AI video has fully matured: Seedance 2.0 takes the lead, with an in-depth horizontal evaluation of 6 mainstream tools

In 2026, the AI video generation track has entered a fully erupted, mature competitive phase, and the breakout success of Seedance 2.0 has turned AI video creation into a "national carnival".

In just two years, AI video has evolved from the initial fragmented blurry clips of a few seconds, to today's coherent minute-long narratives and precise recreation of the real physical world. The iteration speed of AI video tools has far exceeded expectations, completing a three-leap progression from "usable" to "user-friendly" and then to "professional", driving the threshold for creative implementation to a record low—professional teams can use it to pre-visualize blockbuster scenes, while ordinary users can generate hit short videos with one click.

In this global race, every tool is defining the future of next-generation video creation with its unique advantages.

To help readers with different needs find the most suitable tool, we spent two weeks testing dozens of domestic and international AI video generation products, and finally selected 6 mainstream options to form this reference list. Covering all video creation scenarios, from zero-baseline creation to professional film post-production, from personal content creation to enterprise commercial use, this article thoroughly explains the core advantages, real-test experiences, and shortcomings of each tool, helping you avoid common selection pitfalls and pick the right AI video generation tool for your needs on the first try.

AI Video Generation Tool Leaderboard

Domestic Tools

1. Seedance AI (Seedance 2.0, ByteDance)

Seedance 2.0 is undoubtedly the leading AI video generation model today. It acts like a true AI film creator with "directorial thinking", which is exactly why it gained massive popularity recently.

First, a major breakthrough of Seedance 2.0 is its full support for 4-dimensional multi-modal mixed input of images, text, audio, and video, which brings the model's frame consistency to an unprecedentedly stable level.

Then, in terms of shot understanding, Seedance 2.0 can independently complete shot scheduling just like a professional director: knowing when to use close-ups to emphasize emotions, when to pull back to wide shots to show the environment, and when to use quick cuts to build tension. In the narrative aesthetics of cinematography, it even surpasses Sora 2.0.

Seedance 2.0 also has a remarkable subject migration feature, which sparked discussions due to its extremely high recreation accuracy. You can migrate a subject from your own photo to a corresponding character in another video, perfectly replicating the exact same actions and lip movements.

No need for complicated motion capture equipment—just a single video and a single photo, and you can migrate everything. We tested subject migration using the dance clip from *La La Land*, and the action recreation accuracy and background consistency both reached an extremely high level.

In terms of user experience, Seedance AI achieves true zero-threshold operation. It has entry points on multiple platforms including Seedance AI, Doubao, and Little Skylark, with a clean and simple interface. Even total beginners who know nothing about video production can get started and generate their first video within 3 minutes.

However, the downside is that Seedance 2.0 consumes enormous computing power, forcing high-traffic platforms like Doubao to launch a simplified version where some advanced features are unavailable. Meanwhile, restricted by compliance and safety reviews, the high-precision real-person subject migration function has strict identity verification requirements, temporarily limiting creative freedom.

Applicable Scenarios: Zero-baseline film production; digital avatar or virtual idol content creation; secondary creation of Douyin-style hit short videos.

2. Kling AI (Kling 3.0, Kuaishou)

Kuaishou's Kling 3.0 is also a "dark horse" among domestic AI video tools that has broken through in the global market. Instead of taking the "all-features-for-everyone" route, it pushes the limits on complex human limb movements and daily physical interactions, making it the top choice for Chinese-language narrative video creation.

In the AI video community, there is a classic model test meme—generating a video of "actor Smith eating noodles" to test the AI's understanding of human limb movements and physical object interactions. Kling 3.0 delivered a near-perfect result in this test: the chopstick movements to pick up noodles are natural, the drooping texture of the noodles conforms to physical laws, and the character's chewing motions and facial expressions are highly coordinated.

At the same time, Kling 3.0 is the model that best understands the story needs of Chinese users, with precise control over Chinese narrative logic. This is backed by its in-depth training on Chinese daily life scenarios, allowing it to accurately understand the daily behaviors, life scenes, and internet culture of Chinese people.

It also performs excellently in cost control for long video generation, with faster generation speed suitable for bulk creation. Although its comprehension may deviate when handling abstract sci-fi concepts or prompts with Western cultural backgrounds, Kling is overall an excellent choice for domestic AI video creators.

Applicable Scenarios: Chinese-language narrative videos; AI manhua drama production.

