Floating desert museum

Text to Video AI: Four Top Models, Pay per Clip

4 models make 4–30 second clips at up to 2K; 4 of them add sound. Clips start at 25 credits ($0.25), with no subscription and credits that never expire. On the Artificial Analysis Text to Video Arena (checked October 30, 2026), Wan 3.0 is #1 (Elo 1,175), MiniMax H3 #3, Seedance 2.5 #4.

Write what should happen, pick a model and get a video clip with sound in a few minutes. You see the price before you generate, pay with credits from a one-time pack, and failed clips are refunded automatically.

Prompt from this video. Edit it or write your own.

Made with these models

Each one shows the prompt, model and what it costs here. Pick one to start from it.

Floating desert museum
“Cinematic quality, high-end feel, a golden desert at dawn, a minimalist white art-museum building floating above the dunes, the building's surface carrying fine stone texture and soft reflections. Sunlight passes through the airborne sand to form volumetric light, with distinct layers of distant dunes. The camera starts on an ultra-wide desert panorama, slowly pushing forward, passing through the flying sand grains, into the interior of the floating building. Inside there are suspended sculptures, semi-transparent silk installations, and a character in a white robe, the fabric swaying naturally in the wind. The camera makes a smooth orbiting move around the character, and finally the building walls slowly open to reveal the vast sky and desert. High-end art-advertising style, realistic lighting, refined materials, cinematic composition, elegant motion, surreal yet believable.”Seedance 2.5, 15 s, sound, 890 credits, made on Dreamina
Pastry cook, one 30-second take
“One unbroken handheld take, direct-flash 35mm snapshot look, fine grain, white tile and bright window light. 0-5s: from behind, a young pastry cook in a white jacket and a long black apron pipes the last pale-yellow buttercream flowers onto a small white cake on a scrubbed wooden bench in a narrow tiled pantry, steel bowls stacked on the shelves. 5-10s: she puts the piping bag down, turns the cake once on its plate to check it from every side, and straightens one flower with a fingertip. 10-15s: she lifts the cake on its plate, turns and carries it through the cramped kitchen past hanging ladles and a steaming stockpot, the camera following at shoulder height. 15-20s: she shoulders open a back door into a quiet, sunlit courtyard and walks across the flagstones. 20-25s: she sets the cake down on a weathered table laid for one and steps back to look at it. 25-30s: she wipes her hands on the apron and walks back inside, leaving the cake alone on the table in the sun. Sound: piping bag squeeze, a pot lid rattling, the door creak, birds outside.”Kling 4.0, 30 s, sound, 1,410 credits, made on Kling AI
Film backlot, one 30-second take
“One unbroken thirty-second Steadicam move through a working film studio backlot at two in the morning. No cuts anywhere in the take. 0 to 6s: the camera walks out of a scene dock past stacked flats and a rail of period costume, catching a grip taping down a cable run, then pushes through hanging plastic sheeting into open air. 6 to 14s: it crosses a New York street standing set with the rain machines at full pressure, water sheeting off fire escapes and pooling in the gutters, a stunt performer in a soaked overcoat waiting on her mark while a focus puller measures to her face. 14 to 22s: it turns left down a service alley between two sound stages, past a catering truck with its shutter half down and an electrician asleep in a folding chair, the rain noise falling away behind the wall. 22 to 30s: it comes out onto the lot road, cranes up over a parked camera truck and holds on the whole backlot under sodium light, rain still falling on one street and nowhere else. Anamorphic, sodium and mercury practicals, deep blacks, fine film grain. Sound: rain machines roaring then dropping off, a radio crackle, boots on wet asphalt, a generator running under everything, no music.”Wan 3.0, 30 s, sound, 1,200 credits, made on Wan
Noodle vendor: a line, then flames
“Medium close-up, 50mm. A night-market noodle vendor in a white apron stands behind a steaming wok under bare hanging bulbs. He looks into the camera and says: "Thirty years. Same pan, same recipe." Then he tosses the noodles high and flames jump up from the wok. Camera: gentle living handheld that barely breathes, slight push-in. Audio: his voice, sizzling oil, crowd chatter, distant scooters. Photorealistic, warm practical light.”MiniMax H3, 10 s, sound, 80 credits
Mechanical flower ad
“The theme is "mechanical flower bloom". The image needs to highlight the generative video model's strengths in lighting and shadow, art detail, realism, camera movement, and cinematic character feel. The overall style is a high-end tech-brand ad with strong visual impact. The video uses a single-take macro push-in shot, starting from a metal flower bud in darkness, gradually entering the precision mechanical structure inside the petals, and finally climaxing on the image of the mechanical flower fully blooming with light radiating outward. It requires realistic physical lighting, refined metal and glass materials, delicate mechanical motion, stable composition, cinematic color grading, no subtitles.”Seedance 2.5, 15 s, sound, 890 credits, made on Dreamina
Rower at dawn, 15-second take
