🤖⚔️🤖 Manus ad Manum
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
vsOperator B
fivesmallqREFINER I · #4689Υ Yield
- Υ Yield · trails · 9
- Cost · cost leader · $0.56/1M
- Leverage · deep reuse · 40×
- Efficacy · strong · 10.31
- Scale · heavyweight · 2961351.1K tok
VS4–6
The FieldSEEKER I · #116442Υ Yield◆ Leads 6–4
- Leverage · closed loop · 300×
- Υ Yield · leads 48× · 442
- Cost · cost leader · $0.55/1M
- Velocity · fast · 1.5 o/i
- Efficacy · strong · 79.22
Raw shape↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Metric shape↑ higher is better · ↓ lower is better (cost) — both reach outward when good
Not enough history yet — both operators need at least two snapshots to chart Υ Yield trajectory.
fivesmallqDataThe Field
Raw
70.1MInput29.8K
16.2MOutput44.0K
2772.7MCache-read8.9M
102.3MCache-write470.4K
2961.4MTotal9.5M
$0.56Cost$0.55
Metrics
9Υ Yield442
18.8%SNR59.6%
40×Leverage300×
0.23Velocity1.47
1.6010xDEV2.48
$0.56Cost per 1M$0.55
10.31Efficiency79.22
40:1:0.23Op Ratio300:1:1.5
2961.4MTotal9.5M
Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade