TL;DR: On April 7, 2026, an anonymous model called HappyHorse-1.0 appeared on the Artificial Analysis leaderboard and immediately claimed #1 in both text-to-video (ELO 1333) and image-to-video (ELO 1392) — beating the previous world leader by 60 points. Three days later, Alibaba confirmed it was theirs. Meanwhile, Kling 3.0 from Kuaishou does native 4K at 60fps for ~$0.50 per clip. Wan 2.7 is open-source and the only such model in the world's top five. Hailuo undercuts everything at $0.28/video. Six of the top eight AI video models globally are now Chinese.
How China Took Over AI Video Generation
For two years, the narrative around AI video focused on American labs — Runway, Pika, Sora, Veo. Silicon Valley names, Silicon Valley benchmarks, Silicon Valley pricing. But the Artificial Analysis leaderboard in April 2026 tells a different story: six of the top eight AI video models globally are Chinese.
This didn't happen overnight. It started with Kling 1.0 from Kuaishou in mid-2024, which stunned the research community by outperforming Sora on motion realism. Then Wan 2.1 topped VBench — the standard 16-dimension video evaluation framework — as the only open-source model in the top five. Then Hailuo proved that high quality didn't have to mean high cost. And on April 7, 2026, HappyHorse arrived and took the crown.
The 2026 Rankings — Chinese Models
HappyHorse 1.0
Taotian Future Life Lab — Alibaba Group
HappyHorse-1.0 appeared on the Artificial Analysis leaderboard on April 7, 2026 — without a company name, without a press release. Within hours it claimed first place in both text-to-video (ELO 1333, a 60-point lead) and image-to-video (ELO 1392, 37 points ahead of second place). On April 10, Alibaba confirmed it was built by the Taotian Future Life Lab, led by Zhang Di — formerly VP of Kuaishou and the engineer behind Kling.
Under the hood: a unified 15B-parameter Transformer trained for joint audio-video generation. It supports all four modalities — text-to-video and image-to-video, each with and without native audio — outputs in 1080p, and handles multilingual lip-sync natively. The timing also matters: OpenAI had quietly discontinued Sora the month before, and ByteDance paused Seedance 2.0 over copyright disputes. HappyHorse stepped into an opening and dominated.
- Architecture: 15B unified Transformer — joint audio-video generation
- Output: 1080p, all four modalities (T2V, I2V, with/without audio)
- Audio: Native multilingual lip-sync (EN, ZH, FR, ES, JA, KO)
- Availability: API via Alibaba Cloud — pricing TBD at launch
Strengths
- Best global benchmark score — both T2V and I2V
- Native audio generation — no separate pipeline
- Unified model across all four modalities
- Alibaba's compute infrastructure behind it
Limitations
- Pricing not yet public at publication
- API-only — no consumer UI at launch
- Brand new — production reliability unproven
- Limited third-party integrations so far
Developers and studios who want the highest-quality output available today and are comfortable with an API-first workflow. If benchmark score is your primary criterion, this is the current answer.
Kling 3.0
Kuaishou Technology
Before HappyHorse arrived, Kling 3.0 held the #1 spot globally with an ELO of 1243. It remains #2 worldwide — and it still delivers something no other model offers: native 4K at 60fps for roughly $0.50 per clip. That's 4–8x cheaper than Sora 2 at comparable or higher quality. Its AI Director feature generates up to six coherent shots with automatic transitions in a single request — essentially a short scene rather than a single clip. For content creators and small studios, this changes the workflow entirely.
- Resolution: Native 4K (3840×2160) at 60fps — industry first
- Clip length: Up to 15 seconds
- Audio: Native multilingual (EN, ZH, JA, KO, ES)
- AI Director: Up to 6 shots in one generation with coherent transitions
- Pricing: Free tier — Pro from $127.99/month — ~$0.50/clip
Strengths
- Native 4K 60fps — no upscaling
- Best value at scale ($0.50/clip)
- AI Director for multi-shot scenes
- Best text rendering in-video at its tier
Limitations
- Now #2 since HappyHorse launch
- 15-second cap — no long-form generation
- Content moderation sometimes overly strict
Content creators and agencies who need the best price-per-quality ratio with professional 4K output at scale. The most economically rational choice at the high end of the market.
Vidu Q3 Pro
Shengshu Technology
Vidu Q3 Pro held the #1 spot in China and #2 globally before HappyHorse arrived. Its distinctive strength is cinematic control: a reference-based generation system that lets you upload a style clip and have the model match its lighting, color grading, and motion profile shot-by-shot. No other model does this as cleanly. For directors and visual storytellers, this is the most sophisticated tool in the Chinese lineup — outputs look genuinely film-like, with accurate light behavior and natural motion blur.
- Specialty: Reference-based generation — upload style clips to control output
- Output: 1080p with cinematic color grading built-in
- Pricing: Credit-based — consumer and API tiers available
Strengths
- Best cinematic aesthetics in the lineup
- Reference-video style matching — unique
- Extremely natural lighting and motion blur
Limitations
- Less accessible outside China
- Reference workflow has a learning curve
- Smaller English-language community
Directors and cinematographers who want to control aesthetics through reference clips. If your output needs to look like cinema, Vidu is the tool.
Wan 2.7
Alibaba — Open-Source
Wan 2.7 is the only fully open-source model in the world's top five on VBench — the 16-dimension standard evaluation framework. Where every other top model requires a paid API or proprietary platform, Wan lets you self-host, fine-tune, and modify freely. It ships as a four-model production suite covering different task profiles (T2V, I2V, high-motion, portrait-focused). The community fine-tunes are already outperforming the base model on specialized tasks — a pattern we've seen repeatedly in open-source AI.