“One unbroken handheld take on 16mm film, misty grey dawn, a muted palette of wet timber, slate water and fog with one faded-red accent. 0-4s: inside an old timber boathouse on a still lake, a young woman in a faded red rowing vest and grey leggings lifts a pair of long wooden oars down from a wall rack. 4-8s: she carries the oars on her shoulder down the wet wooden slipway, the camera following behind her at shoulder height. 8-12s: she steps carefully into a narrow white single scull tied at the jetty, sits, and slots the oars into their riggers. 12-15s: she pushes off from the jetty with one hand and takes her first stroke, the scull gliding out into the fog, ripples spreading toward the camera. Sound: creaking boards, her footsteps, water lapping, one distant bird call.”Kling 4.0, 15 s, sound, 705 credits, made on Kling AI
Noodle vendor: a line, then flames
“Medium close-up, 50mm. A night-market noodle vendor in a white apron stands behind a steaming wok under bare hanging bulbs. He looks into the camera and says: "Thirty years. Same pan, same recipe." Then he tosses the noodles high and flames jump up from the wok. Camera: gentle living handheld that barely breathes, slight push-in. Audio: his voice, sizzling oil, crowd chatter, distant scooters. Photorealistic, warm practical light.”Wan 3.0, 8 s, sound, 160 credits, made on Wan
Chef, one line to camera
“A chef in her forties looks straight into the camera in a bright open kitchen and says, "The secret is you never crowd the pan." She smiles and turns back to the stove. Clean daylight from a window, white tile, flour on her apron, a strand of hair loose. Medium close-up, 50mm, slight handheld. Sound: her voice close and clear, a gentle sizzle, a knife on a board off screen.”MiniMax H3, 5 s, sound, 40 credits
Coral reef jellyfish
“A deep-sea coral-reef scene, a blue-toned tropical underwater world with large expanses of healthy, thriving colorful living coral, including branching coral, brain coral, plate coral, and soft sea-fan coral, with large schools of tropical fish weaving naturally among them. The foreground is crisp and vivid; the distance gradually turns bluer and grayer with reduced contrast. Natural light from above is filtered through the seawater into soft volumetric light, with fine suspended particles and a gentle sense of flow in the water, the soft corals swaying lightly and the fish schools moving smoothly and in coordination. Add a group of semi-transparent pale-lavender glowing jellyfish slowly appearing, 8-12 of them, in varying sizes. Their bell bodies carry a soft bioluminescent effect, tentacles drifting gently with the current, the tentacle tips bearing faint purple light points. The jellyfish are proportioned harmoniously with the corals and fish, the glow soft and not harsh, forming dreamy light spots against the dark seawater background. The jellyfish swarm's movement path is natural, rising in a slow ascending spiral, with some jellyfish swimming past in front of the lens to produce a slight lens-flare effect. Maintain the underwater blue-toned lighting, the jellyfish glow coexisting harmoniously with the faint reflections of the surrounding coral.”Seedance 2.5, 10 s, sound, 595 credits, made on Dreamina
Judo hip throw
“Real-time speed, 35mm documentary look, flat daylight from tall paper windows in an old wooden dojo with straw-yellow tatami. Two women judoka, one in a white judogi and one in a deep blue judogi, grip each other's lapels and sleeves. The woman in white steps in, turns her hip under her opponent and throws her in a clean hip throw; the woman in blue rotates over her hip through the air, lands flat on her back with a loud slap of the mat and immediately rolls up to her knees. Camera: low handheld, side-on, following the throw. Sound: bare feet on tatami, a sharp exhale, the slap of the landing.”Kling 4.0, 5 s, sound, 235 credits, made on Kling AI
Plush space chase
“A 20-second ultra-widescreen plush universe adventure clip, featuring ultra-fine plush textures throughout, cinematic space scale, a contrast between cute appearances and intense action, exaggerated FPV camera movements, and realistic soft-body physics. A spaceship made of plush fabric, buttons, zippers, and stuffing cotton carries three small plush animals — a rabbit, a fox, and a crow — fleeing at high speed through a universe composed of giant yarn planets, fluffy nebulae, and puppet giant beasts. A massive interstellar whale beast covered in deep blue long fur with eyes like two glass buttons chases the ship from within the nebula. The dynamics include the zipper ship launching via catapult, high-speed orbiting around a yarn planet, the giant whale bursting out from behind, navigating through a button asteroid belt, being swallowed by the whale beast, escaping through a golden zipper on its back, the whale slowly deflating as if losing its stuffing cotton, and finally flying through a pink-purple fluffy nebula toward a colorful button sun.”Wan 3.0, 20 s, sound, 400 credits, made on Wan
Claymation frog
“Stop-motion claymation: a round green frog in a knitted scarf carries a stack of pancakes across a tiny kitchen set, sets it down, then looks at camera and blinks. Visible fingerprints in the clay, felt walls, warm practical lamps, stepped 12fps motion. Sound: playful pizzicato strings, soft clay squeaks, a plate clink.”MiniMax H3, 5 s, sound, 40 credits

