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Comparison8 minutes

Kling 3.0 Turbo vs Seedance 2.5 vs Wan 3.0: Which Video Model Should You Use?

Choose by input control, duration, synchronized audio, and current online pricing

hiapiKling 3.0Seedance 2.5Wan 3.0Comparison

For a short, silent Kling-specific route from 3–15 seconds, start with Kling 3.0 Turbo. For continuous clips up to 30 seconds with synchronized audio, look at Seedance 2.5. For workflows that need images, video, audio, files, or webpages as generation inputs, use Wan 3.0. Wan 3.0 Video has the lowest listed 720p price in this table at $0.08/second. Wan 3.0 Prime is the accelerated Wan route, and reference-video input is currently unavailable on Prime.

All three models can be called through HiAPI with one API key and the same asynchronous task pattern. The recommendations below use verified capabilities and current online prices. There is no unified three-way same-prompt test here, so this article does not rank speed or visual quality.

Kling 3.0 Turbo: short clips and silent output

The Kling 3.0 Turbo text-to-video model ID is kling-3.0-turbo/text-to-video, with a separate image-to-video model page. Text-to-video supports 3–15 seconds, 720p or 1080p, and landscape, portrait, or square output. This Turbo route currently has no sound option.

On HiAPI, Kling 3.0 Turbo costs $0.13/second at 720p and $0.16/second at 1080p. It fits jobs that specifically need the Turbo short-clip route, silent output, and its 3–15 second range. Wan 3.0 Video is listed below Turbo at 720p, so Turbo should not be described as the cheapest or fastest route.

Seedance 2.5: long takes, synchronized audio, and references

Seedance 2.5 has separate text-to-video, image-to-video, and reference-to-video routes. Text-to-video and image-to-video support clips up to 30 seconds at 720p or 1080p and can generate synchronized audio. Image-to-video accepts a first frame or a first/last-frame pair. Reference-to-video has separate inputs and billing, so its rates should not be reused for text-to-video or image-to-video.

The current online customer prices for Seedance 2.5 text-to-video and image-to-video are $0.204/second at 720p and $0.516/second at 1080p. Reference-to-video bills reference-video duration plus output duration, with its own resolution rates; check that model page before estimating a job.

Wan 3.0: broader input control

The Wan 3.0 Video model ID is wan3.0-video. It supports 2–30 seconds, 480P/720P/1080P, and adaptive, landscape, portrait, and square framing. Alongside prompts and first/last frames, it accepts reference images, reference video, reference audio, a publicly reachable file, or a webpage, and it can generate synchronized audio.

The Wan 3.0 Prime model ID is wan3.0-video-prime. It has the same 2–30 second and 480P/720P/1080P range. Prime is the accelerated Wan route and accepts reference images, reference audio, files, and webpages; reference-video input is currently unavailable on this route.

Current online prices are:

Model480P720P1080PThe choice it supports
Kling 3.0 Turbo—$0.13/s$0.16/s3–15 second clips and silent output
Seedance 2.5—$0.204/s$0.516/sLong takes, synchronized audio, first/last frames
Wan 3.0 Video$0.04/s$0.08/s$0.16/sReference video or multiple input types
Wan 3.0 Prime$0.0875/s$0.18/s$0.36/sFaster iteration on the Wan route

How to read the existing two-model examples

The two clips below are the real Kling 3.0 Turbo and Seedance 2.5 outputs from the existing article. They remain useful as examples of those two models, but they are not Wan 3.0 results and do not form a three-way same-prompt test.

In the existing test, Kling 3.0 Turbo showed more direct camera motion, while Seedance 2.5 produced a steadier visual and camera feel. Results vary with the prompt, input image, and task settings, so test your own material before committing.

How to choose

Choose Kling 3.0 Turbo for short-form ads, social clips, and jobs that specifically need the 3–15 second silent Turbo route.

Choose Seedance 2.5 for one-take scenes, synchronized audio, and jobs that use a first frame or first/last frames to control the start and end of a shot.

Choose Wan 3.0 Video when the workflow needs reference video, or when images, video, audio, files, or webpages need to guide generation. Choose Wan 3.0 Prime for frequent iteration or batch work on the Wan route when the higher per-second price is acceptable and reference video is not required.

Calling all three through one API

All three models use HiAPI's asynchronous task interface. For a controlled comparison, keep the prompt, duration, and resolution consistent, change the model value, and inspect motion, composition, audio, and cost for your own content. Use the model page and API documentation for the current request fields.

FAQ

Which model is the cheapest?

At the current 720p per-second rates, Kling 3.0 Turbo is $0.13, Wan 3.0 Video is $0.08, Seedance 2.5 is $0.204, and Wan 3.0 Prime is $0.18. Total spend also depends on output duration and whether you use a separate route such as reference-to-video.

Do all three models support long clips?

Seedance 2.5 text-to-video and image-to-video support 4–30 seconds. Wan 3.0 Video and Wan 3.0 Prime support 2–30 seconds. Kling 3.0 Turbo supports 3–15 seconds.

What is the difference between Wan 3.0 Video and Prime?

They are in the same Wan 3.0 family and have similar input and output ranges. The standard route accepts reference video. Prime is the accelerated route, does not currently accept reference video, and has different pricing.

Which model has the best quality or fastest speed?

This article does not have a unified three-way test to support that ranking. Run the same prompt at the same duration and resolution, then judge the outputs against your own material.

Conclusion

Kling 3.0 Turbo fits 3–15 second silent clips. Seedance 2.5 fits long takes, synchronized audio, and first/last-frame control. Wan 3.0 fits workflows with richer reference inputs, while Prime fits faster Wan iteration when its higher cost is acceptable. Since all three can be called with one HiAPI key, start with the required inputs and duration range before comparing model names.

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