How much does AI video generation cost?

Almost every image-to-video service bills by the second of finished video, not per render or per month. A five-second clip costs five times a one-second clip at the same settings. This is the single most important thing to internalize, because it means the length of your clip is a direct multiplier on its price.

That per-second rate is not fixed, though. It changes with resolution and whether the output includes audio: the two levers that separate a cheap clip from an expensive one. Everything else is a smaller adjustment on top.

Resolution is the biggest driver. A 480p clip is the cheapest tier, 720p costs more, and 1080p costs the most, because higher resolution means dramatically more pixels to generate per frame, which is more compute the provider has to pay for and passes on to you. Moving from 480p to 1080p can multiply your per-second rate several times over.

Native audio is the second driver. Some models generate video only (silent), and you add music or voice afterward. Others generate video with built-in ambient sound or voice in a single pass. That integrated-audio tier costs noticeably more per second, because the model is doing more work, but it saves you a separate audio-production step.

The practical takeaway: a silent 480p clip and an audio 1080p clip are the cheap and expensive ends of the same market, and the gap between them is large. Match the tier to what the output is for.

The market has effectively split into two model classes, and they suit different goals. Premium models cost more per second but produce longer, higher-resolution clips with native audio, worth it when the video itself is the product and quality justifies a price to the end viewer.

Mass-production models are cheaper per second, shorter, and usually silent, built for volume, where you need hundreds of short clips (loops, animated thumbnails, quick social assets) and per-clip cost matters more than cinematic polish. Choosing the right class for the job is the biggest cost decision you'll make, ahead of any individual setting.

Everything above assumes you rent compute by the second. There is a second model that breaks that math entirely: run an open-weight video model on hardware you already own, and the marginal cost of a clip drops to electricity. Wan's open 2.1 and 2.2 releases are the usual route, run locally in ComfyUI. You trade a hardware requirement and an afternoon of setup for unlimited free generation, no queue, and no per-clip billing at all.

That trade used to require a desktop GPU with serious VRAM, which is why most people stayed on hosted APIs. In July 2026 Qualcomm AI Research published MobileWan, which runs the 5B Wan 2.2 architecture on Snapdragon phone hardware: a 5-second 480x832 clip at 16fps in roughly 20 seconds, on the device, from a ~9.9 GB download. Quality sits well below the hosted tiers priced above, so this is not a replacement for a paid flagship. What it demonstrates is that the hardware floor for zero-marginal-cost generation is falling fast.

How to decide between the two models: hosted per-second pricing wins when you need peak quality, native audio, longer clips, or you generate rarely enough that hardware would sit idle. Local wins on volume. If you are generating hundreds of iterations, or you want your prompts and outputs to stay on your own machine, the per-clip cost of local generation is zero and the hosted bill grows with every attempt. Many people run both: iterate locally for free, then pay for the final render at a quality tier the local model cannot reach.

Failed and throwaway renders. Every experiment you discard still cost you. Budgeting only for final clips underestimates a real project by a wide margin: count your iterations.

Upscaling as a second pass. If you generate cheap and enlarge later, remember the super-resolution step is its own per-second charge on top of generation.

Length creep. Because cost scales directly with seconds, a habit of generating longer-than-needed clips quietly inflates the bill. Generate the length you'll use.

Hardware amortization, if you go local. Free per clip is not free overall: a GPU purchase, or the phone you already own reaching its thermal limits, is a real cost that just sits outside the per-second model.