3. Tongyi Wanxiang (Wan 2.2, Alibaba)

Compared with Seedance and Kling, Tongyi Wanxiang is more like a customized magic tool for enterprise commercial use, belonging to a different track from the consumer-focused Seedance and Kling.

Tongyi Wanxiang Model Open Source Release

The core advantage of Tongyi Wanxiang is undoubtedly its open-source support for private deployment, which is the biggest attraction for enterprises with high data security requirements—enterprises can deploy the model on their own servers, storing all creative materials and generated videos locally to avoid commercial data leakage, a capability that consumer tools like Seedance and Kling cannot achieve.

Meanwhile, its enterprise-level customization capability is top-tier in the industry: it can deeply adapt to brand element placement, automatically adding corporate logos, brand colors, and product imagery to videos, adjusting the video style and rhythm according to enterprise needs, and even connecting to the enterprise's existing material library to seamlessly integrate AI-generated frames with the company's original assets.

In addition, Tongyi Wanxiang has controllable computing costs and maximum data security. Leveraging the ecological advantages of Alibaba Cloud, enterprises can flexibly adjust computing resources based on their own needs, with the cost of bulk video generation far lower than other tools.

Of course, this tool is not user-friendly for individual users, with a relatively high operation threshold that requires certain ComfyUI workflow knowledge to unlock its full customization potential. It also lags behind top consumer tools like Seedance and Kling in creative style diversity and visual realism.

Applicable Scenarios: Corporate brand promotional videos; custom commercial videos; long-duration course video production.

International Tools

1. Sora (Sora 2.0, Open AI)

OpenAI-Sora

As the industry's game-changer, Sora 2.0 still maintains a leading position in physical law understanding and long video generation coherence. Compared to its first version, the 2.0 iteration reaches Hollywood-level standards in seamless multi-camera language switching and complex lighting rendering.

Its biggest advantage is that its underlying logic is not "generating pixels", but "constructing a world", which means that when object occlusion or large-scale camera orbiting movements appear in the video, the frames rarely break, and object consistency is astonishing. However, it also has drawbacks: long video generation waiting time, relatively weak fine control over specific areas, and occasional blurring of human faces, giving it a strong "blind box surprise" characteristic.

What made Sora 2.0 blow up last year is its supporting Sora App experience, known as the "AI version of TikTok". It features the familiar vertical-feed interface, where users can swipe up and down to browse AI videos, like, and leave comments.

It also has highly playable Cameo and Remix features: when you see a video you like, you can modify the prompt, change the style, add characters with one click, putting friends or celebrities into the AI video to interact directly in the scene.

Sora Generated Video

Applicable Scenarios: Cinematic B-roll material generation; highly realistic sci-fi and fantasy scene construction; creative secondary creation for viral spread.

2. Veo (Veo 3.1, Google)

Veo 3.1 is the overachiever in the audio-video synchronization track: while other tools are still struggling to align lip movements and add ambient sounds in post-production, it can directly generate human voices, background sounds, and even BGM that perfectly match the visuals in one step. Its new expanded features including outpainting, frame-to-video, and component-to-video solve the common audio-video disconnect problem that plagues most tools.

Leveraging the Gemini large model, it also delivers strong performance in long video narrative logic and multilingual comprehension, with excellent ecological integration. However, its safety filtering mechanism is extremely strict: any prompt that slightly involves sensitive or controversial figures will be directly blocked. Its interface is not intuitive for users outside the Google ecosystem, and its Chinese language adaptation is inferior to domestic tools.

Veo 3.1

Applicable Scenarios: Music MV production; multilingual voiceover videos; documentary ambient sound original audio generation.

3. Runway (Runway Gen-4.5)

Runway Gen-4.5

Runway Gen-4.5 is more like an all-in-one toolbox for professional creators. Unlike other tools that focus solely on "generation capability", it fully covers both generation and professional post-production workflows.

It comes with built-in motion brush, intelligent masking, frame interpolation, and frame restoration features, offering far higher fine-grained control over visuals than pure generation tools. It also seamlessly integrates with professional software like PR and AE, with top-tier team collaboration capabilities that are deeply embedded in professional video editing workflows.

Its shortcomings are also clear: the maximum native generation image quality and long video coherence are inferior to Sora and Veo, its Chinese language support is poor, and its subscription fee is not cheap. It is more suitable for film post-production and advertising teams to do fine secondary creation, while beginners are unlikely to need so many professional features.

Applicable Scenarios: Professional VFX visual effect shot generation; fine film post-production creation; high-end dynamic poster production.

the END

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