Calculating Model Response Wait Time | Generated by AI
We can work it out step by step.
From the record:
- tokens_completion = 9532
- throughput isn’t shown here, but you asked “tokens ÷ tokens per second.”
The request has:
generation_time = 203477 ms→ 203.477 secondstokens_completion = 9532
Now compute the actual throughput:
\[\text{tokens per second} = \frac{9532}{203.477} \approx 46.8\]So the user needed to wait about 203 seconds (~3 minutes 23 seconds) for the response.
If you already know the model’s throughput (tokens/second), then the wait time is simply:
\[\text{wait time} = \frac{\text{tokens\_completion}}{\text{tokens per second}}\]In this case, the log already gives both sides (time and tokens), so the calculation matches.
👉 Short answer: The user waited about 203 seconds (~3 minutes 23 seconds) for the 9532 tokens, at ~47 tokens/second.
Do you want me to also show you a general formula you can reuse for other logs (using latency, throughput, and token counts)?