price and 20% more output price than Opus 4.7) | |||||||||||||||||||||||
| ▲ | tedsanders 6 hours ago | parent | next [-] | ||||||||||||||||||||||
Yep, it's more expensive per token. However, I do want to emphasize that this is per token, not per task. If we look at Opus 4.7, it uses smaller tokens (1-1.35x more than Opus 4.6) and it was also trained to think longer. https://www.anthropic.com/news/claude-opus-4-7 On the Artificial Analysis Intelligence Index eval for example, in order to hit a score of 57%, Opus 4.7 takes ~5x as many output tokens as GPT-5.5, which dwarfs the difference in per-token pricing. The token differential varies a lot by task, so it's hard to give a reliable rule of thumb (I'm guessing it's usually going to be well below ~5x), but hope this shows that price per task is not a linear function of price per token, as different models use different token vocabularies and different amounts of tokens. We have raised per-token prices for our last couple models, but we've also made them a lot more efficient for the same capability level. (I work at OpenAI.) | |||||||||||||||||||||||
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| ▲ | oh_no 7 hours ago | parent | prev | next [-] | ||||||||||||||||||||||
yes but as far as i know gpt tokenizer is about the same as opus 4.6's, where 4.7 is seeing something in the ballpark of a 30% increase. this should still be cheaper even disregarding the concerns around 4.7 thinking burning tokens | |||||||||||||||||||||||
| ▲ | sergiotapia 7 hours ago | parent | prev [-] | ||||||||||||||||||||||
That pricing is extremely spicy, wow. | |||||||||||||||||||||||
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