Unverified50% confidenceFactExact time
The price difference between input and output reflects the engineering reality that generating tokens requires more computation than processing tokens.
1
Sources
50%
Confidence
Long-term
Relevance
10/2/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAt the hardware level, the cost of division and modulo operations is far greater than that of addition, multiplication, and bit shifts.74% similarPartially VerifiedA higher acceptance rate means the draft model's guesses are more accurate and the large model needs to redo less work, which directly determines the actual speedup achieved by speculative decoding.71% similarUnverifiedThe price gap between models is increasingly reflected in engineering delivery closure rather than in the code itself.71% similarVerifiedThe generation phase is essentially a serial process that cannot be fully parallelized the way input encoding can, resulting in relatively low GPU utilization—this is the technical reason why output costs are inherently higher than input costs.71% similarVerifiedIncreasing the number of inference passes incurs higher computational costs but in exchange lowers the complexity of each individual task—this is the trade-off of the grouped extraction strategy.71% similar
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