9 AI Video Models, One Prompt: Grok Imagine vs Seedance vs Kling 4.0 (Real Test)

#ad · Paid partnership with Higgsfield. The video this article is based on was made in a paid collaboration with Higgsfield; scores are my own personal assessment.

I gave the exact same prompt, with the same duration and the same settings, to eight AI video models — and then ran a ninth, Kling 4.0, as a bonus. No retries, no cherry-picking: every model is shown with its first attempt. This article walks through the test rules, how each model performed, the category winners, and how you can run the same test yourself.

The video is in Turkish; everything you need is summarised below in English.

Quick answer

• Overall (my scores): 1st Grok Imagine 1.5 (9/10), 2nd Seedance 2.5 (8.5/10), 3rd Wan 3.0 (8/10).
• Best motion and energy: Grok Imagine 1.5.
• Most cinematic look: Seedance 2.5.
• Cleanest Turkish speech: Grok Imagine 1.5 and MiniMax H3.
• Best consistency (the “lantern test”): FLUX 3 and Seedance 2.5.
• Biggest generational jump: Seedance 2.0 → 2.5. Kling 3.0 → 4.0 was also a big step.

The test rules

All eight main models were run inside Higgsfield from a single model picker. I pasted the prompt once and only switched the model. Every clip was 8 seconds, 16:9. Two honest notes from the test:

• MiniMax H3 output at a different resolution from the others, so its resolution is not directly comparable.
• Kling 4.0 was not yet available in Higgsfield, so Kling 3.0 took its slot. I then generated Kling 4.0 separately on Kling’s own site with the identical prompt; with free trial credits it could only output 720p and 6 seconds.

The prompt (word for word)

Cinematic night scene on a rainy rooftop market overlooking a city of domes and minarets. A young street dancer in a bright red raincoat carries a glowing paper lantern, spins and leaps across the wet tiles while the camera orbits around her. Neon reflections ripple in the puddles, water splashes from her boots, steam rises from a small tea stall. She stops, looks straight into the camera and says in Turkish: “Sekiz model, tek prompt. Kazananı sen seç!” Realistic, 35mm film look, natural rain sound.

What the prompt measures

I deliberately wrote a hard prompt so it tests four things at once:

1. Motion: spinning, leaping and water splashing — weak physics shows immediately.
2. Consistency: does the dancer’s face and the lantern in her hand stay the same from start to finish?
3. Audio and a non-English line: can the model say a Turkish sentence correctly, with lip sync?
4. “AI smell”: which clip looks like real film, and which one screams “AI”?

Model by model results

Seedance 2.5 — 8.5/10

The camera goes straight into the spin of the raincoat in the first second — it feels like a film opening. Neon reflections on the wet tiles, domes in the background, genuinely cinematic lighting. The lantern stays in her hand and the face stays consistent. It says the Turkish line, though the last word was not perfectly clear.

Seedance 2.0 — 6.5/10

It took “wet tiles” too literally and opened on roof tiles. The bigger problem was the lantern: it suddenly flies out of her hand and then sits on the ground. It also left the Turkish sentence half finished. The jump from 2.0 to 2.5 in a single version is striking.

MiniMax H3 — 7.5/10

Its best moment is the close-up: raindrops on her face, a clean Turkish line and matching lip movement. But when it cuts to the close-up, the lantern disappears — her hands are suddenly empty.

Wan 3.0 — 8/10

Excellent motion: when her boot hits the puddle the water really splashes, people sit in the market behind her and steam rises from the tea stall. The Turkish line is correct. The only weakness: the neon signs in the background contain unreadable, meaningless letters — AI still struggles with text.

Grok Imagine 1.5 — 9/10

She leaps into the air, the lantern swings, her hair is wet and water splashes everywhere. This was the boldest interpretation of “spins and leaps”. She then turns to camera and delivers the full Turkish sentence. Clearly ahead on motion and energy.

FLUX 3 — 7/10

A very different atmosphere, with market details such as a samovar and tea glasses that feel close to Turkish culture. The lantern stays the same lantern throughout. But the Turkish line broke down at the end.

Gemini Omni 1.1 — 6.5/10

Clean, calm image with nice domes and market. But the dance is timid — she turns, with almost no leap. The lantern starts round and becomes a cylinder, and the spoken line skipped part of the sentence.

Kling 3.0 — 6/10

The darkest and widest shot; the dancer stays far away and the movements are small. The lantern changes shape as she spins, and the last word of the Turkish line stumbled. To be fair, this is the previous generation.

Bonus: Kling 4.0 — 8.5/10

Generated on Kling’s own site (720p, 6 seconds on free credits). She spins, water splashes when her boot hits the puddle, the camera moves in from wide to her face, and the lantern stays in her hand from start to finish. The Turkish line was almost right, with a small slip on the last word; the stall signs were again meaningless text. A big leap over Kling 3.0.

Step by step: run the same test yourself

1. Copy the prompt above exactly as written.
2. Open a tool that lets you switch between several video models with one prompt (I used Higgsfield’s model picker).
3. Fix the settings before you start: same duration (I used 8 seconds) and same aspect ratio (16:9) for every model.
4. Generate once per model and keep the first result — do not reroll, or the comparison stops being fair.
5. Score every clip on the same four criteria: motion, consistency, speech, and how “real” it looks.
6. Pick winners per category rather than one overall winner — each model is good at something different.

What this means for e-commerce sellers and creators

If your goal is energetic, movement-heavy clips, the motion category matters most. If you need a cinematic product mood shot, look at the “most cinematic” winner. If your video needs a spoken line in a non-English language, test speech specifically — several models stumbled on the last word. And if your scene contains signs or packaging text, expect to fix text in editing: none of the models produced readable background signage in this test.

FAQ

Which AI video model won the same-prompt test?

On my overall scores, Grok Imagine 1.5 came first, Seedance 2.5 second and Wan 3.0 third. Category winners differ, so the right model depends on what you need.

Was Kling 4.0 tested under the same conditions?

Same prompt, but not the same platform or settings: it was generated on Kling’s own site with free credits, which limited it to 720p and 6 seconds.

Were the clips retried or edited?

No. Each model is shown with its first attempt — no retries, no selection.

Is this test sponsored?

Yes. The video is a paid partnership with Higgsfield (#ad). The scores are my own personal assessment.

Learn it with us

We build AI workflows like this step by step in our Skool community (the community is run in Turkish). Try the Okyanusi Skool community free for 7 days →

Disclosure: #ad — paid partnership with Higgsfield. Want to try the models? Higgsfield (partner link). Model clips in the video were AI-generated; narration used Akın’s HeyGen voice clone and digital twin.