How to turn text into a video

  1. 1

    Pick a model

    Seedance 2.5 is selected to start with. Switch to Wan 3.0 or Kling 4.0 for takes up to 30 seconds, or to MiniMax H3 for quick, low-cost drafts. The table below shows what each one does and costs.

  2. 2

    Describe the shot

    Write the camera first, then who is in the frame, what they do and what we hear. Put spoken words in quotes. The prompt guide further down has the details.

  3. 3

    Set length, size and sound

    Choose the clip length, resolution, aspect ratio (9:16 for Reels, TikTok and Shorts) and whether to add sound. The price updates as you change them, before you spend anything.

  4. 4

    Generate and refine

    Most clips are ready in a few minutes and stay in your history. Test wording at a short length or low resolution, then run the version you like at full quality.

Supported models and prices

Updated 2026-10-30

ModelClip lengthTop resolutionAudioAspect ratios5 s clip10 s clipArena rank
Seedance 2.54–15s1080pYes16:9, 9:16, 1:1, 4:3, 3:4, 21:9300 credits$3.00595 credits$5.95#4 · Elo 1,157Dreamina Seedance 2.5
Kling 4.05–30s1080pYes16:9, 9:16, 1:1, 21:9160 credits$1.60315 credits$3.15Not ranked yet
Wan 3.05–30s1080pYes16:9, 9:16, 1:1, 4:3, 3:4100 credits$1.00200 credits$2.00#1 · Elo 1,175
MiniMax H35–15s2KYes16:9, 9:16, 1:1, 4:3, 3:4, 21:940 credits$0.4080 credits$0.80#3 · Elo 1,161MiniMax H3 (768p)

Clip prices are at 720p with sound (MiniMax H3: 768p), in each model's cheapest version; higher resolutions cost more. Arena rank is the position and Elo score from blind side-by-side votes (AA-Video-T2V v2.1, with audio, checked October 30, 2026) on the Artificial Analysis Text to Video Arena

Text to video examples, with prompts

Each sample comes with its exact prompt, settings and price. Use any of them in the generator above as is, or edit it first.

