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Video AI models
Browse the complete list of Video AI models. Compare specifications, benchmark scores and provider pricing on GenAIList.
Kling 3.0 Turbo
Kuaishou
Grok Imagine Video 1.5
🇺🇸 xAI
Seedance 2.0 Mini
🇨🇳 ByteDance
Ray3.2
🇺🇸 Luma AI
Sculpt4D
🇨🇳 Tencent ARC Lab
Aleph 2.0
🇺🇸 Runway
Gemini Omni
🇺🇸 Google DeepMind
Hyperion 2
Topaz Labs
Astra 2
Topaz Labs
Emu3.5
🇨🇳 Beijing Academy of Artificial Intelligence / BAAI
Veo 3.1
🇺🇸 Google DeepMind
Kandinsky 5.0 Video Lite
🇷🇺 Sber
Sora 2.0
🇺🇸 OpenAI
Cosmos-Predict2.5 2B
🇺🇸 NVIDIA
Cosmos-Predict2.5-14B
🇺🇸 NVIDIA
Cosmos-Transfer2.5-2B
🇺🇸 NVIDIA
Wan 2.5
🇨🇳 Wan-AI
Kling 2.5 Turbo
🇨🇳 Kuaishou Technology
Fabric 1.0
🇬🇧 Veed
Lucid Origin
🇦🇺 Leonardo AI
Wan 2.2 14B S2V
🇨🇳 Wan-AI
Marey Realism v1.5
🇨🇦 Moonvalley
Veo 3 Fast
🇺🇸 Google DeepMind
Wan 2.2 14B I2V
🇨🇳 Wan-AI
Wan 2.2 14B T2V
🇨🇳 Wan-AI
Minimax Hailuo 02
🇨🇳 MiniMax
Cosmos-Predict2-14B-Video2World
🇺🇸 NVIDIA
Cosmos-Predict2-2B-Video2World
🇺🇸 NVIDIA
Seedance 1.0
🇨🇳 ByteDance
Kling 2.1
🇨🇳 Kuaishou Technology
Veo 3
🇺🇸 Google DeepMind
LTX-Video-0.9.7. 13B distilled
🇮🇱 Lightricks
Pixverse v4.5
🇨🇳 PixVerse AI
Hunyuan T1-Vision
🇨🇳 Tencent Hunyuan
Hunyuan T1-Vision
🇨🇳 Tencent
LTX-Video-0.9.7. 13B
🇮🇱 Lightricks
SkyReels-V2
🇨🇳 Kunlun Inc.
Kling 2.0 Video Generation
🇨🇳 Kuaishou Technology
Seaweed-7B
🇨🇳 ByteDance
Gen-4 Turbo
🇺🇸 Runway
Amazon Nova Reel
🇺🇸 Amazon
SkyReels-A2
🇨🇳 Kunlun Inc.
Gen-4
🇺🇸 Runway
GAIA-2
🇬🇧 Wayve
Diffusion Renderer
🇺🇸 NVIDIA
Cosmos-Transfer1-7B
🇺🇸 NVIDIA
Marey
🇨🇦 Moonvalley
Character-3
🇺🇸 Hedra AI
LTX-Video-0.9.5. 2B
🇮🇱 Lightricks
Hailuo I2V-01-Director
🇨🇳 MiniMax
Hailuo T2V-01-Director
🇨🇳 MiniMax
Pika 2.2
🇺🇸 Pika Labs
Wan 2.1 14B I2V
🇨🇳 Wan-AI
Step-Video-T2V
🇨🇳 StepFun
SkyReels-A1
🇨🇳 Kunlun Inc.
OmniHuman-1
🇨🇳 ByteDance
Animate Anyone 2
🇨🇳 Alibaba
Goku+
🇺🇸 The University of Hong Kong
Goku-8B
🇺🇸 The University of Hong Kong
Luma Ray2
🇺🇸 LumaLabs
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.