SCENARIO · YOUTUBE
Budgeting AI video for a YouTube channel
A typical faceless YouTube video runs 8 minutes with roughly 40 AI-generated shots of ~6 seconds (240 seconds of footage), plus voiceover and stock elements. Here's what that costs per video and per month at different upload schedules, using a mixed-tier strategy with realistic retakes.
| Strategy | Per video | 4 videos / mo | 12 videos / mo |
|---|---|---|---|
| All budget tier ($0.05/s, ×2 retakes) | $24.00 | $96.00 | $288.00 |
| Mixed: budget B-roll + 2 premium hero shots | ≈ $37 | ≈ $148 | ≈ $444 |
| All mid tier ($0.10/s, ×1.5 retakes) | $36.00 | $144.00 | $432.00 |
| All premium ($0.40/s, ×1.5 retakes) | $144.00 | $576.00 | $1,728.00 |
Rates shown at each model's base tier, verified July 2026 from official vendor pricing pages and documentation. Vendors change prices without notice — see methodology.
The mixed strategy, spelled out
- 36 B-roll shots on a budget tier: 216s × $0.05 × 2 retakes = $21.60
- 2 hero shots (open + payoff) on a premium tier: 16s × $0.40 × 2 = $12.80
- Drafting buffer for prompt testing at 480p: ≈ $2.50
- Total ≈ $37 per video — and the hero shots are what the thumbnail and first 15 seconds are built from, which is where retention is won.
Does the math work against ad revenue?
At a conservative $3 RPM, an 8-minute video needs ~12,000 views to cover a $37 generation budget. At the $10+ RPM common in finance, software and business niches, break-even drops under 4,000 views. Generation cost is rarely the bottleneck — retention is — which argues for spending on the two shots viewers actually judge, not on uniform quality.
When a subscription beats the API
At 12 videos per month on the mixed strategy you're consuming roughly 3,000 generation-seconds. Check whether a pooled plan (Runway Pro, Kling Pro) prices those seconds cheaper than pay-per-use — at that volume it usually does. The break-even formula is in the pricing guide.
Run your own numbers. The cost calculator applies your clip length, resolution and a realistic retake buffer across every model at once.