Terracotta vase dolly-in
made on Wan

Wan 3.0

A product shot in one move

A slow push in on a vase in a sunlit room, in one shot. The prompt comes from Fuser’s Wan 3.0 vs Seedance 2.5 test.

  • Text to video
  • 720p
  • 5 s
  • sound
  • 16:9

“Slow dolly-in on a matte terracotta vase standing on a travertine plinth in a sunlit plaster room. Late-afternoon light slides slowly across the wall as dust drifts through the beam. Calm, premium product film, shallow depth of field. Audio: soft room tone and a faint breeze.”

Tip: One camera move per clip, with its speed: “slow dolly-in”.

100 credits
Cookie turntable, vertical
made on Dreamina

Seedance 2.5

A vertical ad for social

In 9:16 Seedance 2.5 renders a true vertical frame, not a crop of a wide one, and adds the sound. The one-sentence prompt is from ByteDance’s own tutorial.

  • Text to video
  • 720p
  • 6 s
  • sound
  • 9:16

“A strawberry sandwich cookie slowly completes one full rotation while the camera moves smoothly around it and keeps the product centered.”

Tip: Keep the subject in the middle of the frame, where captions and app buttons won’t cover it.

360 credits
Chef, one line to camera

MiniMax H3

A line spoken to camera

She looks into the lens and says the line exactly as written, with the kitchen sound around her, on the fast H3 Max Turbo version.

  • Text to video
  • 768p
  • 5 s
  • sound
  • 16:9

“A chef in her forties looks straight into the camera in a bright open kitchen and says, "The secret is you never crowd the pan." She smiles and turns back to the stove. Clean daylight from a window, white tile, flour on her apron, a strand of hair loose. Medium close-up, 50mm, slight handheld. Sound: her voice close and clear, a gentle sizzle, a knife on a board off screen.”

Tip: Quote the words and say who speaks and how: “looks straight into the camera … and says, “…””.

40 credits
Pastry cook, one 30-second take
made on Kling AI

Kling 4.0

One 30-second take

Six timed beats in one unbroken take, each in its time window. The prompt is from Fuser’s Kling 4 guide. Like Fuser’s run, it gave soft daylight instead of the direct-flash look the prompt asks for.

  • Text to video
  • 1080p
  • 30 s
  • sound
  • 16:9

“One unbroken handheld take, direct-flash 35mm snapshot look, fine grain, white tile and bright window light. 0-5s: from behind, a young pastry cook in a white jacket and a long black apron pipes the last pale-yellow buttercream flowers onto a small white cake on a scrubbed wooden bench in a narrow tiled pantry, steel bowls stacked on the shelves. 5-10s: she puts the piping bag down, turns the cake once on its plate to check it from every side, and straightens one flower with a fingertip. 10-15s: she lifts the cake on its plate, turns and carries it through the cramped kitchen past hanging ladles and a steaming stockpot, the camera following at shoulder height. 15-20s: she shoulders open a back door into a quiet, sunlit courtyard and walks across the flagstones. 20-25s: she sets the cake down on a weathered table laid for one and steps back to look at it. 25-30s: she wipes her hands on the apron and walks back inside, leaving the cake alone on the table in the sun. Sound: piping bag squeeze, a pot lid rattling, the door creak, birds outside.”

Tip: Open with “One unbroken take” and give each five seconds its own beat (“0-5s: …, 5-10s: …”).

1,410 credits
Judo hip throw
made on Kling AI

Kling 4.0

Fast action between two people

A clean hip throw with each limb staying on the right person and the slap of the landing in the sound. The camera stays still instead of the low handheld move the prompt asks for.

  • Text to video
  • 1080p
  • 5 s
  • sound
  • 16:9

“Real-time speed, 35mm documentary look, flat daylight from tall paper windows in an old wooden dojo with straw-yellow tatami. Two women judoka, one in a white judogi and one in a deep blue judogi, grip each other's lapels and sleeves. The woman in white steps in, turns her hip under her opponent and throws her in a clean hip throw; the woman in blue rotates over her hip through the air, lands flat on her back with a loud slap of the mat and immediately rolls up to her knees. Camera: low handheld, side-on, following the throw. Sound: bare feet on tatami, a sharp exhale, the slap of the landing.”

