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TASK GALLERY

Text to video: start with samples

Models whose official task category is Text to Video.

How to read

  • · Check subject, materials, text and motion stability first
  • · Then compare starting price and default resolution/duration
  • · Open the model detail for official parameters
These are each model’s official samples, not a same-prompt benchmark. Prompts and parameters are defined by the original page; a same-prompt benchmark will be labeled once real API data is ready.

Text-to-video models turn a written prompt into a short video. The main differences are default duration, resolution, motion stability, audio, camera control and first/last-frame support. This page only includes models whose official task category is Text to Video. Start with the official samples, then compare starting price, default duration and explicitly documented capabilities.

10 models

Sorted by starting price; not an absolute ranking.

All models

Gemini Omni 1.2 Flash

Google · Text to video

$0.07/run · 8s

A charismatic young pastry chef serves colorful desserts from a small street stall at a busy evening market. A sharply dressed woman approaches, silently tastes one spoonful, and places a mysterious gold card on the counter. The chef looks at the card, then realizes nearby vendors are staring in shock because she is a famous competition judge. The camera moves from food close-ups to their expressions, then slowly pulls wider as a crowd gathers. Lighthearted culinary drama, lively market atmosphere, cinematic warm lighting.

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Wan 3.0

Alibaba · Text to video

$0.095/run · 5s

A lone astronaut walks through the ruins of a once-busy city, surrounded by abandoned cars, overgrown skyscrapers, and trees growing through cracked streets. She discovers a small child standing inside an old convenience store, holding a glowing flower. The astronaut slowly removes her helmet as birds suddenly rise into the sky and sunlight breaks through the clouds. Emotional science-fiction film, grand post-apocalyptic environment, slow cinematic camera movement, wide establishing shots, intimate facial close-ups, realistic dust particles, warm sunlight contrasting with cold ruins, epic yet hopeful atmosphere.

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Sora 2

OpenAI · Text to video

$0.1/run · 4s

In a 90s documentary-style interview, an old Swedish man sits in a study and says, "I still remember when I was young."

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MiniMax H3

MiniMax · Text to video

$0.1/run · 5s

Speeder chase across a cliff city (single continuous shot) From a monumental cliffside city carved into stone, the camera dives toward a tiny streak of light ripping along a narrow ledge-road. Lock-on: a speeder hugging the wall at insane speed. The camera slingshots ahead, whips back, then drops tight to the rear thrusters: heat haze, grit snapping off the ledge, warning lights flashing. A collapsing balcony rains debris; the rider snaps a last-inch swerve under a falling arch, then threads through hanging laundry lines and open windows in one fluid line. The camera darts through the same openings, staying glued to the motion. One final bend and sudden calm: the camera blasts outward into a reveal of the city opening onto a boundless waterfall-fed valley, mist turning into rainbow.

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Kling 4.0

Kuaishou · Text to video

$0.13/run · 5s

A fisherman in a yellow raincoat rows a small wooden boat across a calm misty lake at dawn, soft golden light breaking through the fog, gentle ripples, a heron lifts off in the background, slow cinematic dolly-in, natural ambient sound of water and distant birds

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Veo3.1 Fast

Google · Text to video

$0.15/run · 8s

An intense “Iron Man” battle sequence at dusk over a futuristic coastal city. The camera starts on a wide aerial of the skyline, then whips to a dynamic tracking shot as Iron Man rockets past, afterburners flaring, contrails curling. He barrel-rolls between glass towers, micro-missiles bloom and target lock HUD elements flicker on the visor. Enemy drones swarm; Iron Man brakes mid-air, deploys repulsor shields, then punches through a drone, debris scattering in glowing arcs. Cinematic lighting with warm sunset rim light + cool blue city bounce. Motion is fast but readable, no jelly artifacts. Smoke, sparks, and heat shimmer read clearly. Final beat: hero hover facing camera, palms glowing, city behind in bokeh. Camera & Style: whip-pan, parallax, 35–70mm range, subtle handheld energy; crisp, high-contrast, filmic grade. Audio cues: roaring jet, metal whine, repulsor blast thump, distant city ambiance. Negatives: no rubbery armor, no extra limbs, no warped buildings, avoid excessive bloom.

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Seedance 2.0

ByteDance · Text to video

$0.22/run · 5s

$32

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Seedance 2.5

ByteDance · Text to video

$0.32/run · 5s

Rainy night, neon-lit city street. A young man in a dark jacket, clearly visible in the center of the frame from the first second, walks toward the camera holding an old leather suitcase, rain dripping from his hair. He stops, looks behind him, and slowly lifts the lid; warm golden light spills out and lights up his surprised face. Slow push-in, cinematic 35mm film look, realistic reflections on wet asphalt, natural acting.

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Veo3.1

Google · Text to video

$0.4/run · 8s

A mother and daughter share a magical evening together while reading a Japanese folktale in a cozy Japanese living room. The scene opens with a warm medium two-shot from the front. The mother and daughter sit closely together on a sofa with an open book resting on their laps. The mother gently wraps one arm behind her daughter and looks down at the book, while soft warm light catches the waves in her hair. The daughter sits close beside her, watching the pages with curiosity and wonder. The camera glides slowly and gently toward them, creating an intimate and emotional atmosphere. The open book fills the lower part of the frame and begins to radiate a soft golden glow. Its pages subtly pulse and ripple as a miniature magical world starts unfolding from the book. Urashima Tarō appears riding a sea turtle, emerging from the illustrated pages like a living pop-up story. The camera continues its smooth movement toward the daughter and transitions into a close-up from her left side. Her profile fills the frame while her mother becomes softly blurred in the background. The daughter watches the magical scene with wide-eyed amazement and says excitedly, “Mama, look! He’s moving!” Warm cinematic lighting, gentle emotional pacing, subtle magical effects, intimate family atmosphere, realistic characters, soft depth of field, and an enchanting storybook feeling.

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Hailuo 2.3 T2V Pro

MiniMax · Text to video

$0.49/run

$31

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FAQ

Were these samples generated from the same prompt?
No. The page shows each model’s official samples, and prompts and parameters are defined by the original page. A same-prompt benchmark requires real API calls and will be labeled separately once the data is ready.
How should I use these samples to choose a model?
First check whether the subject is clean, materials look real and text is readable. Then compare price and default resolution/duration. Do not rely on one image; look at at least 2–3 samples across different tasks.
Why is the price different from the official page?
The page shows official starting prices and default configurations. Actual cost varies with resolution, duration, reference images and retries. Refer to the official source before ordering.