Author: Changan I Biteye Content Team
At the launch event, Google demonstrated Gemini Omni's capabilities, which can accept text, images, audio, and video as inputs to generate videos, and further refine them through conversation. The company stated that Gemini Omni will replace Veo in the Gemini app, supporting 10-second video generation, native audio generation, reference-image-based generation, and video-to-video editing.
Prior to this, Seedance 2.0 was virtually unavoidable in the creator community for AI-generated videos, as its advantages were clear: stable motion, strong cinematic feel, synchronized audio-visual generation, and excellent short-form video production quality.
So the question arises:
What are the key differences between Gemini Omni and Seedance 2.0? Which is better for creators? This article compares them from three practical perspectives: price cost, product experience, and video quality.
I. Price Comparison: The Real Cost of Video Models Lies in "Waste Frame Costs"
Let’s start with the most practical question: How much does it cost to make one transaction?
When comparing Gemini Omni and Seedance, the price shouldn't be judged solely by the subscription fee, but by two key questions:
What is the cost to produce one video?
How many attempts are needed to produce a usable video?
1. Gemini Omni: More like a "Subscription + Flow Credits" model
Gemini Omni uses the Google AI membership plus Flow Credits model.
According to AI Ultra high-performance computing, 25,000 credits per month can generate approximately 8,333 seconds of video. From this perspective, Gemini’s pricing structure is clear: the higher the tier, the more significantly the cost per second decreases.
The cost of AI Plus is approximately 0.82 yuan per second, which isn't particularly low; however, with AI Pro, the cost drops to 0.41 yuan per second. If you opt for the Ultra tier and fully utilize your monthly quota, the cost per second can be reduced to around 0.2 yuan per second.
So Gemini Omni is better suited for two types of people:
Users already using Google AI Pro/Ultra gain video capabilities equivalent to direct integration into their existing subscription plan.
High-frequency video creators benefit from lower average costs as production volume increases.
⚠️ However, please note: this cost is calculated based on U.S. region pricing. For users in China, actual usage must also take into account account region, payment method, and access stability.
2. Seedance: At the original annual price of Jimeng, 10 seconds consumes 140 points.
Ji Meng uses a membership + points system: members receive a set number of points each month, and points are deducted when generating videos based on the model, duration, and resolution.
At the premium tier, 6,160 points per month can generate approximately 440 seconds of video.
From this perspective, Seedance’s cost is approximately stable at 1 yuan per second. Basic members pay about 1.06 yuan per second, Standard members about 1.00 yuan per second, and Premium members about 0.98 yuan per second.
Unlike Gemini, the cost per second between Seedance’s tiers doesn’t vary significantly. While premium members pay less per second, the main advantage isn’t a drastic reduction in cost per second, but rather the ability to generate more video minutes each month.
Its advantages lean toward the domestic user experience: more direct access, more convenient payments, a more friendly Chinese-language environment, and better suitability for domestic creators to get started quickly.
Two, Product Experience: Gemini feels more like a workflow, while Seedance feels more like a creative tool.
1. Generation efficiency: Gemini is faster, while Seedance has longer wait times.
First, look at the generation speed.
In my actual testing, Gemini Omni takes about 2 minutes to generate a video, while Seedance has a longer wait time, typically around 5–6 minutes.
Gemini's advantage lies in its faster iteration speed—you can see results more quickly and more easily maintain your creative flow.
The issue with Seedance is that each wait time becomes longer, and if the result is unsatisfactory, regenerating another version quickly increases the time cost.
Therefore, from an efficiency standpoint, Gemini is better suited for rapid prototyping and inspiration testing, while Seedance is ideal for final generation after the visual concept has been clearly defined.
2. Candidate version: Gemini can generate multiple outputs at once, meaning it leans more toward single-generation output.
Gemini Omni offers options for x1 / x2 / x3 / x4; for example, if a 10-second video consumes 30 credits, selecting x2 will consume 60 credits.
Because AI-generated videos have high variability, the same prompt can produce significantly different results. Generating four versions at once allows users to directly select the best one instead of waiting in line to generate them one by one.
Meanwhile, Ji Meng is more focused on single-generation outputs.
So here we can determine:
Gemini is better suited for quick draws and filtering.
Ji Meng is better suited for generating single outputs after clear parameters are set.
3. Video duration: Ji Meng up to 15 seconds, Gemini up to 10 seconds
The third difference is video duration.
Based on current product experience, Gemini Omni can generate videos up to 10 seconds long, while Ji Meng can generate videos up to 15 seconds long.
If you want to create a slightly more comprehensive shot—such as a person entering and sitting down, a product transitioning from a wide shot to a close-up, or a short narrative action—10 seconds may sometimes feel insufficient.
Fifteen seconds may not seem long, but the extra 5 seconds compared to 10 seconds can allow for one additional action or camera transition in a video.
So in terms of duration:
Gemini is better suited for short clips and fast-paced content.
Seedance is better suited for slightly longer video clips.
If you're working on short films, ad storyboards, or emotional storytelling, Seedance's 15-second limit is more practical.
4. Video editing: Gemini can continue editing, while Seedance is more like regenerating from scratch.
In video generation, a very practical question is: What if you're not satisfied with the first version?
Generating images is manageable, and pulling a new one doesn't cost much; but when videos involve duration, queuing, points, and review, each retry increases the cost.
From a product experience perspective, Gemini Omni places greater emphasis on "editing" capabilities. Rather than simply asking users to rewrite prompts and regenerate, it integrates the video into a more continuous creative workflow: generate an initial version, then refine it based on existing results—such as adjusting the visuals, changing the style, replacing elements, or further optimizing the shots.