Tip: Name who does what by their clothing (“the woman in white … the woman in blue”) so the model keeps them apart.

235 credits
Mechanical flower ad
made on Dreamina

Seedance 2.5

A high-end brand film

Light on metal and glass is where Seedance 2.5 is strongest. The prompt names the style, a single macro push-in and the materials, and the clip follows it from a dark bud to the flower opening with light.

  • Text to video
  • 720p
  • 15 s
  • sound
  • 16:9

“The theme is "mechanical flower bloom". The image needs to highlight the generative video model's strengths in lighting and shadow, art detail, realism, camera movement, and cinematic character feel. The overall style is a high-end tech-brand ad with strong visual impact. The video uses a single-take macro push-in shot, starting from a metal flower bud in darkness, gradually entering the precision mechanical structure inside the petals, and finally climaxing on the image of the mechanical flower fully blooming with light radiating outward. It requires realistic physical lighting, refined metal and glass materials, delicate mechanical motion, stable composition, cinematic color grading, no subtitles.”

Tip: Keep the same structure for your own product: style, one shot, materials, “no subtitles”.

890 credits
Noodle vendor: a line, then flames
made on Wan

Wan 3.0

A line, then the big moment

He says the line as written, then the wok flares up. The prompt is from Krea’s Seedance 2.5 vs Wan 3.0 test, where Wan 3.0 also got the flames and Seedance didn’t. The signs behind him are made-up script.

  • Text to video
  • 720p
  • 8 s
  • sound
  • 16:9

“Medium close-up, 50mm. A night-market noodle vendor in a white apron stands behind a steaming wok under bare hanging bulbs. He looks into the camera and says: "Thirty years. Same pan, same recipe." Then he tosses the noodles high and flames jump up from the wok. Camera: gentle living handheld that barely breathes, slight push-in. Audio: his voice, sizzling oil, crowd chatter, distant scooters. Photorealistic, warm practical light.”

Tip: Put the line early and the big action after it (“first …, only then …”).

160 credits
Claymation frog

MiniMax H3

Stop-motion style

The clay look and the stepped movement hold for the whole clip. It cut to a close-up at about 4 seconds without being asked.

  • Text to video
  • 768p
  • 5 s
  • sound
  • 16:9

“Stop-motion claymation: a round green frog in a knitted scarf carries a stack of pancakes across a tiny kitchen set, sets it down, then looks at camera and blinks. Visible fingerprints in the clay, felt walls, warm practical lamps, stepped 12fps motion. Sound: playful pizzicato strings, soft clay squeaks, a plate clink.”

Tip: Add “one continuous shot” if you don’t want a cut.

40 credits

How to write a text to video prompt

What to put in the prompt, in the order the models read it best.

Start with the camera

Open with the shot size, the lens or the camera move, then the subject, the action and the light. Several prompt guides use this order, and the models’ prompt rewriting keeps the framing better when it comes first.

“Medium close-up, 50mm, slow push in. A night-market noodle vendor in a white apron stands behind a steaming wok…”

One beat per clip, or time each beat

A 5-second clip holds one action well. For longer takes, give each part its own time range; Fuser measured Wan 3.0’s cuts within a frame of the times it wrote, and its Kling 4 guide suggests about one beat per five seconds.

“0-5s: she pipes the last flower. 5-10s: she steps back and wipes her hands…”

Say “one continuous shot” if you want no cuts

Kling 4.0 makes multi-shot clips by default and Wan 3.0 sometimes cuts to a new angle mid-clip. Both makers’ guides fix this the same way: say it on the first line.

“One unbroken take, no cuts. The camera follows…”

Quote the dialogue, early

Put spoken words in quotes, say who speaks and in what language, and place the line early in the clip so it has room to finish. A line written for the last second often gets cut off.

“He looks up and says in English, “Thirty years, same pan, same recipe.” Only then the wok flares.”

