Hailuo 02 is a text-to-video model on MiniMax, fine-tuned to output responsive 768P videos even for complex physics-driven scenes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.23per run·~43 / $10
A stylish couple dancing a slow tango in a dimly lit room, passionate glances, moody lighting, sultry music, sensual rhythm
A confident woman walking alone through an upscale lounge bar, wearing a black slit gown, subtle flirtatious expressions, cinematic camera sweep
A mysterious woman in a sheer dress walking through a moonlit hallway, slow camera pan, flirtatious expressions, high heels echoing, glowing ambient lighting, soft focus
A realistic video of a young man walking down a busy city street, sunlight reflecting on glass buildings, natural footsteps, slight camera shake, people passing by, realistic lighting and shadows, the man glances around casually and adjusts his jacket, cinematic urban atmosphere
a realistic video of a woman sitting by the window in a coffee shop, typing on her laptop, soft natural light on her face, steam rising from a cup of coffee, shallow depth of field, gentle background motion, natural breathing and subtle head movements
minimax/hailuo-02/t2v-standard converts pure text into cinematic video with strong prompt adherence, believable physics, and smooth scene transitions. Built on MiniMax’s evolving framework, it balances quality, speed, and cost for everyday creative production.
| Duration | Cost per job | Max Resolution |
|---|---|---|
| 6 s | $0.23 | 768p |
| 10 s | $0.56 | 768p |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/hailuo-02/t2v-standard with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Hailuo 02 T2v Standard below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/minimax/hailuo-02/t2v-standard" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 6,
"enable_prompt_expansion": true
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("minimax/hailuo-02/t2v-standard", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 6,
"enable_prompt_expansion": true
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"minimax/hailuo-02/t2v-standard",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 6,
"enable_prompt_expansion": true
}
)
print(output["outputs"][0]) # → URL of the generated outputHailuo 02 T2v Standard is a MiniMax model for video generation, exposed as a REST API on WaveSpeedAI. Hailuo 02 is a text-to-video model on MiniMax, fine-tuned to output responsive 768P videos even for complex physics-driven scenes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/minimax/minimax-hailuo-02-t2v-standard.
Hailuo 02 T2v Standard starts at $0.23 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `duration`, `enable_prompt_expansion`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/minimax/minimax-hailuo-02-t2v-standard.
Average end-to-end generation time on WaveSpeedAI is around 106 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (MiniMax). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.