- License: Fully open-source (Apache 2.0)
- Models included: 4-model suite (T2V, I2V, high-motion, portrait)
- Hosting: Self-hosted or via Replicate, RunPod, etc.
- Pricing: Free (self-hosted) — cloud inference varies by provider
Strengths
- Fully open-source — no vendor lock-in
- Fine-tunable for specialized tasks
- Top-5 globally despite being free
- Active community with domain-specific variants
Limitations
- Requires GPU infrastructure to self-host
- No official consumer UI
- Steeper technical setup
Developers, researchers, and companies building AI video products who need full stack control, fine-tuning on proprietary data, or elimination of recurring API costs.
Hailuo 2.3
Minimax
Hailuo 2.3 has one argument that dominates every conversation about it: $0.28 per 1080p video via API. That's the best cost-to-quality ratio in the entire market — not just among Chinese models, but globally. Western alternatives at comparable quality run $2–4 per clip. For high-volume production pipelines, the math is decisive. But Hailuo isn't just cheap — it genuinely delivers 1080p realism that competes with tools charging 10x more. The consumer interface is also the most beginner-friendly in this list.
- API pricing: $0.28 per video (1080p)
- Developer: Minimax (also builds the Minimax language models)
- UI: Clean consumer interface — optimized for beginners
Strengths
- Lowest cost per 1080p video on the market
- Best beginner UX in the lineup
- Excellent for high-volume production
Limitations
- Not at the top of raw quality benchmarks
- Limited advanced creative controls
High-volume production teams and budget-conscious creators who need professional 1080p output. Also the best entry point for beginners exploring AI video for the first time.
Seedance 2.0
ByteDance — currently paused
Seedance 2.0 earns its place on this list for a genuinely novel technical achievement: a 12-file multimodal reference system that delivers unmatched character and scene consistency across shots. Where most generators produce each clip in isolation — forcing you to re-describe characters every generation — Seedance keeps identity, costume, location, and lighting stable across an entire sequence. For narrative filmmaking, this is transformative. Its CapCut integration also gives it access to over 200 million active creators.
The caveat: as of April 2026, ByteDance has paused the rollout following copyright disputes. Access is restricted. It's on this list because the technology is real, the quality is exceptional, and it will almost certainly return in some form.
Strengths
- Best character/scene consistency of any model
- CapCut integration — 200M+ creator access
- Ideal for long-form narrative content
Limitations
- Currently paused — limited access
- Copyright dispute outcome uncertain
- Slower motion than Kling on high-energy content
Narrative filmmakers who need consistent characters across multiple shots. When it returns to general availability, it will be the tool of choice for short films and episodic AI content.
Chinese Models vs. The West — Head-to-Head
| Model | Origin | ELO / Rank | Max Resolution | Max Clip | Price/Video | Open Source |
|---|---|---|---|---|---|---|
| HappyHorse 1.0 | 🇨🇳 Alibaba | #1 (ELO 1333) | 1080p | TBD | TBD | No |
| Kling 3.0 | 🇨🇳 Kuaishou | #2 (ELO 1243) | 4K 60fps | 15 sec | ~$0.50 | No |
| Vidu Q3 Pro | 🇨🇳 Shengshu | #3 Global | 1080p | — | Credits | No |
| Wan 2.7 | 🇨🇳 Alibaba | Top 5 VBench | 1080p | — | Free | Yes |
| Hailuo 2.3 | 🇨🇳 Minimax | Top 10 | 1080p | — | $0.28 | No |
| Sora 2 | 🇺🇸 OpenAI | Top 5 | 1080p | 25 sec | $2–4 | No |
| Veo 3.1 | Top 5 | 4K | — | Premium | No |
Which Model Should You Use?
Developer building a product
HappyHorse API or Wan 2.7. HappyHorse gives you the highest-quality output currently available. Wan 2.7 eliminates vendor lock-in and recurring costs entirely — and you can fine-tune it on your own data.
Content creator at scale
Kling 3.0. $0.50 per 4K 60fps clip with multi-shot AI Director support. The math works even for solo creators. The community is large and the workflow is mature.
Filmmaker or director
Vidu Q3 Pro for cinematic aesthetics, Seedance 2.0 when it returns for character consistency. Both tools think in terms of shots and scenes rather than isolated clips — the right mental model for narrative work.
Just getting started
Hailuo 2.3. Cleanest interface, lowest barrier, best pricing for experimentation. You'll get professional 1080p results without needing to understand prompt engineering.
Physics accuracy above all else
Sora 2. Still leads on simulating how the physical world behaves — glass, water, gravity, fluid dynamics. For product demos or scientific visualization, the extra cost may be justified.
FAQ
The Takeaway
The Chinese AI video wave is not a trend to watch — it's the current reality. As of April 2026, a model built by Alibaba holds the #1 spot globally. A model built by Kuaishou delivers 4K 60fps at a price that makes Western tools look expensive by design. An open-source model from Alibaba sits in the world's top five on the most comprehensive evaluation framework available.
Western labs retain advantages in physics simulation, long-clip generation, and cinema-grade audio pipelines. Those are real strengths. But the quality-per-dollar calculation has decisively shifted. For most professional use cases in 2026, the best AI video tool is Chinese.
HappyHorse is worth watching most closely. A model that debuts at #1 globally — anonymously, without a press release — suggests Alibaba has been working on this for longer than the world knew. And has more coming.
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