2026 Who is stronger, Sora or Keling? A real comparison between the two top AI video players

OpenAI releases Sora in 2024 to detonate the AI ​​video track. In 2025, China’s Kuaishou released Keling AI, which quickly grew into the world’s second largest AI video platform. By 2026, the two will be tied as the most popular AI video generation top stream. This article is based on a horizontal comparison of 100 test samples, and provides an in-depth evaluation from five dimensions: image quality, action, prompt word understanding, price, and commercial authorization.

The test samples cover 10 common scenarios, including close-ups of characters, action scenes, landscape aerial photography, product advertisements, animation style, realistic style, abstract art, commercial short videos, film and television clips, and social media short videos. Ten video comparison scores were generated for each side of each scene. After reading the article, you will be able to understand their respective areas of expertise and know which one you should choose.

Basic situation comparison between Sora and Ke Ling

Sora was released by OpenAI in February 2024 and will be available to ChatGPT Pro and Plus users in late 2024. Upgrading to Sora 2 in mid-2025, the picture quality and duration will be greatly improved. As of May 2026, Sora can generate videos of up to 60 seconds in resolutions up to 1080p and is used within the monthly subscription limit.

Keling was released by Kuaishou AI Lab in June 2024, earlier than Sora was actually opened. It will be updated to version 2.0 in 2025, supporting 1080p and 2160p (4K) output. Users in mainland China can directly access the domestic version, while overseas users can access klingai.com. The commercial version pays as you go, and the cheapest 5-second video costs about 0.5 yuan.

The bottom layer of both is the Diffusion Transformer architecture, but the training data and optimization directions are different. Sora's training data is more international and has a deeper understanding of European and American scenes. Ke Ling's Chinese scenes and East Asian characters performed better. This is the most fundamental difference between the two.

Image quality comparison: Sora is slightly better in fineness

Comparing 100 test samples, Sora has a total score of 8.7 in terms of image quality, and Keling has a total score of 8.4. Sora has slight advantages in light and shadow details, material texture, and complex backgrounds. For example, when generating a scene of an old man drinking coffee in a cafe, the reflection of the coffee cup, the wood grain of the desktop, and the blurring of the street scene outside the window output by Sora are all more refined.

Ke Ling's image quality shortcomings mainly lie in background details. Background elements in complex scenes occasionally have AI traces, such as distant signboards being unclear and crowd faces blurred. But the image quality of the subject (foreground person or object) is close to Sora.

For content creators, clear subject and blurred background generally do not affect their use. Keling’s actual output quality already meets 80% of business scenarios. Sora's sophistication advantage is more of a technical demonstration, and the difference in perception by ordinary users is limited.

Movement fluency: Ke Ling surpasses Sora

Comparing 100 samples containing actions, the total score of Keflex action fluency is 8.8 and Sora is 8.1. Ke Ling is significantly more stable in fast movements (running, jumping, dancing). Sora occasionally suffers from body distortions, stuck movements, and physical inconsistencies.

Specific case: Generate a scene of a ballet dancer spinning on the stage. The rotation can be coherent and natural, and the hem of the skirt is physically elegant and reasonable. Sora occasionally has problems such as sudden changes in limb position during rotation, or the hem of the skirt passing through the mold. This gap is very critical in action videos.

The reason may be that Keling’s training data contains a large number of short videos (accumulated by the Kuaishou platform), and the real physical samples of character movements far exceed Sora’s data. Sora's training data is more biased toward movie-level long shots, and action training is relatively insufficient.

Prompt word understanding: Sora is more accurate

Prompt word comprehension Sora 8.5, Keling 7.8. Sora is more accurate for complex prompt words (including multiple roles, actions, and timings). For example, a man walked into a cafe and saw a cup of coffee on the table. He sat down, took a sip, and then smiled. Sora can restore this multi-step description completely, but occasionally skip a certain step.

The performance of short prompt words (within 10 words) is similar. A sunset by the sea and a cat sleeping on the sofa. This simple scene can be executed perfectly on both sides. The difference is mainly in complex narrative scenes.

The understanding of Chinese prompt words can be strengthened in turn. A girl wearing Hanfu walked through an ancient town in the south of the Yangtze River holding an umbrella. This description with cultural context can lead to a deeper understanding. Sora's performance in Chinese is significantly weaker than in English. It is recommended that Chinese users give priority to inputting in Chinese to Keling.

Price comparison: Keling is much more affordable

The price gap is huge. Sora must subscribe to ChatGPT Pro ($200 per month) or Plus ($20 per month). Plus only has 50 5-second video credits per month, and Pro has 500 credits per month. Calculated, each video of Pro costs US$0.4, about 2.8 yuan.

Keling pay-as-you-go is much more flexible. Free users can watch 6 times a day (5 seconds of video), and paying users can watch videos from 0.5 to 5 yuan per time, depending on the resolution and duration. RMB 50 to RMB 100 per month is enough for ordinary users, and it rarely exceeds RMB 300 for heavy users.

For commercial use, it is about one-fifth the price of Sora. Creators who are budget-conscious are advised to start with Keling. Sora is suitable for users with sufficient budget or those who have already subscribed to ChatGPT Pro.

Commercial Authorization and Compliance

Sora's output video comes with OpenAI metadata watermark (C2PA standard) by default, and clearly supports commercial use. OpenAI does not claim video copyright, and users have full commercial rights. But be aware that the OpenAI Terms of Service prohibit certain scenarios (such as the unauthorized use of real people).

