HappyHorse 1.1 vs Kling 3.0 Turbo

HappyHorse 1.1 vs Kling 3.0 Turbo at a glance

HappyHorse 1.1 from Alibaba Cloud and Kling 3.0 Turbo from Kling AI are both in the Video Generation category, available through the EmpirioLabs API.

Key differences

• HappyHorse 1.1 is the newer release (Jun 22, 2026); Kling 3.0 Turbo was released on Jun 17, 2026.
• Capabilities listed only for HappyHorse 1.1: reference to video, audio sync.
• Capabilities listed only for Kling 3.0 Turbo: text to video, audio.
• HappyHorse 1.1 lists the lower rate for 720p (per second) and 1080p (per second).

HappyHorse 1.1 vs Kling 3.0 Turbo: specs

HappyHorse 1.1 vs Kling 3.0 Turbo: API pricing

Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.

HappyHorse 1.1 vs Kling 3.0 Turbo: API parameters

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.

HappyHorse 1.1 vs Kling 3.0 Turbo: limits and notes

HappyHorse 1.1

Modes (in one model)

• Text-to-video
• Image-to-video
• Reference-to-video (up to 9 images)

Constraints

• 720p / 1080p, 3 to 15 seconds per generation
• Prompt up to 2,500 characters

Aspect ratios

• Text and reference modes: 16:9, 9:16, 1:1, 4:3, 3:4
• Image-to-video follows the source image

Native audio is generated automatically.

Kling 3.0 Turbo

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.

Prompting

• There is no separate negative prompt. To steer away from unwanted elements, describe them in your prompt, for example: "a calm forest at dawn, avoid blurry motion, no on-screen text".

Multi-shot

• Generate up to 6 sequential shots by formatting the prompt like this (shot durations must sum to the total duration):

shot 1, <seconds>, <description>; shot 2, <seconds>, <description>;

Input limits

• Prompt up to 3,072 characters. Resolution 720p or 1080p. Duration 3 to 15 seconds. Aspect ratio 16:9, 9:16, or 1:1 for text-to-video (image-to-video follows the source image).
• Image inputs: JPEG or PNG, at least 300px per side, aspect within 1:2.5 to 2.5:1, up to 50 MB.

How to call HappyHorse 1.1 and Kling 3.0 Turbo

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 kling-3-0-turbo. 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."
  }'

HappyHorse 1.1 vs Kling 3.0 Turbo: common questions

What is the difference between HappyHorse 1.1 and Kling 3.0 Turbo?

HappyHorse 1.1 is the newer release (Jun 22, 2026); Kling 3.0 Turbo was released on Jun 17, 2026. Capabilities listed only for HappyHorse 1.1: reference to video, audio sync. Capabilities listed only for Kling 3.0 Turbo: text to video, audio. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, HappyHorse 1.1 or Kling 3.0 Turbo?

HappyHorse 1.1 is the newer release (Jun 22, 2026); Kling 3.0 Turbo was released on Jun 17, 2026.

Which has the lower rate, HappyHorse 1.1 or Kling 3.0 Turbo?

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.

Can I switch between HappyHorse 1.1 and Kling 3.0 Turbo without rebuilding my integration?

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.

Can I try HappyHorse 1.1 and Kling 3.0 Turbo in the browser before integrating?

Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.