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The ultimate canvas for sprawling, high-budget epics
Official resolutions, durations, inputs and audio support in one table.
| Brand | Alibaba |
| Type | Video generation (Image / Text -> Video) |
| Max resolution | 720p · 1080p |
| Max duration | 3s · 5s · 8s · 10s (cap 10s) |
| Native audio | Not supported |
| Inputs supported | image · text · video |
| Editorial rating | 5.0 / 5.0 |
| Credit range | 48 – 240 credits / job |
Wan 2.7 isibaba's absolute peak offering. It takes the flawless texture rendering of 2.6 and the ultrawide panoramic capabilities of 2.5, and merges them into a single, computationally massive engine. If you are building a high-end sci-fi short film, an architectural visualization, or a sweeping historical epic, this model delivers unmatched spatial depth. It handles lighting interactions across massive distances perfectly — e.g., a laser firing from a spaceship that casts accurate moving shadows on a city far below. It natively outputs in the glorious 21:9 ratio at 1080p, but comes with the highest credit cost on the platform.
Massive scale shots like galaxy formations, alien worlds, and magical kingdoms
Generates cohesive large groups without turning individuals in the background into blobs
Explosions, collapsing buildings, and energy beams with physically correct lighting spread
Copy these prompts to use directly, or tweak them to fit your needs.
ultrawide 21:9 shot of a vast cybernetic metropolis bathed in neon rain, flying cars darting between monolithic skyscrapers, camera slowly pushes forward
Massive scale neon sci-fi
drone shot pulling back rapidly from an exploding volcano crater, thick ash cloud billowing, magma illuminating the dark sky
Large scale atmospheric destruction
thousands of armored knights charging across a frosted valley at dawn, mist rolling off the hills, heavy cinematic grading
Historical crowd simulation
Do not use Midjourney V4 or poor generations as sources. Upscale your starting image to 4K first, ensure the composition is perfectly 21:9, then upload.
Words like "vast," "sprawling," "colossal," "thousands," and "infinite" trigger the model's depth engine. Give it big concepts.
Pair big scenes with big camera movement. "Fast high altitude drone flight" or "rapid pullback revealing the planet." Be grandiose.
In wide shots, atmospheric perspective creates scale. Mention "thick fog in the valley," "haze in the distant city," or "smoke rolling over the battlefield."
epic wide shot of an alien canyon, thick purple mist rolling down the ridges, obscuring the colossal structures in the background
Epic scenes need dramatic light. Avoid soft even lighting. Request "harsh rim light," "sun piercing clouds," or "massive explosion lighting up the dark."
The absolute ceiling of pricing. 90 credits for 5 seconds (1080p). This is an investment for portfolio pieces or high-paying client work.
Wan 2.6 is for high-detail close-up hero shots. Wan 2.7 is for world-building, massive wide shots, and CGI spectacles.
Veo is slightly better at intimate cinematic light (a dark room lit by one candle). Wan 2.7 is for when that candlelight turns into a city on fire.
Wan 2.7 is best for Sci-fi and fantasy epics. Its strongest advantage is The definitive model for massive scale, epic environments, while the key limitation is Astronomical credit cost per generation. For lower iteration cost, validate prompts on free models first, then switch to this model for final renders.
HappyHorse 1.0 vs Wan 2.7
HappyHorse is the value-tier 1080p workhorse; Wan 2.7 is the flagship for dramatic motion, multimodal inputs, and longer narrative beats.
Kling 3.0 vs Wan 2.7
Kling 3 wins on brand-identity preservation and clean packshot motion. Wan 2.7 wins when you need dramatic transformation, lighting changes, or hero-product reveals.
Runway vs Wan 2.7
Runway is the safer cinematic default; Wan 2.7 pushes motion intensity further but is more variable. Use Runway for delivery, Wan 2.7 for experimental hooks.
Jump straight into the generator workspace, upload one photo, and test your first AI video now.