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HappyHorse Tutorial

Model selection guide: Seedance 2.0 vs Kling 3.0 vs HappyHorse 1.0

Practical guides for using the open-source HappyHorse AI video model.

Current model landscape in 2026

Date: 2026-05-23

In the AI video generation space, three major models have emerged as leaders in 2026: Seedance 2.0 (ByteDance), Kling 3.0 (Kuaishou), and HappyHorse 1.0 (Alibaba). Each has taken the top spot on the Artificial Analysis video model leaderboard at different points.

Video model comparison: Seedance 2.0 vs Kling 3.0 vs HappyHorse 1.0

Capability comparison

Based on third-party benchmarks and user testing, here's how these models compare:

DimensionHappyHorse 1.0Seedance 2.0Kling 3.0
Text-to-Video (no audio) ranking#1 (Elo 1,357)#2 (Elo 1,273)Top tier
Image-to-Video (no audio) ranking#1 (Elo 1,406 - historical high)Top tierTop tier
Overall with audio#2#1Competitive
Narrative densityNeeds improvementExcellentGood
Single frame qualityGoodGoodExcellent
Action coherenceModerateExcellentModerate
Physics simulationGoodGoodModerate

Pricing analysis

All three models offer competitive pricing in the mainstream range:

Model720P price1080P priceBest discount
HappyHorse 1.00.9 yuan/sec1.6 yuan/sec0.44 yuan/sec (Pro member)
Seedance 2.0~1 yuan/secNot natively supported0.48 yuan/sec
Kling 3.00.48-0.96 yuan/secSupportedLimited-time 20% off

HappyHorse 1.0 stands out with its engineering efficiency: generating a 5-second 1080P video on a single H100 takes only 38 seconds — 2-3x faster than Seedance 2.0.

Selection guide

Choose HappyHorse 1.0 if:

  • You need the best visual quality in text-to-video without audio
  • You want open-source flexibility for local deployment
  • Fast generation speed is critical for your workflow
  • You prefer native 1080P output

Choose Seedance 2.0 if:

  • You need the best audio-visual sync and narrative continuity
  • Video reference features are important for your use case
  • You're already integrated with ByteDance's ecosystem

Choose Kling 3.0 if:

  • Single frame quality is your top priority
  • You need stable, consistent output for product shots
  • Budget optimization is important