Speed Inputs
Model output length, token throughput, and first-token latency.
Latency planning for streamed responses
Token Speed Visualizer
Estimate LLM response time from output tokens, tokens per second, and first-token latency.
Latency ModelToken TimelineResponse Estimate
Token speed
Estimate perceived response time from latency, throughput, and output length.
Inputs
Model speed, first-token latency, and output length.
Total time27.3s
1,200 tokens
45 tok/s · 650 ms
Total time27.3s
Generation26.7s
Output / prompt0.40x
Token timeline
1,200 tokens at 45 tok/s150
4.0s
300
7.3s
450
10.7s
600
14.0s
750
17.3s
900
20.6s
1,050
24.0s
1,200
27.3s
Faster first-token latency improves perceived responsiveness; higher token throughput matters most for long answers, code generation, and report drafts.
Capabilities
What this tool handles
Use Token Speed Visualizer to check the input, tune the settings, and copy a clean output.
Time Estimate
See total response time and generation-only time.
Timeline View
Visualize token delivery across the response.
Workflow
Run it in three steps
Estimate how long an LLM response may take to stream.
1
Enter Token Counts
Set prompt tokens and expected output tokens.
2
Set Speed
Add tokens per second and first-token latency.
3
Review Timeline
See total time and token delivery checkpoints.
Good for
Common jobs this tool supports
Time EstimatePlan response duration
Timeline ViewSee token stream progress
Throughput MathModel speed tradeoffs
Latency PlanningInclude first-token delay
FAQ
Answers before you run it
Practical notes about output, privacy, and common settings.
Tokens per second measures how quickly a model streams generated output after it starts responding.
Use next