Unverified50% confidenceFactExact time
The High configuration with extended chain-of-thought reasoning needs to process a large number of internal reasoning tokens during the prefill stage, so TTFT is typically several to tens of times that of the standard version.
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50%
Confidence
Long-term
Relevance
9/30/2026
First Seen
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Related Claims
Unverified传统混合部署中Prefill阶段的大批量计算会阻塞Decode阶段的token生成，导致TTFT波动剧烈75% similarUnverifiedModern large model inference typically uses batching technology to improve GPU utilization, and backlogs in the batching queue during peak periods cause the time to first token (TTFT) to become longer.70% similarVerifiedInference latency is typically decomposed into two core metrics: time to first token (TTFT) and subsequent token generation throughput.68% similarUnverifiedHigh aggregate throughput often comes at the cost of larger batch sizes, and large batches drive up the time-to-first-token (TTFT) latency for individual requests.66% similarUnverified推理强度档位（low/medium/high/xhigh）本质上是控制模型被允许生成的思维链token数上限，档位越高等待时间越长65% similar
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