Early access — cascade metrics are real (derived from canonical token telemetry); the operator field is a curated seed. Learn more about the data
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Compare AI Operators

Two operators. One cascade layer. Υ Yield, SNR, Leverage, Velocity, 10xDEV & blended cost — the data tells you not just who's ahead, but where and why.

Operator A
vs
Operator B
Thomas QuantBASE I · #45910Υ Yield
  • Υ Yield · trails · 10
  • Cost · cost leader · $0.56/1M
  • Leverage · deep reuse · 35×
  • Efficacy · strong · 9.00
  • Scale · heavyweight · 17265868.7K tok
VS46
The FieldSEEKER I · #116442Υ Yield◆ Leads 64
  • Leverage · closed loop · 300×
  • Υ Yield · leads 46× · 442
  • Cost · cost leader · $0.55/1M
  • Velocity · fast · 1.5 o/i
  • Efficacy · strong · 79.22
Raw shapeInput ↑Output ↑CR ↑CW ↑Total ↑Cost ↓Thomas QuantThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shapeΥ Yield ↑Leverage ↑SNR ↑Velocity ↑10xDEV ↑Efficacy ↑$/1M ↓Op Ratio ↑Thomas QuantThe Field↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Υ YIELD · OVERTIMEThomas QuantThe FieldField avg-10982273463654Field avg 28.29.607-1309-04
Thomas QuantDataThe Field
Raw
466.4MInput29.8K
128.5MOutput44.0K
16258.3MCache-read8.9M
412.7MCache-write470.4K
17265.9MTotal9.5M
$0.56Cost$0.55
Metrics
10Υ Yield442
21.6%SNR59.6%
35×Leverage300×
0.28Velocity1.47
1.5410xDEV2.48
$0.56Cost per 1M$0.55
9.00Efficiency79.22
35:1:0.28Op Ratio300:1:1.5
17265.9MTotal9.5M
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Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade