What Motion Control AI uses today
Every generation runs Kling 3.0 Pro in 1080p at 2.2 credits per detected second. There is no model picker, the strongest tier is applied automatically.
Motion Control AI
Motion Control AI runs Kling 3.0 Pro, the highest-fidelity tier, as its single fixed model at 2.2 credits per second.
Every generation runs Kling 3.0 Pro in 1080p at 2.2 credits per detected second. There is no model picker, the strongest tier is applied automatically.
Kling 2.6 Pro is the lower-rate tier in the Kling lineup. Kling 3.0 is the higher-fidelity generation. Motion Control AI skips the trade-off and uses 3.0 Pro for every video.
Keep the character, reference video, framing, and prompt unchanged when evaluating any motion control output. This makes visual differences easier to judge.
Use these checks to make the image, reference motion, and intended output work as one production setup.
Earlier Motion Control AI builds exposed Kling 2.6 Pro at 1.6 credits per reference-video second and Kling 3.0 Standard at 1.8 credits per second. The current build replaces both with Kling 3.0 Pro at 2.2 credits per second, so a 10-second clip costs 22 credits regardless of framing mode.
Duration depends on framing mode. Image framing supports 3 to 10 seconds. Video framing supports 3 to 30 seconds. The detected movement-video length sets the credit cost, which is rounded up to a whole credit and shown before you generate.
Use the same character image, reference video, prompt, and framing mode across runs. Review face stability, hand shape, clothing detail, pose accuracy, and transitions at the same timestamps. Because the model is fixed, differences between runs come from the inputs rather than the tier.
Focus on input quality when a result is off. A clear character image with visible limbs and a movement clip where the person stays fully in frame matter more than any remaining tier choice. Judge the output against the purpose of the shot, a clean readable gesture can matter more than small texture improvements for a mobile social clip.
Start with a short reference to validate body coverage, starting pose, and general identity. Fix obvious input problems before extending the clip. Once the character transfers reliably, repeat the exact setup with the final movement and add a style prompt for the background, lighting, and atmosphere.
Keep notes for each result rather than relying on memory. Record the input duration, framing mode, prompt, and the defect or improvement you observed. A rights review, a complete playback check, and final editing are still required before publication.
| feature | kling26 | kling30 |
|---|---|---|
| Motion Control AI model | not offered | Kling 3.0 Pro (fixed) |
| Credit rate | 1.6 credits per reference-video second | 2.2 credits per reference-video second (3.0 Pro) |
| Image-oriented duration | 3 to 30 seconds | 3 to 10 seconds |
| Video-oriented duration | 3 to 30 seconds | 3 to 30 seconds |
| Output resolution | Varies by provider | 1080p on Motion Control AI |
| Suggested testing role | Lower-rate input and framing tests | Highest-fidelity transfer for every shot |
Model quality varies by character style and movement. Motion Control AI applies one fixed model, so input quality drives the result.
Kling 3.0 Pro, the highest-fidelity Kling motion control tier, for every video. There is no model picker.
Image framing is capped at 10 seconds. Use video framing for clips up to 30 seconds.
KIE Kling 3.0 Pro motion control generates video without the original audio. Add sound later in your editor if needed.
At 2.2 credits per detected second, a 20-second clip uses 44 credits. The total is rounded up and shown before you generate.
Change one input at a time. Keep the prompt stable while you adjust the character, movement, or framing so you can tell what caused the difference.
Prepare one character image and one reference video. Review the credit cost before you generate.
Open Motion Control Generator