Name the sound you want, and the sound you don’t

Every model here makes sound, and without directions it picks its own, often music. ByteDance’s guide keeps negatives for sound and subtitles only: end with “No background music” or “No subtitles”.

“Sound: oil hissing, a crowd murmuring, no background music. No subtitles.”

Concrete details beat adjectives

Words like “cinematic” or “epic” give the model nothing to hold. A colour, a material, a time of day and an object in the background do. Do not count on exact numbers of things, or on small text being spelled right.

“A red bicycle leaning on a wet brick wall at dusk, a sodium street lamp flickering behind it.”

Which text to video model should you use?

All four models make clips with sound from a written prompt, but they behave differently. The notes below come from independent same-prompt tests by Fuser, Krea and Atlas Cloud, the makers’ own prompt guides, and the samples we ran ourselves. Ranks and prices are in the table above.

Wan 3.0 follows the prompt most literally. In Krea’s test it hit “the most literal, dramatic version of a prompt”, and in Fuser’s five same-input rounds it caught details Seedance 2.5 missed. It makes up to 30 seconds in one pass and costs less per second than Seedance 2.5. Its weak points: it sometimes cuts to a new angle mid-clip, and its sound mix runs loud (Krea, Fuser).

Seedance 2.5 gives the most polished, film-like look: light on metal, glass and skin, a quieter mix, and dialogue in more than ten languages. It is the most expensive of the four per second, softens faces in close-ups at 720p, and fast actions can warp. ByteDance’s guide advises one camera move per shot (ByteDance).

Kling 4.0 is the one for action and long takes: every tester’s 15- to 30-second single takes held, it kept limbs on the right person in our judo throw, and it spelled our sign and subtitle correctly. It adds cuts and music unless told not to, and drops some look words, such as a film-stock style (Fuser).

MiniMax H3 comes in two versions here. H3 Max Turbo is the fastest and cheapest clip on the page, good for drafting wording before you spend more. The official H3 adds 2K. It renders 768p as 1344×768 rather than 720p, and it rewrites short prompts, which can add a cut (Krea).

Text to video or image to video?

Text to video invents everything from your words, so two runs of the same prompt give two different clips. When the product, character or composition must match something you already have, start from a picture instead: image to video uses your image as the first frame. A common workflow is to make the still with the AI image generator, then animate it.

Length, resolution and shape

Pick the shortest length that fits the action. A 5-second clip holds one move; 10 seconds fits two or three timed beats; 20 to 30 seconds suits a single long take on Kling 4.0 or Wan 3.0. Resolution changes the price more than anything else, and a rerun at a higher resolution is a new take, not an upscale of your draft, so draft at 720p only to test wording. Choose the aspect ratio before you generate: 16:9 for YouTube and websites, 9:16 for phones, 1:1 for feeds, and 21:9 on Kling 4.0, Seedance 2.5 and MiniMax H3 for a cinema-wide frame.

What you pay

Each clip has a price in credits that depends on the model, length, resolution and sound, and you see it before you generate. Credits come from one-time packs that never expire, so there is no monthly plan to cancel. If a clip fails, times out or is refused, its credits return to your balance automatically.

How we made the samples on this page

Every sample shows the prompt, model and settings it was made with, and its price on zzo.ai today. Most prompts come from published tests and guides, credited on each card, so you can compare our result with theirs. Some samples were made on the model maker’s own app with the same model, prompt and settings, and are marked as such. None of the clips are edited, and where a clip missed part of the prompt, the card says so.

When a result goes wrong

The usual problems, why they happen and what to change.

The clip cuts to another angle you didn’t ask for

Why: Kling 4.0 has multi-shot on by default, and testers saw Wan 3.0 cut mid-clip even when told not to.

Fix: Start the prompt with “One continuous shot, no cuts” and keep the action in one place. If it still cuts, run it again or try Seedance 2.5.

There is music you didn’t want, or the sound is too loud

Why: The models fill silence with their own soundtrack. Independent tests found Kling 4.0 and Wan 3.0 mix louder than Seedance 2.5.

Fix: Describe the sounds you want and end with “No background music”. Turn the volume down in your editor, or switch sound off on Seedance 2.5 and Wan 3.0.

