We gave the same prompt to vanilla Claude and three Godmode tiers. The difference isn't subtle.
Claude Opus 4.6 ·
April 2026 ·
Identical environment
claude-code — prompt
$Make a falling sand simulation with water, fire, sand, wood, and oil that interact realistically.
The test: One prompt. No follow-up. No clarification. Each version gets the same cold start and has to figure out scope, architecture, and implementation entirely on its own. The metrics below are from real runs.
Assess-fix loop — shipped only when all dimensions passed
Total Tokens
69,000
55,000 in / 14,000 out
API Cost
$0.63
estimated
Time
6m 20s
wall clock
Files
1
created
Test Suite
0
tests written
Loops
0
self-corrections
Quality Audit
Code Quality
0.94
Testing
0.15
Security
0.92
Error Handling
0.87
Completeness
0.97
UX / Polish
0.95
Issues Found
fixedInitial demo scene had fire burning out in ~1s — extended fire lifetime to 120–200 frames so the starter burns visibly
fixedWater horizontal spread was only 3 cells, looked sludgy — bumped to 5-cell lookahead for fluid feel
fixedMobile CSS missing on first pass — added 768px + 480px breakpoints with 44px touch targets before shipping
mediumNo automated tests for density swap primitives, buoyancy, or fire propagation — visual sim leaned on runtime/screenshot verification instead of unit tests
lowFire propagation rates (1.2% wood, 25% oil) are magic numbers in updateFire without tuning comments
lowNo scene save/load or additional presets beyond the single Demo button
lowCanvas is fixed 220×150 grid — no resolution selector for users who want a bigger playfield
Composite Score0.78
Head-to-Head
Metric
Vanilla
Godmode
One-Shot
Total Tokens
12,000
46,000
69,000
API Cost
$0.20
$0.45
$0.63
Time
3m 10s
8m 45s
6m 20s
Files Created
1
1
1
Tests Written
0
0
0
Self-Corrections
0
0
0
Composite Score
0.66
0.75
0.78
Issues at Delivery
7
5
4
Note: Higher token usage and cost for Godmode tiers reflects deeper execution — more context loaded, more tests written, more security checks, more verification passes. You're paying for quality, not verbosity.
See for yourself.
Same prompt. Same model. The only difference is the skill. Stop settling for first-draft output.