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Interactive 3D/Streaming LLM Responses
Token Streaming Visualization
Compare streaming vs non-streaming UX at Medium (55 t/s).
StreamingACTIVE
Click "Run Demo" to start…
Non-Streaming
Non-streaming mode offNon-streaming disabled
TTFT
-
Time to first token
Token Rate
-
Generation speed
Total Latency
-
End-to-end
UX Comparison
Dimension
Streaming
Non-Streaming
Perceived latency
Low (TTFT)
High (full wait)
User anxiety
Low
High
Interruption
Possible mid-stream
After full gen
Progress visible
Yes
No
Server complexity
SSE / WebSocket
Simple HTTP
Model Speed
Streaming Mode
Response Length
Expected Metrics
TTFT: 420ms
Rate: 55 t/s
Total: ~2056ms

Streaming LLM Responses - Interactive Visualization

Streaming LLM responses via Server-Sent Events dramatically improves perceived latency - users see the first token in under 500ms instead of waiting 10+ seconds for the full response. The key metric is Time to First Token (TTFT), which determines how responsive the product feels. This demo compares streaming vs non-streaming side by side and lets you explore how model size and load affect TTFT and token throughput.

  • TTFT comparison: streaming shows first token in ~300ms vs 8-12s wait for non-streaming
  • Token throughput: see tokens-per-second rates for fast (GPT-4o mini), medium, and slow models
  • SSE protocol: visualize the Server-Sent Events stream with delta chunks arriving in real time
  • UX impact: measure perceived vs actual latency - streaming feels 3-5x faster to users

Part of the EngineersOfAI Interactive 3D - free interactive visualizations covering every major concept in machine learning and AI engineering. Hover any element for a plain-English explanation. No code required.