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@@ -33,6 +33,7 @@ generative AI models as served through an inference server.
 For large language models (LLMs), GenAI-Perf provides metrics such as
 [output token throughput](#output_token_throughput_metric),
 [time to first token](#time_to_first_token_metric),
+[time to second token](#time_to_second_token_metric),
 [inter token latency](#inter_token_latency_metric), and
 [request throughput](#request_throughput_metric).
 For a full list of metrics please see the [Metrics section](#metrics).
@@ -355,6 +356,7 @@ the inference server.
 | Metric | Description | Aggregations |
 | - | - | - |
 | <span id="time_to_first_token_metric">Time to First Token</span> | Time between when a request is sent and when its first response is received, one value per request in benchmark | Avg, min, max, p99, p90, p75 |
+| <span id="time_to_second_token_metric">Time to Second Token</span> | Time between when the first streaming response is received and when the second streaming response is received, one value per request in benchmark | Avg, min, max, p99, p90, p75 |
 | <span id="inter_token_latency_metric">Inter Token Latency</span> | Time between intermediate responses for a single request divided by the number of generated tokens of the latter response, one value per response per request in benchmark | Avg, min, max, p99, p90, p75 |
 | Request Latency | Time between when a request is sent and when its final response is received, one value per request in benchmark | Avg, min, max, p99, p90, p75 |
 | Output Sequence Length | Total number of output tokens of a request, one value per request in benchmark | Avg, min, max, p99, p90, p75 |