Type
Spec
Rate
720p
per second
$0.18
1080p
per second
$0.225
Kling 3.0 Turbo and Grok Imagine Video 1.5 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
Kling AI 
xAI Video GenerationKling 3.0 Turbo from Kling AI and Grok Imagine Video 1.5 from xAI are both in the Video Generation category, available through the EmpirioLabs API.
| Spec | Kling 3.0 Turbo | Grok Imagine Video 1.5 |
|---|---|---|
| Model ID | kling-3-0-turbo | grok-imagine-video-1-5 |
| Author | Kling AI | xAI |
| Released | Jun 17, 2026 | Jun 16, 2026 |
| Input | Text Image | Text Image |
| Output | Video | Video |
| Endpoints | POST /v1/videos/generations | POST /v1/videos/generations |
| Capabilities |
Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.
Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.
| Parameter | Kling 3.0 Turbo | Grok Imagine Video 1.5 |
|---|---|---|
| prompt | string | string |
| image | string | string |
| resolution | 720p, 1080p Default: 720p | 480p, 720p, 1080p Default: 720p |
| aspect_ratio | 16:9, 9:16, 1:1 Default: 16:9 | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 |
| duration | 3 to 15 Default: 5 | 1 to 15 Default: 10 |
| watermark | boolean Default: false | - |
| mode | - | auto, t2v, i2v, r2v Default: auto |
| reference_images | - | string |
Text-to-video and image-to-video with synchronized native audio, up to 1080p. Workflow auto-detected: a prompt alone is text-to-video, adding a source image is image-to-video.
shot 1, <seconds>, <description>; shot 2, <seconds>, <description>;Generates video from a text prompt on its own, from a source image, or from up to seven reference images that keep characters and objects consistent across the shot.
<IMAGE_1> and <IMAGE_2> walking together through a neon-lit street at night.The mode is detected from what you send, and can be set explicitly with the mode parameter.
1080p is available for text-to-video and image-to-video. Reference-to-video supports up to 720p.
Supports prompt, mode, a source image or reference images (URL or upload), duration, resolution, and aspect ratio.
Kling 3.0 Turbo runs through POST /v1/videos/generations. The request returns a job_id right away; poll GET /v1/jobs/{job_id} until the job completes and read the output URLs from the result. Both models are called through the same endpoint. Set model to kling-3-0-turbo or grok-imagine-video-1-5. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/videos/generations \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kling-3-0-turbo",
"prompt": "Describe what you want Kling 3.0 Turbo to generate."
}'Prompt tests and comparison runs that cover both models.
Guides Seedance vs Kling vs HappyHorse vs Grok: AI Video Models Compared Seedance 2.0 Pro vs Kling 3.0 Turbo vs HappyHorse 1.0 vs Grok Imagine Video 1.5, all animating the same starting image... 
Guides Grok Imagine Video 1.5 vs Kling 3.0 Turbo: Which Video API to Use Grok Imagine Video 1.5 is image-to-video only, with low-cost 480p and seven aspect ratios. Kling 3.0 Turbo adds...Kling 3.0 Turbo is the newer release (Jun 17, 2026); Grok Imagine Video 1.5 was released on Jun 16, 2026. Capabilities listed only for Kling 3.0 Turbo: audio. Capabilities listed only for Grok Imagine Video 1.5: reference to video. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
Kling 3.0 Turbo is the newer release (Jun 17, 2026); Grok Imagine Video 1.5 was released on Jun 16, 2026.
Kling 3.0 Turbo lists the lower rate for 1080p (per second). Grok Imagine Video 1.5 lists the lower rate for 720p (per second). Both live rate cards are on this page and always match what the API charges.
Yes. Both models use POST /v1/videos/generations with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.
Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.
Check out our pricing or reach out if you want your own model deployed on our stack.