What AI Video Actually Costs: A Real Per-Video Breakdown
Most pricing pages quote a monthly figure and a credit count without explaining what a video consumes. Here is the real five-stage breakdown, why AI video costs 8x moving images, and how to size a plan from your actual cadence.
Most pricing pages for AI video tools quote a monthly figure and a number of "credits" without ever explaining what a video consumes. That makes plans impossible to compare and leads people to buy the wrong tier.
Here is the actual breakdown, using real numbers from a production pipeline.
A video is five costs, not one
Every generated short-form video pays for the same five stages. Using a typical 40-second video published to one platform:
| Stage | Cost | What it buys |
|---|---|---|
| Script | 20 | The LLM call that writes it |
| Audio | 25 | Text-to-speech narration |
| Visuals | 0–918 | The entire variable |
| Render | 30 | Compositing and encoding |
| Publish | 10 | Per platform |
Four of those five barely move. Script, audio, render and publish total 85 credits regardless of what your video looks like.
The visuals line is where the entire cost lives, and it varies by a factor of more than twenty.
The three visual paths
Stock footage — 85 credits total. No generation cost. You're paying for script, voice, render and publishing only. Cheapest by a wide margin, and the ceiling on how distinctive your videos can look is correspondingly low.
Moving AI images — 125 credits total. Generate a still image per scene, then apply motion. Eight scenes for a 40-second video, 40 credits of generation. This is the default for most creators and the right one: it looks generated-but-deliberate rather than generic.
AI video — 1,003 credits total. True text-to-video per scene. 918 credits of generation across six scenes.
That last number deserves emphasis. AI video costs eight times what moving images cost for the same finished length. Not eight percent — eight times.
Why AI video is so much more expensive
Text-to-video models price per second of generated footage, and generating six seconds of coherent video is a fundamentally harder computation than generating one image and panning across it.
The quality difference is real. Genuine motion — a character turning, water flowing, a camera orbiting — is not something you fake with a Ken Burns pan. For a hero video, an ad, or a portfolio piece, it's worth it.
For a daily faceless channel publishing 30 videos a month, it is not. At 1,003 credits a video, thirty videos costs 30,090 credits. At 125, the same thirty costs 3,750 — a difference that decides which plan you need.
What this means for choosing a plan
Work backwards from videos per month, on the path you'll actually use.
At 125 credits per video on the standard moving-images path:
- 1,500 credits → 12 videos/month — three a week
- 3,750 credits → 30 videos/month — daily
- 10,500 credits → 80 videos/month — daily across multiple series
The trap is buying a plan sized for stock footage and then using AI video. One AI video consumes eight ordinary ones. A plan that comfortably funds 30 moving-image videos funds three AI video ones.
This is also why the expensive path is usually gated to higher tiers — not to upsell, but because a plan that allows it without funding it produces a bad month for everyone.
Duration matters more than it looks
Cost scales with scene count, not runtime directly. A 40-second video is eight scenes; a 90-second video is closer to eighteen.
That's why flat per-video pricing is rare and, where it exists, usually comes with quiet limits. Per-scene pricing is more honest: you pay for what you generate.
Practical consequence: if you're cost-constrained, shorten before you downgrade quality. Going from 90 to 45 seconds halves your generation spend while often improving retention, since short-form rewards completion percentage.
The knobs that actually move your bill
Ranked by impact:
- Media type. Stock vs moving images vs AI video spans 85 to 1,003. Nothing else comes close.
- Video length. Linear in scene count.
- Quality tier. Higher tiers use pricier models and more scenes per second.
- Platforms published to. 10 credits each — real but minor.
- Niche. Mostly irrelevant, with one exception: sung content costs materially more than spoken, because music generation is billed by the minute.
How to actually budget
- Decide your cadence — daily, or three a week.
- Decide your visual path honestly. Most channels should use moving images.
- Multiply:
videos × credits-per-video. - Add roughly 15% for retries and experiments. You will regenerate things.
- Pick the plan that covers that, and check whether unused credits roll over.
That last point is worth checking on any tool you evaluate. Plans that forfeit unused credits at month end punish exactly the irregular months every creator has.
The summary
The headline price of an AI video tool tells you very little. What matters is credits-per-video on the path you'll actually use, and whether the plan you're buying funds the number of videos it advertises.
Ask any tool you're evaluating one question: how many credits does a 40-second video cost on each visual path? If they can't answer precisely, the pricing page is marketing rather than arithmetic.