Gemini’s advantage lies in treating video generation as an ongoing, interactive process.
Seedance's current experience leans more toward traditional generation tools. Its strength lies in the generated output itself—particularly in visuals, motion, and cinematic feel. However, if the first result isn't satisfactory, users often need to adjust the prompt, reference images, or parameters and regenerate.
5. Review mechanism: The restrictions on both sides are in opposite directions
Review is also an unavoidable part of actual usage; based on my testing, the review priorities on both sides differ.
Gemini Omni applies generally strict review standards to video content. A notable example is that even content rendered in a chibi or cartoonish style may still fail审核. In other words, adopting a more "fictional" art style does not automatically result in relaxed restrictions.
Interestingly, for certain real-person-related content, Gemini is not as strict as I expected. As long as the content does not clearly involve sensitive figures, infringement, misinformation, or high-risk material, some real-person-style videos can still be generated.
Seedance's review guidelines place greater emphasis on real-person and likeness risks. Content involving real individuals, celebrity faces, similar portrayals of famous people, film or TV characters, or public figures is more likely to trigger restrictions—even if the creator intends only an entertaining expression, it may still be blocked.
III. Video Quality: The real difference isn't in individual frames, but in how it looks when it moves.
At the video level, the most critical question becomes: Can the generated video actually be used?
I didn’t conduct any particularly complex tests; instead, I focused on scenarios most commonly used by creators and generated several practical examples, including character combat, video generation from reference images, and character consistency.
The most noticeable feeling at the moment is:
Gemini Omni has strong video capabilities, but its style leans more toward international contexts; Seedance feels more natural in visual styles, character movements, and anime-inspired contexts familiar to Chinese creators.
1. Content understanding: Gemini has more freedom in expression but tends to lean toward an English-language context.
I tested a fairly typical video scenario:
Generate a video of two characters fighting.
This test may seem simple, but it's actually well-suited for observing the model's ability to think creatively.
Because I did not strictly limit what the character could say or specify the language for the dialogue, Gemini Omni took the initiative to expand the video content, even generating dialogue and audio on its own.
But the issue lies here: Gemini's freeform output is clearly more oriented toward an overseas context.
Without language restrictions, the characters in the videos it generates speak English, indicating that Gemini's default output aligns more closely with English content creation logic. If you're creating Chinese short videos, Chinese remixes, or narrative content in a Chinese context, you must explicitly specify the language in your prompt.
2. Role Consistency: Gemini has the ability to reference images, but there may still be deviations in character representation.
I also tested generating a video from the reference image.
This test primarily examines one question:
After providing a reference image of the character, can the character remain consistent in the video?
As a result, while Gemini Omni can generate videos based on reference images, the characters in the final video may still differ from the original reference image and cannot fully maintain character consistency.
The details of the character may differ slightly from the reference.
If you're only creating a mood video, a funny video, or a creative short, some variation in the characters is acceptable. However, if you're aiming for a consistent IP character, Omni is completely unsuitable.
3. Motion Continuity: Gemini sometimes appears as fragmented clips, while Seedance resembles complete, fluid motions.
There's another obvious issue in the fight video: the character movements lack smoothness.
The character movements in the fight video generated by Gemini appear disjointed, as if they are several separate action clips stitched together rather than a single, continuous motion.
For example, the character has all the necessary actions—such as starting from a ready stance, attacking, dodging, and moving—but the transitions between them aren't smooth, making the video look like "AI stitched together a few keyframes" rather than a realistic, continuous motion.
This is more noticeable in scenes involving combat, running, jumping, turning, or multiplayer interactions. It’s less apparent with simple camera pushes, slight character movements, or product displays.
Seedance better aligns with creators' expectations in these scenarios. Its movements and camera work typically resemble a complete video clip, especially in anime-style, combat, or short-form action scenes, resulting in a more natural overall rhythm.
4. Video editing: Gemini can edit videos, which is one of its greatest strengths.
However, Gemini also has a significant advantage at the video level: it supports AI editing of existing videos.
This means you can upload a real-world video and let Gemini use AI to edit its content—for example, modifying elements within the scene, replacing parts, changing the style, or combining real footage with AI-generated content.
This differs from Seedance’s product scope.
If you want to combine real-life footage with AI-generated visuals, Seedance’s current standard approach still relies primarily on transitions: first shoot a segment of real-life video, then generate a segment of AI video, and connect them with editing transitions.
IV. Final Thoughts: Seedance is more of a generator, while Omni is more like a video editor.
After this comparison, the biggest takeaway is that Seedance and Gemini Omni have different priorities.
Seedance is more like a mature AI video generation tool, with its core capability being the conversion of text or images into videos.
In the two most common scenarios—text-to-video and image-to-video—Seedance remains more stable, delivering visuals that better align with Chinese creators’ aesthetics, smoother motion, and greater success in scenes like anime, combat, and short videos.
If your goal is to turn a prompt into a video or transform a still image into an animated scene, Seedance is currently the best choice.
However, Omni's standout feature is its ability to AI-edit existing videos.
This means users don’t have to start from a blank prompt—they can build upon existing content by changing the background, adjusting the style, replacing elements, or even combining real-world photos with AI-generated imagery.
If you want to generate videos, Seedance is now stronger.
If you're editing videos, Omni has greater potential.
The next stage of AI video may not just be "generating a video," but enabling AI to directly edit videos as easily as images.
From this perspective, Seedance represents a more mature generation capability today, while Omni is more like an exploration of future video editing workflows.