Unverified50% confidenceFactExact time
The poster's usage comparison, tallied with the ccusage tool, is: total tokens about 8.1×, output tokens about 26.3×, and API-equivalent cost about 12×.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/27/2026
First Seen
Valid until: 11/10/2026
Sources
Related Entities
Related Claims
VerifiedThe price of output tokens for large language models is typically 4–8 times that of input tokens, because output involves autoregressive generation requiring multiple forward passes, resulting in higher marginal costs.65% similarUnverifiedFor developers, an API that is close to the frontier in capability but 2-3 times faster in response may be worth more in real products than one or two percentage points on benchmark scores.64% similarUnverifiedIn the advisor pairing mode, each 1 percentage point improvement in performance requires paying about 1.24 times more cost.63% similarUnverifiedA model's maximum input length, API billing, and inference cost are usually all calculated by the number of tokens.63% similarUnverifiedAccording to data from Artificial Analysis, the number of reasoning tokens per task doubled from approximately 42,000 in Opus 5 to 84,000 in Opus 5.5, while output tokens only increased from 30,000 to 35,000.63% similar
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