Words on signs or labels are misspelled

Why: Text in the picture is still hard for video models; ByteDance and Alibaba both say so in their own notes.

Fix: Keep text short and in quotes, or add titles in an editor. Kling 4.0 spelled our sign and subtitle right.

Fast movement warps hands, limbs or objects

Why: Quick, large moves are the hardest part for every model; ByteDance’s guide recommends slow, continuous motion.

Fix: Slow the action down, or describe one move at a time. For fights, sport and dance, Kling 4.0 did best in independent tests.

The line of dialogue is cut off

Why: A line written for the end of the clip has no time left to finish.

Fix: Move the line to the start, shorten it, or pick a longer clip.

The clip was refused or failed

Why: The model’s own filter or our policy check blocked the prompt or the result, or the model timed out. Brand, film-stock and director names can also trigger a refusal on Seedance 2.5.

Fix: Nothing is charged: the credits come back automatically. Reword the prompt without names of real people or brands, and see the Acceptable Use Policy.

Questions

Updated 2026-10-30

What is the best text to video AI model right now?

It depends on the job. On the Artificial Analysis text to video leaderboard, built from blind side-by-side votes, Wan 3.0 is first, with MiniMax H3 and Seedance 2.5 close behind (the ranks and the date we checked them are at the top of this page). Kling 4.0 is not ranked yet; independent testers found it strongest on fast action and long single takes.

Which model should I start with?

Start with Seedance 2.5 for polished ads and clips with dialogue, Wan 3.0 for literal prompt following and long takes at a lower price, Kling 4.0 for action between people and text on screen, and MiniMax H3 (H3 Max Turbo) for quick, low-cost drafts.

How much does a text to video clip cost?

It depends on the model, length, resolution and sound. The table on this page lists the 5- and 10-second price for each model, and the generator shows the exact price before you start. You pay for each clip with credits; there is no subscription.

How long can a video be?

Up to 30 seconds in one take on Kling 4.0 and Wan 3.0, and up to 15 seconds on Seedance 2.5 and MiniMax H3. For a longer piece, make one clip per shot and join them in an editor.

Can the video have speech, sound effects and music?

Yes. Every model here makes the sound in the same pass as the picture. Write the sounds and any spoken lines into the prompt. On Seedance 2.5 and Wan 3.0 you can switch sound off; Kling 4.0 and MiniMax H3 always include it.

Can I make vertical videos for TikTok, Reels or Shorts?

Yes. Choose 9:16 in the generator. All four models offer it in text to video, and the table lists every aspect ratio each one supports.

Can the AI put text or subtitles in the video?

Sometimes. Kling 4.0 spelled the sign and subtitle in our sample correctly, and MiniMax says H3 renders text accurately; Seedance 2.5 and Wan 3.0 often misspell text in the picture. For anything that must read exactly, add the text in an editor.

Why did my clip cut to a different shot?

Some models add cuts on their own, especially Kling 4.0 and Wan 3.0. Begin the prompt with “One continuous shot, no cuts” to ask for a single take.

How long does it take to generate a video?

Usually one to five minutes; long takes at 1080p can take ten minutes or more. Finished clips stay in your history, where you can download them.

What happens if a generation fails or is blocked?

The credits for that clip go back to your balance automatically, whether the model failed, timed out or refused the prompt, or the result was blocked by our policy check. You only pay for clips you receive.

Can I make a video of a real person or a celebrity?

Not of public figures, and not of anyone without their consent. Fictional characters described in the prompt are fine. The Acceptable Use Policy lists what is not allowed.

Can I use the videos commercially?

Yes. The clips you generate are yours to use, including in ads and client work, as long as they follow our terms and don’t copy someone else’s brand, character or likeness.

Do I need a subscription?

No. zzo.ai sells one-time credit packs only. Credits never expire and work on every model, on the website and through the API.

Should I use text to video or image to video?

Use text to video when you are starting from an idea. Use image to video when the look, product or character must match a picture you already have; the clip starts from your image.

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