Type
Spec
Rate
720p
per second
$0.14
1080p
per second
$0.18
HappyHorse 1.1 and Grok Imagine Video 1.5 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
Alibaba Cloud 
xAI Video GenerationHappyHorse 1.1 from Alibaba Cloud and Grok Imagine Video 1.5 from xAI are both in the Video Generation category, available through the EmpirioLabs API.
| Spec | HappyHorse 1.1 | Grok Imagine Video 1.5 |
|---|---|---|
| Model ID | happyhorse-1-1 | grok-imagine-video-1-5 |
| Author | Alibaba Cloud | xAI |
| Released | Jun 22, 2026 | Jun 16, 2026 |
| Input | Text Image | Text Image |
| Output | Video | Video |
| Region | Singapore | - |
| 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 | HappyHorse 1.1 | Grok Imagine Video 1.5 |
|---|---|---|
| prompt | string | string |
| mode | auto, t2v, i2v, r2v Default: auto | auto, t2v, i2v, r2v Default: auto |
| image | string | string |
| aspect_ratio | 16:9, 9:16, 1:1, 4:3, 3:4 Default: 16:9 | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 |
| resolution | 720p, 1080p Default: 720p | 480p, 720p, 1080p Default: 720p |
| duration | 3 to 15 Default: 5 | 1 to 15 Default: 10 |
| seed | 0 to 2147483647 | - |
| watermark | boolean Default: false | - |
| reference_images | - | string |
Modes (in one model)
Native audio is generated automatically.
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.
HappyHorse 1.1 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 happyhorse-1-1 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": "happyhorse-1-1",
"prompt": "Describe what you want HappyHorse 1.1 to generate."
}'Prompt tests and comparison runs that cover both models.
Guides Seedance 2.5 vs MiniMax H3 vs Grok Imagine Video 1.5 vs HappyHorse 1.1: image to video test Seedance 2.5, MiniMax H3, Grok Imagine Video 1.5 and HappyHorse 1.1 all animated the same vertical starting image across... 
Guides HappyHorse 1.1 vs Seedance 2.0 vs Grok Imagine: AI Video Models Compared We gave four image to video models, HappyHorse 1.1, Seedance 2.0 Mini, Seedance 2.0 Pro at 4K, and Grok Imagine Video...HappyHorse 1.1 is the newer release (Jun 22, 2026); Grok Imagine Video 1.5 was released on Jun 16, 2026. Capabilities listed only for HappyHorse 1.1: audio sync. Capabilities listed only for Grok Imagine Video 1.5: text to video. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
HappyHorse 1.1 is the newer release (Jun 22, 2026); Grok Imagine Video 1.5 was released on Jun 16, 2026.
HappyHorse 1.1 lists the lower rate for 720p (per second) and 1080p (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.