A beautiful face in the opening frame doesn't tell you much about an AI video model. Make that person speak while turning her head, or pick up a glass bottle without changing its shape, and you've got a more useful comparison.
For this Flux 3 Max versus MiniMax H3 comparison, we're bringing Wan 3.0 into the same test. Four creative briefs, one generation per model for each brief, and 12 videos in total. Each scene features an adult female lead, but the challenge changes: quiet dialogue, full-body action, precise product handling, then a moving-camera performance.
The goal is to compare footage you might use in an ad or a short film. Attractive lighting matters, but so does whether the actor finishes her sentence with the same face she started with.
How we set up the comparison
We submitted the same prompt to every model within each round through Influencer Studio. All requests use an eight-second duration, a 16:9 frame, and 720p output, with native speech and environmental sound. We requested continuous takes without music or captions so those extras wouldn't distract from the performance.
The Flux entry uses Flux 3 Max specifically. Keeping that variant explicit makes the comparison easier to reproduce.
Test | Scene | Main challenge |
|---|---|---|
1 | Sunlit beauty close-up | Speech, skin texture, and facial stability |
2 | Rainy rooftop training run | Full-body movement and physical contact |
3 | Perfume advertisement | Hands and consistent product geometry |
4 | Neon diner conversation | Acting through a changing camera angle |
These are text-to-video requests rather than shared-reference-image tests. The models receive identical descriptions, not an identical starting face. Judge whether each woman remains consistent within her own shot, rather than whether all versions cast the same person.
Comparison 1: a beauty close-up with real dialogue
We start with a restrained shot. A woman with dark curls and freckles sits in a sunlit pottery studio, wearing a cream blazer. The camera pushes in gently while she speaks directly to the viewer, then she turns slightly toward the window.
There's little room to hide. The framing puts her mouth and eyes close enough to inspect, while the soft daylight asks for natural skin rather than a heavily smoothed beauty-filter finish.
I thought I needed a perfect plan. Turns out, I needed a first step.
The shared direction asks for a natural conversational delivery, subtle smile, and realistic blinking. The head turn at the end adds a small identity test after the dialogue.
Beauty close-up: Flux 3 Max
Beauty close-up: MiniMax H3
Beauty close-up: Wan 3.0
Watch the sentence once at normal speed before pausing anything. Does the delivery sound like someone talking to you, or does the mouth move around a voice that feels separate from the performance?
On the second pass, compare the freckles and the shape of the teeth as her expression changes. A pretty still frame earns less weight here than a face that holds together through the entire line. Listen for the final word too; a clipped ending makes the shot harder to use even if the visuals work.
Comparison 2: running and vaulting on a rainy rooftop
The next brief puts the whole body in frame. An athletic woman in a burgundy running jacket moves toward a backward-tracking camera on a rooftop training course at blue hour. She vaults a low block, lands, and keeps running, with wet concrete reflecting the city lights.
We specified a wide training area with high perimeter barriers. The action comes from the movement and camera, not a leap across a building gap.
Keep up. We're almost there.
That short line adds speech without consuming the shot. The harder instruction is the vault: her hand needs to meet the block, her body needs to clear it, and her feet need to return to the ground with believable weight.
Rainy rooftop action: Flux 3 Max
Rainy rooftop action: MiniMax H3
Rainy rooftop action: Wan 3.0
Follow the contact points. Look at the supporting hand during the vault, then the shoes at landing. A fast camera move can make an action sequence feel convincing even when the body briefly passes through a solid object.
Check whether the model keeps the feet in frame as requested. Cropping away the landing avoids the hardest part of the brief; it shouldn't count as solving it. The jacket and face should also remain recognizable as the subject gets closer.
For sound, listen for footfalls that belong to the visible steps. Rain should sit behind the dialogue rather than bury it.
Comparison 3: a perfume ad that tests the hands
A locked camera makes this round deliberately unforgiving. An adult woman in an emerald silk blouse sits at a pale stone vanity with an unbranded glass perfume bottle. She picks it up, sprays her opposite wrist once, and speaks to camera.
One spray, and I'm ready.
The bottle starts without a cap, so the model doesn't have to squeeze an extra removal action into eight seconds. Its rectangular glass body, amber liquid, and gold nozzle give us distinct features to track throughout the movement.
Perfume ad and hands: Flux 3 Max
Perfume ad and hands: MiniMax H3
Perfume ad and hands: Wan 3.0
Watch the bottle before you watch the face. Its width and nozzle position should remain stable as the hand closes around it. Then check whether the index finger presses the nozzle and whether the mist travels toward the intended wrist.
A polished-looking ad can still fail this task if the bottle changes shape or the spray appears before the finger moves. For product work, those errors affect the object you're trying to sell.
We requested no labels or on-screen text to keep typography out of this round. The comparison focuses on handling the product, not rendering packaging copy.
Comparison 4: a neon diner scene with an emotional turn
The final scene asks for a performance while the viewpoint changes. A woman in a navy trench coat sits at a chrome diner counter at night. The camera begins beside her, then arcs 60 degrees toward a frontal view as she notices the viewer and speaks.
You're late. I was starting to think you'd changed your mind.
She starts composed and ends with a small, relieved smile. Cyan window light mixes with warm diner lamps, while a red coffee cup stays on the counter. That cup gives us a stationary object to track as the camera moves.
Neon diner reveal: Flux 3 Max
Neon diner reveal: MiniMax H3
Neon diner reveal: Wan 3.0
The emotional change should follow the line rather than arrive as a sudden facial reset. Listen for a quiet delivery that fits the setting, then watch whether the smile develops naturally after the final word.
The camera arc puts facial consistency under more pressure than the studio close-up. Compare the nose and jaw as the view shifts; a model needs to reveal another angle of the same person. In the background, the counter should retain its shape and the cup should stay put.
How to judge the clips without rewarding the wrong thing
Watch each round with sound first, then replay it muted. The first viewing tells you whether the shot works as a whole; the second makes it easier to notice visual problems that a good voice performance can distract from.
Use the same questions for every entry:
Did it complete the requested action and the exact spoken line?
Did the face, clothing, and important objects stay consistent?
Did movement preserve believable contact and weight?
Would you publish the clip without repairing a visible or audible mistake?
Keep failures tied to the brief. An impressive close-up doesn't satisfy the rooftop test if it cuts away from the vault. A lovely perfume bottle doesn't rescue an ad where the hand merges into the glass.
For a simple score, assign each question zero, one, or two points: zero for a clear failure, one for a usable result with a noticeable flaw, and two for a clean result. That creates an eight-point score per clip. Record the specific defect beside the number so a strong overall impression doesn't erase a broken action.
Compare cost per usable clip
A cheaper generation only saves money if you can use it. For a production decision, divide the total spent on a brief, including retries, by the number of clips that meet your publishing standard.
As a hypothetical example, a model that costs half as much per attempt but needs four attempts to deliver one usable shot ends up costing twice as much as a model that succeeds on its first attempt. Keep duration and output settings matched when making that calculation.
Repair time belongs in the decision too. Removing a clipped word is a different job from fixing a changing face. Our guide to editing AI video for creator projects covers the editing side of turning generated footage into finished content.
Choose the model for the shot you need
For a talking-head video, give the studio close-up the most weight. Speech timing and a stable face are the acceptance criteria. For a product ad, judge the perfume sequence more strictly; an attractive performer can't compensate for an unreliable product.
The rooftop test is the better filter for action footage, while the diner scene tests whether a model can sustain a quiet performance during a camera move. Keep those decisions separate rather than letting a favorite visual style decide every category.