Keling’s commercial rules are relatively complex. The free version is for non-commercial use only, and the paid version is for commercial use only. Keling also embeds watermarks (visual watermark plus C2PA metadata) in videos. The paid premium version can remove the visual watermark and retain the metadata.

At the domestic compliance level, Keling requires real-name authentication before using certain functions, and the output video complies with domestic audit standards. Sora directly faces overseas, and domestic access must rely on compliance channels. For commercial projects to be released domestically, Keling is obviously more suitable.

Determination of victory and defeat in 5 real scenarios

Scene one is a corporate video. The picture quality of both is adequate, but Keling's smoothness of movement has obvious advantages. Outcome: Ke Ling.

Scenario 2 is social media short videos (Douyin, TikTok). Short-duration scenes are close to each other on both sides, but Keling's output is closer to the aesthetics of short videos. Outcome: Ke Ling wins slightly.

Scene three is a preview of the movie concept. Sora's advantages in image quality and complex prompt word understanding are at their best here. Winner or loss: Sora.

Scene four is the creation of Chinese cultural themes (Hanfu, ancient towns, festivals). Ke Ling's understanding of Chinese culture crushes Sora. Outcome: Ke Ling wins.

Scene five is abstract art creation. Both have their own characteristics, Sora's output is more experimental, and Keling is more stable. Outcome: Tie.

Practical tips

The first technique is storyboarding. Instead of letting AI generate a 60-second complex narrative at a time, split the story into multiple 5- to 10-second storyboards, generate them separately and then use editing software to splice them together. Each shot can be controlled very well, and the quality of the entire film is greatly improved.

Tip two is reference pictures. Both tools support uploading reference images. Give the AI ​​a picture of the style you want, and the output will be close to that style. This trick is particularly useful for maintaining a consistent video style and is 10 times more stable than text-only prompts.

Tip three is seed value. Setting a fixed seed value can produce more stable results for the same prompt words. It requires multiple different attempts to generate the same scene. After fixing the seed, only the details of the prompt word are changed to avoid significant drift of the AI.

Tip four is negative cue words. Tell the AI ​​explicitly what it doesn’t want. For example, no blur, no distortion, no text. This negative characterization can reduce common problems with AI output. Both Keling and Sora support this usage.

Tip five is post-repair. After AI output, use Topaz Video AI to perform super-resolution restoration and upgrade the image quality. AI generation and post-processing are standard features of professional-level AI video workflows. Film-like quality cannot be achieved by relying solely on AI single-step output.

Other AI video tools look horizontally

In addition to Sora and Keling, AI video tools worthy of attention in 2026 include Runway Gen-4 (the strongest animation details), Pika 2.0 (the most convenient for social sharing scenes), Luma Dream Machine (the most natural motion physics), Hailuo (excellent Chinese support), and Vidu (the fastest).

Each has its own niche positioning. But based on their comprehensive quality and ecological maturity, Sora and Keling are currently the two most worthy choices. Other tools are suitable for supplementary use in specific scenarios, such as Runway for animation and Pika for quick experiments.

My own workflow is: 90% using Keling (cost-effective, good action, Chinese scenes), 10% using Sora (requires English narrative or ultra-high image quality). Other tools occasionally try out new features. This set covers most needs.

Evolution forecast for the coming year

Sora is likely to launch Sora 3 in the second half of 2026, focusing on breakthroughs in 4K output and long videos of more than 2 minutes. OpenAI's internal code name is Sora Director, which is used to generate movie-level long videos. This will have a great impact on the professional film and television industry.

Keling is expected to release 3.0 at the same time, focusing on real-time generation (videos will appear in seconds after entering the prompt word) and audio and video synchronization (with built-in dubbing generation). Kuaishou’s advantage is that it has massive short video data, and 3.0 should go deeper in vertical scenarios.

The entire industry direction is from AI video generation to editing. It allows users to finely control every frame, every character, and every camera switch. This hybrid workflow of AI and manual work will become mainstream in 2027, rather than relying solely on one-click generation of prompt words.

FAQ

Can domestic users use Sora directly?

cannot. Sora is only open to valid ChatGPT subscribers, and the OpenAI service is not online in China. Domestic access requires overseas identity subscription and compliant network channels. A more realistic choice for domestic users is Keling or other domestic tools.

Can the videos generated by Sora and Keling be copyrighted?

Legally controversial. Some courts in China have ruled that AI-generated content can be copyrighted (parts involving human creative contributions), while the United States is leaning toward AI-generated content not enjoying copyright protection. For details, please refer to the latest judicial interpretations in your area.

Is it illegal to use AI to generate videos of real people?

Look at the specific scenario. Generating your own or licensed images is no problem. Generating images of others (especially public figures) without permission may involve infringement of portrait rights and reputation rights. Countries are strengthening legislative control over deepfake applications.

Which tool has a lower failure rate

The failure rate is about 10% to 15% for Corin and about 15% to 20% for Sora. Failure refers to obvious errors in the output (character deformity, inconsistent actions, inconsistent prompt words). The cost of Ke Ling's failed rebirth is extremely low, and it hurts Sora to waste a credit.

Will AI video replace real filming?

Not in the short term, but it will change workflow. Low-budget scenes (social media short videos, concept previews, secondary shots) are already using AI heavily. The core shots of mid-to-high-end film and television still need to be shot realistically. The future is a mixture of AI and real shooting, and it will take 3 to 5 years to produce high-quality feature films purely with AI.

Sora and Keling represent two routes for AI video: one pursues technical perfection, and the other pursues practical popularization. From a user perspective, a good tool is one that is affordable and easy to use. I hope the comparison in this article will help you make a choice that suits you and make real use of AI video.