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Video AI models
Browse the complete list of Video AI models. Compare specifications, benchmark scores and provider pricing on GenAIList.
Pika 2.1
๐บ๐ธ Pika Labs
Cosmos-Predict1-14b-Video2World
๐บ๐ธ NVIDIA
Cosmos-Predict1-7b-Video2World
๐บ๐ธ NVIDIA
LTX-Video-0.9.1. 2B
๐ฎ๐ฑ Lightricks
HiDream Foundation Model 1.0
๐จ๐ณ HiDream
Zhixiang 3.0 (ๆบ่ฑก)
๐จ๐ณ HiDream
VRMBG 2.0
๐บ๐ธ BRIA AI
Kling 1.6 Pro
๐จ๐ณ Kuaishou Technology
Veo 2
๐บ๐ธ Google DeepMind
Pika 2.0
๐บ๐ธ Pika Labs
Apollo 1.5B
๐บ๐ธ Meta AI
Apollo 3B
๐บ๐ธ Meta AI
Apollo 7B
๐บ๐ธ Meta AI
Sora Turbo
๐บ๐ธ OpenAI
Hailuo I2V-01-Live
๐จ๐ณ MiniMax
Hunyuan Video
๐จ๐ณ Tencent
Vidu 1.5
๐จ๐ณ ShengShu
VASA-1
๐บ๐ธ Microsoft Research Asia
Mochi 1
๐บ๐ธ Genmo
Emu3
๐จ๐ณ Beijing Academy of Artificial Intelligence / BAAI
Xunguang
๐บ๐ธ Alibaba DAMO Academy
Allegro
๐บ๐ธ Rhymes AI
Pika 1.5
๐บ๐ธ Pika Labs
Firefly Video
๐บ๐ธ Adobe
T2V-Turbo-v2
๐บ๐ธ University of California Santa Barbara (UCSB)
CogVideoX
๐จ๐ณ Zhipu AI
Pyramid Flow
๐จ๐ณ Peking University
Movie Gen Video
๐บ๐ธ Meta AI
ByteDance Seaweed
๐จ๐ณ ByteDance
PixelDance
๐จ๐ณ ByteDance
Kling 1.5 Pro
๐จ๐ณ Kuaishou Technology
Luma Ray 1.6
๐บ๐ธ LumaLabs
MiniMax Video-01
๐จ๐ณ MiniMax
Gen-3 Alpha Turbo
๐บ๐ธ Runway
X-Portrait
๐จ๐ณ ByteDance
Gen-3 Alpha
๐บ๐ธ Runway
Animate Anyone
๐จ๐ณ Alibaba
Luma Dream Machine
๐บ๐ธ LumaLabs
Kling
๐จ๐ณ Kuaishou Technology
Doubao Video Generation model
๐จ๐ณ ByteDance
Veo
๐บ๐ธ Google DeepMind
Vidu
๐จ๐ณ Tsinghua University
Genie
๐บ๐ธ Google DeepMind
Sora
๐บ๐ธ OpenAI
Lumiere
๐บ๐ธ Google Research
VideoCrafter2
๐จ๐ณ Tencent
VideoPoet
๐บ๐ธ Google Research
W.A.L.T
๐บ๐ธ Stanford University
HiDream Large Model 1.0
๐จ๐ณ HiDream
GAIA-1
๐ฌ๐ง Wayve
Show-1
๐จ๐ณ National University of Singapore
VideoMAE V2
๐บ๐ธ Nanjing University
Gen-2
๐บ๐ธ Runway
Gen-1
๐บ๐ธ Runway
UniPi
๐บ๐ธ Google DeepMind
Imagen Video
๐บ๐ธ Google Brain
Make-A-Video
๐บ๐ธ Meta AI
CogVideo
๐จ๐ณ Tsinghua University
MuZero VP9
๐ฌ๐ง DeepMind
TriNet
๐ฉ๐ช Visual Computing Institute
About Video AI models
This page lists every Video AI models tracked on GenAIList. When choosing a model, weigh raw capability against practical constraints like context window, latency, licensing and price. Open-weights and open-source models can be self-hosted and fine-tuned, while proprietary models often lead on raw quality. Compare benchmark scores on our benchmarks page and put two candidates head to head with compare.
Frequently asked questions
How do I choose the right model?
Weigh raw capability against practical constraints like context window, latency, licensing and price. Use the benchmarks page to compare rankings and the compare tool to evaluate two candidates side by side.
Where can I see benchmark scores?
Visit the benchmarks page to compare these models on standardised tests, then use the compare tool for a detailed side-by-side of any two models.