# Time per output token (TPOT)

> Time per output token (TPOT): The average time between output tokens after the first one: how fast a streamed reply flows.

Canonical: https://llmdojo.dev/glossary/tpot

Also called time per output token, TPOT.

The average time between output tokens after the first one: how fast a streamed reply flows.

Learn it in the lesson: [Measuring a stream](https://llmdojo.dev/learn/inference-optimization/measuring-inference/measuring-a-stream) (Inference and Model Optimization · Measuring Inference: Latency, Throughput and Goodput).

## Interview questions about Time per output token (TPOT)

- [How do you get TTFT, inter-token latency, TPOT and total latency from one streamed reply?](https://llmdojo.dev/interview/q/how-do-you-get-ttft-inter-token-latency-tpot-and-total-latency)
- [What does a fair inference benchmark hold fixed?](https://llmdojo.dev/interview/q/what-does-a-fair-inference-benchmark-hold-fixed)

## Related
- [Time to first token (TTFT)](https://llmdojo.dev/glossary/ttft)
- [Inter-token latency](https://llmdojo.dev/glossary/itl)
- [Percentile (p50, p99)](https://llmdojo.dev/glossary/percentile)
- [Throughput](https://llmdojo.dev/glossary/throughput)
- [Goodput](https://llmdojo.dev/glossary/goodput)
- [Service level objective (SLO)](https://llmdojo.dev/glossary/slo)
- [Time to publish](https://llmdojo.dev/glossary/time-to-publish)
- [Glossary of every term](https://llmdojo.dev/glossary)