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Lesson 07 of 10 · published

Cost, Speed, and Controllability

~17 min · models, tradeoffs, l7

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피파 한 줄 정리: 초보 = 'pretty 한 모델 뭐?' 프로 = '비용·속도·controllability'. 이 hidden dimension들이 종종 raw quality보다 production에 더 중요해.

Beginners obsess over "which model makes the prettiest picture." Professionals ask three different questions: How much does each generation cost? How fast can I iterate? How precisely can I control the output? These "hidden dimensions" often matter more than raw visual quality for real production work.

Cost: The Math That Changes Behavior

Consider a thumbnail design workflow. You might generate 50 variations to find the right one. At $0.02 per image (Imagen 4 Fast), that's $1.00. At $0.133 per image (GPT-Image 1.5 High), that's $6.65. At Midjourney's standard rate, it's somewhere in between. Over a month of daily thumbnail creation, these differences compound into hundreds of dollars — enough to change how freely you explore.

Speed: Iteration Velocity

A model that generates in 2 seconds lets you see 30 results per minute. A model that takes 30 seconds gives you 2 results per minute. Over an hour of exploration, that's 1,800 vs 120 images seen. Speed doesn't just save time — it fundamentally changes how many creative possibilities you discover.

This is why Draft/Fast modes exist: they trade marginal quality for massive iteration speed. During ideation, seeing more options matters more than each option being perfect.

Controllability: The Professional's Priority

Controllability is how precisely you can steer the output. This includes:

  • Prompt adherence — Does the model follow your instructions, or add its own interpretation?
  • Reference image fidelity — How closely does it match your visual references?
  • Editing precision — Can you change one element without disrupting everything else?
  • Consistency — Do repeated generations with the same prompt look coherently related?
  • Negative control — Can you reliably exclude unwanted elements?

Midjourney has strong "opinions" — great for inspiration, frustrating when you need exact specifications. GPT-Image follows instructions more literally. FLUX with ControlNet gives geometric precision. Each model's controllability profile determines how well it fits into structured production workflows.

Key Takeaways
  • Cost determines how freely you explore. Speed determines how many ideas you discover. Controllability determines how precisely you execute.
  • These three dimensions often matter more than raw quality for professional work.
  • The best model for a task is the one that optimizes the right dimension for that task — not the one that scores highest on benchmarks.

Code

예시 코드·python
# Monthly cost comparison for daily creative work
# Assuming 50 generations/day for exploration

models = {
    "Imagen 4 Fast":      0.02,
    "FLUX Schnell (API)": 0.03,
    "Midjourney Draft":   0.05,
    "Midjourney Standard":0.10,
    "GPT-Image 1.5 Med":  0.034,
    "GPT-Image 1.5 High": 0.133,
    "Imagen 4 Ultra":     0.08,
}

for name, cost in models.items():
    monthly = cost * 50 * 30
    usd = "$"
    print(f"{name:25s}  {usd}{cost:.3f}/img  {usd}{monthly:7.2f}/month")

External links

Exercise

현재 워크플로우의 월별 generation cost 계산. Quality 손실 없이 30% 줄일 swap (ideation에 cheap·final에 premium) 찾기. 1주일 구현.

Progress

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