🤖⚔️🤖 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
Turbo CoderSEEKER II · #45710Υ Yield
- Υ Yield · trails · 10
- Cost · cost leader · $0.47/1M
- Leverage · deep reuse · 75×
- Efficacy · strong · 19.52
- Scale · heavyweight · 5221586.3K tok
VS5–5
The FieldSEEKER I · #116442Υ Yield
- 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 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.
Turbo CoderDataThe Field
Raw
66.0MInput29.8K
8.4MOutput44.0K
4978.7MCache-read8.9M
168.4MCache-write470.4K
5221.6MTotal9.5M
$0.47Cost$0.55
Metrics
10Υ Yield442
11.3%SNR59.6%
75×Leverage300×
0.13Velocity1.47
1.8810xDEV2.48
$0.47Cost per 1M$0.55
19.52Efficiency79.22
75:1:0.13Op Ratio300:1:1.5
5221.6MTotal9.5M
Related: All-Time Leaderboard · Hall of Signal · Methodology · Yield (Υ) Cascade