How much does AI video cost?

"How much does AI video cost?" has no single answer, and that's not a dodge — it's how generative video actually works. A four-second 720p clip and a fifteen-second 4K clip from the same tool can differ in cost by an order of magnitude, because they ask the model to do wildly different amounts of work. Renoise handles this with one simple idea: a single credit currency you spend across every model, where the spend scales with what you actually generate. Here's exactly how that works, what drives the price up or down, and what it comes out to per video and per image.

Why AI video pricing is confusing

Most AI tools advertise a monthly subscription and leave the real cost vague. The problem is that "a video" isn't one thing. Generating a short, low-resolution draft is cheap; generating a long, high-resolution final cut is not. A flat monthly price either overcharges light users or quietly caps heavy ones — which is why so many tools bury usage limits in the fine print.

There's also the multi-model issue. Different models — Seedance 2.0 from ByteDance, Kling 3.0 Omni from Kuaishou, image models from Google and OpenAI — have different compute costs. A tool that wires up several models needs a way to price them consistently, or you end up juggling a separate meter for each one.

How credits work

Renoise solves both problems with one currency: credits. You hold a single credit balance, and every generation — video or image, whichever model — draws from that same balance. There's no per-model wallet to manage and no separate video-vs-image budget.

What changes is how many credits a given job costs, and that's driven by three things:

• Model. More capable or more compute-heavy models cost more per second or per image than lighter, faster variants.
• Resolution. Higher resolution means more pixels to generate, so 4K costs more than 1080p, which costs more than 720p.
• Length. Video is priced by duration, so a 15-second clip costs roughly three times what a 5-second clip of the same settings does.

A concrete example: Seedance 2.0 generating at native 4K runs 100 credits per second (4K has been live in Renoise since June 23, 2026). Drop to a faster, lower-resolution variant — Seedance 2.0 Fast tops out at 720p — and the per-second cost falls accordingly. Same model family, very different bill, entirely because of the settings you chose. That's the whole logic: you pay for the work you ask for, not a flat fee that pretends every video is identical.

The plans

You buy credits through a plan. Renoise is credit-based across the board — there's no usage tier that runs forever on its own, and watermark-free export is a paid-plan feature. Here's how the plans stack up:

The pattern is the standard volume curve: the more credits you buy at once, the lower the effective rate, with the Advanced plan reaching the cheapest unit at $1.43 per 100 credits. Lite exists as a low-commitment entry point, but the right plan depends on your volume — heavier creators get the best rate on the larger plans. Team and Enterprise are custom for higher-volume or multi-seat needs.

What that means per unit

Translated out of credits and into dollars, at the most efficient rate the floor lands at:

• AI videos from $0.34 per video
• AI images from $0.03 per image

Those are floor figures — the cheapest a video or image gets, at the lowest credit rate and lighter settings. A long 4K clip on a top-tier model will cost more, exactly as the model/resolution/length logic above predicts. But the floor is the useful number for planning: it tells you the realistic minimum per piece, which is what most people actually want when they ask what AI video costs.

How to keep costs down

Because cost scales with the work you request, you have direct control over your spend. A few practical levers:

• Draft at lower resolution. Iterate on prompts and composition at 720p or 1080p, then re-run only your final pick at 4K. There's no reason to pay 4K rates for takes you'll discard.
• Use Fast variants for iteration. Faster model variants cost less per second and turn around quicker — ideal while you're still exploring, before you commit to a final render.
• Keep clips as short as the shot needs. Since video is priced by duration, generating a tight 5-second shot instead of a padded 15-second one is a straight 3× saving. Generate the beat you need and assemble longer pieces on the Canvas timeline.
• Lock your references first. Nailing down your prompt and reference images before the final render means fewer full-resolution re-rolls — and re-rolls are where credits quietly disappear.

The throughline: every credit maps to real generation work, so trimming resolution, length, and re-rolls trims the bill in a way you can see.

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