Unverified50% confidenceFactExact time
Output 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.
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50%
Confidence
Long-term
Relevance
9/2/2026
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Related Claims
UnverifiedAPI 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% similarUnverifiedThe price of output tokens is typically 4–6 times that of input tokens, stemming from the computational differences between the prefill and decode phases, with GPU utilization during the decode phase potentially being only 10–20% of that during prefill75% similarUnverifiedThe 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.74% similarUnverifiedThe cost of output tokens in LLMs is typically 3–6 times that of input tokens, because generation requires autoregressive token-by-token inference.72% similarUnverifiedThe computational load of the attention mechanism is proportional to the square of the sequence length, meaning doubling the context increases computation fourfold.71% similar
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