🤖⚔️🤖 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
mconcatPOWER I · #4957Υ Yield
- Υ Yield · trails · 7
- Cost · cost leader · $0.47/1M
- Leverage · deep reuse · 49×
- Efficacy · strong · 12.56
- Scale · heavyweight · 58701376.9K tok
VS5–5
The FieldSEEKER I · #116442Υ Yield
- Leverage · closed loop · 300×
- Υ Yield · leads 60× · 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
mconcatDataThe Field
Raw
1145.9MInput29.8K
171.2MOutput44.0K
56119.0MCache-read8.9M
1265.3MCache-write470.4K
58701.4MTotal9.5M
$0.47Cost$0.55
Metrics
7Υ Yield442
13.0%SNR59.6%
49×Leverage300×
0.15Velocity1.47
1.6910xDEV2.48
$0.47Cost per 1M$0.55
12.56Efficiency79.22
49:1:0.15Op Ratio300:1:1.5
58701.4MTotal9.5M
Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade