WAN 2.7 Image-to-Video vs Kling Video v3 Standard (Image)
Generated on PixelDojo. Produced by PixelDojo's generation pipeline.
WAN 2.7 Image-to-Video is the cheaper and faster pick for turning a product photo into a moving shot: our test clip billed 2.5 credits and came back in about 30 seconds, while Kling Video v3 Standard billed 18 credits and took 197 seconds for the same prompt and the same starting image. Both add synchronized audio on their own, so the real choice is between WAN's per-second budget pricing and Kling's wider duration range and shot-level controls.
Same prompt, same source photo, two models
Every example below was produced on PixelDojo. Hover to see the prompt.
Slow cinematic camera orbit around the earbuds case, soft studio lighting shifts, the lid opens gently to reveal the earbuds, product commercial style
WAN 2.7 Image-to-Video
Slow cinematic camera orbit around the earbuds case, soft studio lighting shifts, the lid opens gently to reveal the earbuds, product commercial style
Kling Video v3 Standard (Image)
WAN 2.7 Image-to-Video vs Kling Video v3 Standard, dimension by dimension
Price, measured
We sent the identical earbuds orbit prompt and the identical source photo to both models on August 26, 2026. WAN 2.7 Image-to-Video billed 2.5 credits. Kling Video v3 Standard billed 18 credits, which is exactly its 3-second minimum at 6 credits per second, the cheapest duration the model allows.
Turnaround, measured
WAN 2.7 Image-to-Video finished in about 30 seconds, inside the API's synchronous window. Kling Video v3 Standard took 197 seconds for the same prompt and photo. Turnaround on both moves with queue load, but the gap here was wide enough that price and speed pointed the same direction.
Duration, resolution, and aspect ratio
WAN 2.7 Image-to-Video runs 2 to 15 seconds, offers five aspect ratios (16:9, 9:16, 1:1, 4:3, 3:4), and adds a 1080p tier at 3 credits per second on top of its 720p default of 2.5. Kling Video v3 Standard runs 3 to 15 seconds across three aspect ratios (16:9, 9:16, 1:1) at a flat 6 credits per second with no separate resolution setting, and an 8-credit-per-second Pro tier is available if you want it.
Native audio on both
Neither needs a separate audio generation step. Kling Video v3 Standard turns audio on by default through its generate_audio setting, and WAN 2.7 Image-to-Video syncs audio automatically as part of image-to-video mode.
What Kling adds
Kling Video v3 Standard accepts an elements field for character or object reference, a multi_prompt array for shot-by-shot control, and an end_image_url for locking a specific final frame. WAN 2.7 Image-to-Video has none of these.
What WAN 2.7 adds
WAN 2.7 Image-to-Video has a video-extend mode that continues a clip you already have instead of starting from a still, plus a last_frame_url input alongside the starting image. Kling's image mode takes one starting frame and an optional end frame, with no way to continue an existing clip.
When to pick each one
Pick WAN 2.7 Image-to-Video for a straightforward product move on a budget: on this test it was about seven times cheaper and about six times faster. Pick Kling Video v3 Standard when the job needs multi_prompt shot control, a locked end frame, or an elements reference for a character or object, since none of that exists on WAN 2.7 Image-to-Video.
Same prompt, same source photo, same day: WAN 2.7 Image-to-Video billed 2.5 credits and returned in about 30 seconds. Kling Video v3 Standard billed 18 credits and took 197 seconds.
Why Choose Pixel Dojo for WAN 2.7 Image-to-Video vs Kling Video v3 Standard (Image)
Professional-quality results with cutting-edge AI technology
One API key for both
Both models sit behind the same PixelDojo API key, so switching from one to the other is a one-line change to the endpoint in your request.
Refundable on failure
Both are marked refundable in the catalog, so a failed generation returns the credit instead of charging for nothing.
Same source image either way
We sent both models the identical earbuds product still, so the price and speed difference above is not explained by a different starting point.
How It Works
How we ran the matchup, so you can repeat it:
Start from the same still
We used the same product photo, a matte black earbuds case, as the source image for both models so the only variable was the model itself.
Send the identical prompt
The same orbit-and-open prompt went to WAN 2.7 Image-to-Video and Kling Video v3 Standard, each at its cheapest duration setting.
Time and price both
We bracketed each request with a timestamp and recorded the exact credit charge instead of relying on the catalog's default estimate.
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Common Questions
Everything you need to know about WAN 2.7 Image-to-Video vs Kling Video v3 Standard (Image)
Which is cheaper, WAN 2.7 Image-to-Video or Kling Video v3 Standard?
WAN 2.7 Image-to-Video, by a wide margin on this test. Our clip billed 2.5 credits against 18 credits for Kling Video v3 Standard, which was already running its cheapest 3-second duration at 6 credits per second.
Which model is faster?
WAN 2.7 Image-to-Video, measured on August 26, 2026. It returned in about 30 seconds, inside the API's synchronous window, while Kling Video v3 Standard took 197 seconds for the same prompt and source image.
Do both models add audio automatically?
Yes. Kling Video v3 Standard generates synchronized audio by default through its generate_audio setting, and WAN 2.7 Image-to-Video syncs audio automatically in image-to-video mode. Neither needs a separate audio generation step.
What duration and resolution options does each one offer?
WAN 2.7 Image-to-Video runs 2 to 15 seconds and adds a 1080p tier at 3 credits per second above its 720p default of 2.5. Kling Video v3 Standard runs 3 to 15 seconds at a flat 6 credits per second with no separate resolution setting.
Can either model continue an existing clip or lock a character?
WAN 2.7 Image-to-Video has a video-extend mode that continues a clip you already have, plus a last_frame_url input. Kling Video v3 Standard does not extend clips, but it accepts an elements field for character or object reference and an end_image_url for a fixed final frame, neither of which exists on WAN 2.7 Image-to-Video.
How do I call these from the API?
Both use the same PixelDojo key. POST to /api/v1/models/wan-2.7-i2v/run for WAN 2.7 Image-to-Video or /api/v1/models/kling-video-v3-standard-image/run for Kling, with an image URL and a prompt. Swapping between them is a one-line change to the endpoint.