You burn forty credits on a six-second clip, watch the subject's hands turn to soup at second three, and reroll. Do that eight times and you have spent an afternoon and a chunk of budget on footage you cannot ship. Picking the right model up front is not a benchmark exercise — it is the difference between a one-hour job and a one-day job.
Wan 3, Flux 3 and Kling 3.0 all generate video from text and from stills, and all three will produce something watchable from a lazy prompt. They fail in different places, though, and the failures are predictable once you know what to look for. Here is how to decide, in the order the decisions actually come up.
Start With the Shot, Not the Model
Before you compare anything, write down what the clip has to do. A three-second loop of a candle flickering behind a product has almost nothing in common with a ten-second character walk-and-turn, and the model that nails one will embarrass itself on the other.
Sort your shot into one of four buckets:
- Static subject, moving light or atmosphere. Steam, smoke, dust motes, a slow push-in on a product. Low motion complexity, high fidelity requirement.
- Camera move over a static scene. Dolly, orbit, crane over an interior or landscape. The model has to invent geometry it never saw.
- Subject motion, single character. Someone turning, pouring, walking toward camera. Anatomy and identity drift are the risks.
- Multi-element motion. Two people interacting, hands manipulating an object, anything with contact between surfaces.
The first two buckets are comfortably solved by all three models. The fourth bucket is where the gap opens, and it is the only bucket worth running a real comparison test on.
Judge Motion Before You Judge Pixels
The first frame of almost every modern video model looks great. That is not the thing to evaluate. Scrub to the midpoint and the final second, and look for the four failure modes that cost you reshoots.
Temporal drift. Does the subject's face, logo or garment stay the same object across the clip? Kling 3.0 has been the steadiest of the three on single-character continuity in practice, particularly across longer durations where the clip has more time to wander. Flux 3 holds identity well in the first half and loosens near the end of longer generations.
Contact physics. Watch where a hand meets a cup, a foot meets the ground, or fabric meets a body. This is still the hardest problem in generated video and none of the three solves it reliably. Kling tends to produce the most plausible weight and momentum; Wan 3 is more likely to let objects pass through each other; Flux 3 sits between them and is noticeably better when the contact is already established in the input image rather than invented mid-clip.
Motion smear. Fast pans and quick subject movement produce mush in all three. The practical fix is to reduce the motion you ask for rather than to hunt for a model that handles it — a slow push beats a whip pan every time, in generated footage and in real cinematography.
Face and hand degradation. Crop in. If the clip will be used at full width on a landing page, a face that is acceptable at thumbnail size will not survive. Flux 3 inherits the strong facial structure of the Flux image lineage and generally holds up best under a crop.
Test prompt worth reusing across all three: Medium shot, a woman in a grey linen shirt lifts a ceramic mug to her lips and lowers it. Handheld camera with slight drift. Soft north-facing window light from camera left. Shallow depth of field, 50mm lens.
That single prompt exercises identity, hand-object contact, cloth, and lighting consistency. If a model survives it, it will survive most commercial briefs.
Decide How Much Control You Need Over the First Frame
This is the decision that quietly determines everything else. Text-to-video gives the model freedom to compose; image-to-video locks the composition and asks the model only to animate it. For commercial work, image-to-video wins almost every time, because you can iterate on a still for a fraction of the cost of iterating on a clip.
That changes the comparison. If your workflow is generate a hero still, then animate it, the quality of your still matters more than the raw video quality of the model. Build the frame in an image generator where you can reroll cheaply, fix the details, then feed it in as the starting frame.
Flux 3 has the clear advantage here because the image and video sides share the same visual DNA — a still generated in the Flux family carries through into motion with very little style shift. Kling 3.0 accepts external start frames happily but will subtly regrade them, so expect a slight warmth or contrast shift you may need to correct in post. Wan 3 is the most permissive about input quality and the most willing to take a rough composite and make it move.
If you are animating product shots, lock the still first in a product photo setup where lighting and background are already controlled, then animate. A clean, well-lit start frame removes more video artefacts than any prompt keyword will.
When Text-to-Video Is Still the Right Call
Abstract backgrounds, atmospheric B-roll, texture loops, anything where the exact composition does not matter. Here the freedom helps and the cost of a reroll is low because you have no fixed reference to match. Wan 3 is a sensible default for this category, especially if you are generating volume.
Count the Cost Per Usable Second
Credit price per generation is the wrong number. The number that matters is credits divided by clips you would actually put in the edit. A model that costs half as much but needs four attempts is the expensive one.
Run this calculation honestly after your test batch:
- Generate six clips per model from the same prompt and the same start frame.
- Mark each as ship, fixable in post, or bin.
- Divide total credits spent by the number of ship-grade clips.
On simple atmospheric shots, the three models land close enough that price decides it. On character and contact-heavy shots, the hit rate spread is wide enough that the nominally cheaper model often works out dearer. Check current rates on the pricing page before you build a budget around old numbers — generation costs move more often than model capabilities do.
One more cost nobody accounts for: duration. Longer clips are not linearly more expensive in risk. A ten-second generation has roughly double the chance of drifting than a five-second one. Generating two five-second clips and cutting between them is frequently cheaper and almost always looks more professional than one long unbroken take.
Write Prompts the Way Each Model Reads Them
The same prompt text does not mean the same thing to all three. Adjust the structure, not just the words.
Kling 3.0 responds best to prompts that separate subject, action and camera into distinct clauses, and it takes camera language literally. Give it real cinematography terms:
Subject: a chef plating a dish. Action: sets a sprig of herb on top, withdraws hand. Camera: slow dolly in, locked horizon. Lighting: single overhead softbox, dark background.Flux 3 carries over the natural-language habits of the Flux image models — it handles long descriptive sentences well and does not need rigid structure. It also respects negative direction better than the other two, so stating what should not move is worth doing:
The camera remains completely still. Only the steam moves.
Wan 3 rewards concrete physical description over stylistic adjectives. "Cinematic" and "beautiful" do almost nothing; "backlit, 85mm, f/1.8, rim light on the shoulders" does a lot. It also tends to over-animate unless you explicitly constrain the motion, so specify the amount of movement you want.
Across all three, the single highest-leverage habit is describing one action per clip. Prompts that chain two actions — "she picks up the cup, then walks to the window" — produce the majority of the morphing artefacts people blame on the model.
Build a Short List, Not a Favourite
Most teams end up using two of the three regularly, and the split usually looks like this:
- Kling 3.0 for anything with a person in frame doing something, and for shots where motion has to feel physically plausible.
- Flux 3 when the clip has to match stills you already generated, when faces will be seen large, or when you need tight control over composition.
- Wan 3 for volume work, abstract and atmospheric footage, and situations where you want to iterate on dozens of variations without watching the credit counter.
If you are producing recurring content with a consistent character — the kind of pipeline behind a synthetic brand presenter — consistency across sessions matters more than any single clip's quality. In that case, lock your start frames first and treat the video model as an animator working to a fixed reference, which makes the identity problem a still-image problem you already know how to solve.
One caveat worth holding onto: these models update frequently, and a ranking that was true two months ago may not be true for your specific shot today. Keep your six-clip test prompt saved somewhere. When a new version drops, running it costs you twenty minutes and tells you more than any comparison article, including this one.
Before you commit to a model for a whole project, generate your single hardest shot first — not your easiest. The easy shots will work on anything. The hard shot is the one that decides whether you are shipping on Friday or reshooting on Monday, and you want to know that on day one. Set up the test in the video generator, run the same prompt and start frame through all three, and let the results pick for you.
