Verified65% confidenceFactExact time
The 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.
3
Sources
65%
Confidence
Long-term
Relevance
8/24/2026
First Seen
Sources
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Related Claims
UnverifiedReasoning models may consume several times or even more than ten times the output tokens, directly driving up API call costs.77% similarUnverifiedOutput token pricing is higher than input token pricing because the computational load during the generation phase is far greater than during the prefill phase.75% similarVerifiedAPI call fees are priced separately for input tokens and output tokens, and the unit price of output tokens is typically higher than that of input tokens, because the output stage requires autoregressive inference.75% similarUnverifiedOutput token pricing is typically 2–4 times that of input tokens, because the generation process requires step-by-step decoding and computation of attention weights.74% similarUnverifiedOutput tokens are typically more expensive than input tokens because outputs require autoregressive token-by-token generation, which has higher computational intensity and lower GPU utilization.73% similar
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