Runway alternatives, by what the clip has to do

Holding a character steady across six shots, turning a product listing into video in four languages, and generating a thousand clips cheaply are three different problems. The tools that lead one rarely lead another, so "which is best" is the wrong question — "which job" is the right one.

I have not used any of the tools below in production. What follows is what each is built for, what it costs where that is published, and one caveat worth reading before you click anything.

Which job is it?

That last row disqualifies more projects than the others combined, and it is the one people discover after paying for a month.

Why is consistency the hard one?

Because a face that drifts is noticed before it is understood.

A viewer cannot usually say what changed between shot two and shot five — the jaw sits differently, the eyes are fractionally off — but they register it as wrong, and the sequence stops working. That reaction happens below the level of analysis, which is why you cannot fix it by staring at individual frames.

Vidu is built around exactly this. If your work is narrative — clips that belong together — it is the capability to test first, and the thing most likely to sink a project if it fails. Their pricing page did not load its plans when I checked on 23 September 2026, so there is no figure I can give you; the free tier is the way to answer this.

When is localisation the actual job?

When you have footage or listings and need them in other languages.

Wizstar turns product links and images into video, with translation and lip sync. That is a genuinely different problem from generation: the content exists, and what you need is the same content elsewhere.

Its published plans, billed annually: $16, $33 and $160 a month, with the starter tier giving 1,920 credits a year — roughly 32 videos. Checked 23 September 2026.

One warning worth more than the price: test the translation and the lip sync on one real product before applying it to a catalogue. Both fail in ways that are obvious to a native speaker and invisible to you, and a hundred clips with subtly wrong phrasing is worse than none.

What if you already have the footage?

Then you are not generating, you are restyling — and that is a different tool.

DomoAI turns existing clips, images or text into animated video, priced in credits: $9 a month for 600, $29 for 2,200, $99 for 8,000, checked 23 September 2026. Starting from your own footage sidesteps the hardest problem in this category, because the composition and the timing are already decided.

Buzzy sits at the other end: you give it a brief and it produces an ad-shaped film on a single canvas. That is useful when the look is what you are buying and less useful when you need a specific shot to happen a specific way. It has a free tier, and one real brief on it will tell you which of those two you are.

Both pay me a commission and I have not used either in production.

When does pay-per-run beat a subscription?

When your usage is lumpy, or when you want to compare models against the same prompt.

WaveSpeedAI publishes per-unit rates — around $0.005–0.008 per image and $0.01–0.15 per second of video, with $1 of free credit to test. BytePlus is in similar territory, priced per use, without published figures I could read.

A subscription wins while you publish regularly and stay inside the allowance. Pay-per-run wins for bursts and for testing. Work out which you are before choosing, because switching later means re-learning a workflow.

The number that actually decides your budget

Not the price per generation — the price per clip you keep.

At one usable clip in five, a €1 generation makes a €5 clip. At one in ten, €10. Neither number appears on any pricing page, and the second one is the difference between a workable budget and a surprise.

Measure your own rate in fifteen minutes: pick three shots you would genuinely use — one generic, one specific, one with a character — and generate each until you have something publishable or until you have tried eight times. Count the attempts. That number, times your monthly shot count, times the per-generation cost, is your real bill.

The longer version is in what a finished AI video clip actually costs, and there is a side-by-side of the three tools in which AI video tool.

A correction about one tool on this list

Vidmage used to be listed on this site as an AI video generator. It is not one, and that was my error.

Its homepage describes a broad image, video and audio platform, which is what I went on. But the product behind the affiliate programme is face swap — putting a face into an image, a clip or a GIF, at $14.99 a month for 400 credits. Every piece of promotional material the network publishes for it is face swap; none of it is generation.

The listing has been corrected, and it is not recommended above, because it does not do the job this page is about.

Why this matters beyond a mislabelled tool: face swap is a different category with different obligations. Since 2 August 2026 the EU AI Act's transparency rules apply, and content resembling real people carries a disclosure duty. If you use anything in this category, the labelling is on you. There is more on what that actually requires in what running an AI persona involves.

What these tools are still bad at

• Text in the frame. Unreliable. Add it afterwards in CapCut.
• Hands and precise physical interaction. Better than it was, still the thing viewers notice.
• A real product looking exactly like itself. Film it.
• Anything a viewer will pause on. Generated video holds up at speed and falls apart under attention.

That last one is the useful rule for the whole category: AI video is strong as movement behind something else — a background, a transition, an establishing shot under a voiceover from ElevenLabs. It is weak as the thing being looked at.

What I would actually do

Write the shot list first, then mark which shots genuinely need to be specific. Usually it is one or two. Let the rest be generic, and your keep rate — and therefore your budget — survives.

Then spend one free tier, on one real job, measuring attempts. That is a more useful hour than any comparison, including this one.