Workflow Archetypes
Select preset
Speed Tiers Comparison
Dual Benchmarking
Engine A (Legacy / Cloud)
50 tok/s
Engine B (Ultra-Speed / LPU)
750 tok/s
Agent Loop Parameters
12 loops
18,000 tok
45,000 tok
450 ms
650 ms
The 750 tok/s Inversion Principle
At 50 tok/s, complex multi-step agents are bottlenecked by autoregressive streaming latency, forcing prompt compression and reducing reasoning depth. At 750+ tok/s, token generation latency drops below tool-call roundtrips, unlocking real-time tree search, multi-hypothesis rollouts, and human-in-the-loop flow states.
Synchronized Live Token Stream
READY
Sim Time: 0.00s
Playback Speed:
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Engine A: 50 tps
0 / 18000 tok
// Engine A waiting for execution start...
Progress: 0%
Latency: 0.0s
Engine B: 750 tps
0 / 18000 tok
// Engine B initialized with 750 tok/s pipeline...
Progress: 0%
Latency: 0.0s
Agentic Orchestration Waterfall Timeline
Visual breakdown of TTFT Prefill (Amber) vs Autoregressive Generation (Cyan) vs Tool Overhead (Purple)
TTFT Wait
Token Gen
Tool Exec
Total End-to-End Latency
Engine A (50 tps)
373.2s
Engine B (750 tps)
37.2s
Speedup Factor:
10.0x faster
Human Cognitive Flow Tier
50 tps:
Context-Disruptive (>6 min)
750 tps:
Interactive Flow (<40s)
Nielsen UX threshold: <1s instant, <10s attention limit.
Cost & Scale Economics
Cost Per 1k Runs
$27.00
Daily Agent Vol/GPU
2,320 runs
Developer Time Saved:
5.6 min/run
Full Generation Tier Benchmark Matrix
Comparative analysis of current parameters modeled across all 5 industry inference archetypes
| Inference Tier | Velocity (tok/s) | Gen Duration | TTFT & Overhead | Total Run Latency | Perceived Wait | 24h Task Capacity |
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