Lesson 498 of 2116
Frontier Latency And Streaming Patterns
Frontier models can be slow. Streaming, partial rendering, and server-sent events turn 'feels broken' into 'feels fast'.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1Two latencies that matter
- 2latency
- 3streaming
- 4time to first token
Concept cluster
Terms to connect while reading
Section 1
Two latencies that matter
Frontier latency comes in two flavors: time to first token and total completion time. A reasoning model with 30-second total time but 2-second time to first token feels far better than a 15-second model that emits nothing for 14 seconds. UX tracks perception, not sum.
Streaming patterns that work
- 1Stream tokens to the UI as soon as they arrive — never buffer
- 2Show a 'thinking' indicator before the first token
- 3Display reasoning traces if the user asks (some models expose this)
- 4Render code blocks progressively, not at the end
- 5For long completions, surface the running outline first
Compare the options
| Pattern | Best for | Risk |
|---|---|---|
| Token-by-token streaming | Chat UIs | Layout shift if not styled |
| Block-by-block streaming | Document drafts | Less granular feedback |
| Status updates from agents | Long-running tasks | Spammy if too frequent |
| Buffered final response | Structured outputs | Feels broken |
Applied exercise
- 1Measure time-to-first-token for your top three frontier endpoints
- 2Anything over 3 seconds gets a streaming or progressive UX
- 3Add a 'thinking' indicator if the model takes a moment
- 4Re-test perceived speed with a teammate — not your own metric
Key terms in this lesson
The big idea: latency is what users feel, not what the stopwatch says. Stream early and the slow model feels fast.
End-of-lesson quiz
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