Text-to-Video AI Models Compared: Quality, Speed & Price Breakdown (Veo, Kling, Seedance & more)
At Animax, we’re ushering in a new era of video creation — one where AI does the heavy lifting, and creators, marketers, and businesses can bring ideas to life faster than ever before. As part of our commitment to innovation and transparency, we’ve put five of the most advanced text-to-video models to the test: Seedance, Kling, WAN, Hunyuan, and Veo.
To ensure a fair benchmark, we used the same prompt across all models to generate a 5-second video at 720p resolution:
“A modern athletic woman in her late 20s, wearing sleek gymwear (black leggings, sports top, and running shoes), jogs through a green park in the early morning light. She moves at a steady pace. Sunlight filters through the trees, and the atmosphere feels fresh, calm, and energizing.”
Hunyuan by Tencent: Realism in Details, But Struggles With Motion
Hunyuan is an advanced multimodal model developed by Tencent. In our test it delivered a visually solid result, though with some clear limitations.
Strengths: The woman’s outfit, physique, and silhouette were impressively lifelike — especially head and hair movement. Facial features and body posture remained consistent across frames.
Weaknesses: The jogging motion felt unnaturally slow. Noticeable glitches in body mechanics and transitions, especially around arm and leg movement.
Generation time: 79 seconds — Cost: 400 tokens
Seedance by ByteDance: Impressive Speed with a Pro Option That Delivers
Seedance is developed by ByteDance, the company behind TikTok. We tested both the Lite and Pro versions.
Seedance Lite
Strengths: Decent proportions and outfit. No obvious glitches. Affordable for high-volume testing.
Weaknesses: Completely static background. Slow, unnatural motion. Environment felt computer-generated.
Generation time: 55 seconds — Cost: 160 tokens
Seedance Pro
Strengths: Dynamic and realistic background. Character motion was smooth and lifelike. Park environment — lighting, trees, atmosphere — looked convincingly real. Also handled hair and outfit movement well.
Minor Drawback: The jogger’s facial expression was slightly exaggerated.
Generation time: 50.22 seconds (fastest overall) — Cost: 300 tokens
WAN: A Promising Model Undermined by Critical Motion Flaws
WAN is a lesser-known but rapidly evolving model. On first impression it looked promising, but a critical issue made the output unusable: the jogger appeared to be running backwards in a jittery, reversed motion.
Generation time: 56.25 seconds — Cost: 300 tokens
Kling by Kuaishou: High-End Realism with a Price Tag to Match
Kling is developed by Kuaishou, one of China’s largest video-sharing platforms. We tested Kling 1.6 and 2.1.
Kling 1.6
Generally solid, clean render, no major glitches. However, jogging movement appeared in slow motion and generation time was 209 seconds.
Cost: 250 tokens
Kling 2.1
Arguably the most polished and lifelike output of all models tested. Body movement was smooth and natural. Camera movement added dynamic realism. Background was vibrant and convincing. Facial expressions were expressive and believable.
Generation time: 221 seconds — Cost: 1300 tokens
Veo by Google DeepMind: The Most Hyped Model, But Is It Worth the Cost?
Veo 2 delivered what you’d expect from a flagship product — polished, realistic visuals with high consistency and no major glitches. However, the video lacked the cinematic dynamism of Kling 2.1, and the value proposition is questionable when Seedance Pro delivers comparable quality at a fraction of the price.
Generation time: 50.95 seconds — Cost: 2500 tokens (Veo 3: 8000 tokens)
Model Comparison Table
| Model | Quality | Time (s) | Tokens |
|---|---|---|---|
| Seedance Lite | Low to Medium | 55 | 160 |
| Seedance Pro | High | 50 | 300 |
| Kling 1.6 | Medium | 209 | 250 |
| Kling 2.1 | Very High | 221 | 1300 |
| WAN | Low to Medium | 56 | 300 |
| Hunyuan | Medium to High | 79 | 400 |
| Veo 2 | High | 51 | 2500 |
Final Verdict
Best value: Seedance Pro — reliable, high-quality, fastest, and cheapest of the high-performing models.
Best quality: Kling 2.1 — most vivid, cinematic, and realistic output. Worth the premium when production value matters.
Underwhelming: Veo 2 — clean and technically solid, but fails to justify its price tag against the competition.
Conclusion
The best AI video model isn’t always the most expensive one. With options like Seedance Pro and Kling 2.1, creators can achieve high-quality, dynamic video output without overspending. That’s exactly the philosophy behind Animax — a full-featured AI-powered video editor that understands natural language. You can add transitions, kinetic text, images, animations, voiceovers, music, captions, charts, zooms, and more — all through an intuitive interface.