Unverified50% confidenceFactExact time
Shorter output tokens can simultaneously slow context expansion and reduce per-step generation time, making long loops more affordable in both cost and latency.
1
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50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
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Related Claims
UnverifiedFewer input tokens generally mean lower processing latency.78% similarUnverifiedToken reduction brings three chain effects: lower cost, improved latency, and enhanced scalability.77% similarUnverifiedThe cost of token usage shows a continuous downward trend, driven by reductions in hardware compute costs, improvements in algorithmic efficiency such as MoE, quantization, and speculative decoding, and competition from open-source models.73% similarUnverified减少输出Token可以提升模型响应速度，因为模型生成更少的文字72% similarUnverifiedHigh throughput is achieved through batching, which increases the total number of tokens processed per unit of time but raises time-to-first-byte latency; low latency requires small batches or no batching, which reduces hardware utilization and raises the cost per token.72% similar
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