🤖⚔️🤖 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
codemathBASE II · #4699Υ Yield
- Υ Yield · trails · 9
- Cost · cost leader · $0.62/1M
- Leverage · deep reuse · 44×
- Efficacy · strong · 11.62
- Scale · heavyweight · 13875232.0K tok
VS4–6
The FieldSEEKER I · #116442Υ Yield◆ Leads 6–4
- Leverage · closed loop · 300×
- Υ Yield · leads 49× · 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
codemathDataThe Field
Raw
292.3MInput29.8K
61.0MOutput44.0K
12716.6MCache-read8.9M
805.4MCache-write470.4K
13875.2MTotal9.5M
$0.62Cost$0.55
Metrics
9Υ Yield442
17.3%SNR59.6%
44×Leverage300×
0.21Velocity1.47
1.6410xDEV2.48
$0.62Cost per 1M$0.55
11.62Efficiency79.22
44:1:0.21Op Ratio300:1:1.5
13875.2MTotal9.5M
Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade